The Curious Engineer

Radar

2019–2026

1,441 posts

← 2016–2018

2026 292

October 2026

  1. Getting Smarter, Not Just Faster
  2. This Week in AI: Agents Rewrite the Rules
  3. Who Governs What an Agent Learns?
  4. Cheap Code, Expensive Confidence
  5. The PHP Incident
  6. Are You Getting Your Money’s Worth From AI?
  7. Are agent harnesses dying? What harness distillation changes.
  8. Are agent harnesses dying? What harness distillation changes.
  9. This Week in AI: AI’s Growing Pains
  10. This Week in AI: AI’s Growing Pains
  11. Soloists, Copy-Pasters, and Tourists
  12. Owners, Not Renters: Raffi Krikorian on Open Source AI
  13. The Agentic Software Factory Hierarchy of Needs
  14. The Latest Anthropic Claude Models Contain AI Text Watermarks: What Does This Mean for You?
  15. The State of AI Security: Threats, Tools, and Skills Gaps
  16. The Second-User Test
  17. Building an AI Analyst, One Football Argument at a Time
  18. AI Changed How We Code. It Hasn’t Changed How We Work Together.
  19. This Week in AI: Expanding the Possibilities
  20. Code Review After Code Gets Cheap
  21. Generative AI in the Real World: Observability for AI with Charity Majors
  22. Agentic Code Quality
  23. Why Does AI Write Like Yoda?
  24. When Architecture Decisions Actually Apply
  25. Zero to Agent in 30 Minutes: Build a Personal Assistant on OpenClaw
  26. Designing Websites for People and AI Agents with WebMCP
  27. This Week in AI: More Capability, More Responsibility
  28. Intent, Not Identity
  29. The Preservation Gap in the AI Stack: Why Capability Is Advancing Faster Than Reconstructability
  30. Build Your Own Post-training Pipeline
  31. Radar Trends to Watch: October 2026
  32. Zero to Agent in 30 Minutes: Build Your First Agent with MCP
  33. How to Build Reliable AI Agent Systems for Production
  34. This Week in AI: Agents Are Outrunning the Systems Around Them
  35. Coding Agents Love Decision Records
  36. The Future of Software May Be Conversational Rather Than Autonomous

September 2026

  1. The Agentic Data Science Playbook
  2. Evaluating AI-Generated Frontend Code: What Should We Actually Test?
  3. Superpowers for Humans
  4. Not About Navier-Stokes
  5. A Data Center Is a Dependency Graph Before It Is a Building
  6. Zero to Agent in 30 Minutes: Give Your Agent Its Own Computer
  7. From Raw Data to Graph-Native AI
  8. Human Judgment Doesn’t Leave the Software Factory, It Relocates
  9. This Week in AI: AI’s Safety Problem
  10. When Software Subscriptions Become Public Policy
  11. Will TypeSafe’s Jev Change How We Build AI Applications?
  12. MCP Is Not Just Another API Standard
  13. The Accelerationist Case for Frontier Pacing
  14. AI Sovereignty: Bargaining with Big Tech and the Promise of Full Stack Open Source AI
  15. Zero to Agent in 30 Minutes: Build a Sports Concierge Agent with Chester Ismay
  16. The Post-training Process OpenAI Used for ChatGPT
  17. How to Get from AI-Assisted to AI Native
  18. Software Factories, Light and Dark
  19. This Week in AI: Capability, Capital, and Consequences
  20. Navigating the Modern Data Lexicon: A Working Vocabulary for the Semantic Era
  21. Architecting for the Knowledge You Can’t Capture
  22. What AI Can Teach Us About Being Human
  23. Beyond Navier–Stokes: Who Controls Scientific Discovery?
  24. Zero to Agent in 30 Minutes: Build a Shared Knowledge Base for All Your Agents with Sajal Sharma
  25. Enterprise Analytics Beyond Dashboards: Intelligent Data Orchestration with LLMs
  26. The Interfaces Are Arriving
  27. Operating Mode as Runtime State: A Contract for Enterprise
  28. When Content Is Free, Trust Is the Product
  29. Generative AI in the Real World: Local Voice AI with Pete Warden
  30. Own the Outer Loop
  31. LLMs Reward Expertise
  32. Zero to Agent in 30 Minutes: Build a Supply Chain for Agent Context with Maxim Salnikov
  33. Experience Mapping Matters More the Faster You Move
  34. This Week in AI: The Frontier Is Getting Bigger
  35. Inside a Software Factory
  36. Zero to Agent in 30 Minutes: Build a Content Engine with Max Johnson
  37. Hey AI, Can You Just Give Me a Hat Tip Please?
  38. What a User Story Actually Costs in a Dark Code Factory
  39. Radar Trends to Watch: September 2026

August 2026

  1. Zero to Agent in 30 Minutes: Building a Financial News Agent with Jayeeta Putatunda
  2. Architectural Guardrails for AI-Generated Code
  3. This Week in AI: The Guardrails Are Getting Tested
  4. Tokens Aren’t Dollars
  5. Writing with AI
  6. The Identity Crisis No One Planned For: Governing Nonhuman Agents at Enterprise Scale
  7. Effective Patterns for Advanced MCP Usage
  8. When Smaller Models Win
  9. The Design System as the Control Plane for AI-Generated UI
  10. Shadow Agents, Standing Privileges, and the Governance Gap Between Deployment and Discovery
  11. Data Intelligence: Building Your Competitive Advantage in the Era of AI
  12. Zero to Agent in 30 Minutes: Never Type Again with Craig Hewitt
  13. The Agent-Era Career
  14. This Week in AI: The Web Belongs to Agents Now
  15. Principal Drift in Practice
  16. When Your Buyer Is an AI Agent
  17. When Guardrails Go Wrong
  18. Is Open-Source AI Really the Dangerous Path?
  19. Zero to Agent in 30 Minutes: From Prompting to Loop Engineering with Ofer Mendelevitch
  20. What’s an Orchestrator—and Why Does Software Need One?
  21. When AI Writes the Code, Specifications Need an Exit Strategy
  22. This Week in AI: When agents outnumber people
  23. The Intent Debt
  24. Prompt Debt and “Fighting the Weights”
  25. Generative AI in the Real World: AI for Real Estate with Ben Miller
  26. Why “It Depends” Is the Most Future-Proof Phrase in Software
  27. The Two Pillars of Post-training: Reinforcement Learning and Supervised Fine-Tuning
  28. A Home for Personal Context
  29. Zero to Agent in 30 Minutes: Build a YouTube Analytics Agent with Vicki Reyzelman
  30. The Base Is Under Attack
  31. Why Open Source Matters for AI
  32. This Week in AI: Who Controls AI?
  33. AI on the Pi: Build Your Own Local Voice Agent
  34. Your AI Agent Isn’t a Static Artifact. It’s Growing Up.
  35. Building Organizational Intelligence
  36. Introduction to Post-training
  37. Radar Trends to Watch: August 2026
  38. We Keep Renaming AI Coding. Here’s What I’d Call It.

July 2026

  1. AI as an Enterprise Operating System
  2. This Week in AI: Agents, Gatekeepers, and World Models
  3. The Problem Is Prompt Debt
  4. What the Hell Is a Loop, Anyway?
  5. Teaching Coding When AI Can Write the Code
  6. AI Demands More Engineering Discipline, Not Less
  7. Zero to Agent in 30 Minutes: Build a Hermes Social Media Agent with Craig Hewitt
  8. Stranded in the Slow Zone
  9. The Economics of Agentic AI: Engineering for Imperfection
  10. This Week in AI: The Price of Intelligence
  11. You Probably Won’t Read This Article…and That’s OK
  12. The Meter Was Always Running
  13. Stop Overengineering Your Agent Harness
  14. Managers Are Not Overhead: They Are Infrastructure
  15. My AI Kept Pushing Me to Ship, So I Asked It Why
  16. Zero to Agent in 30 Minutes: Build a Workflow Agent with John Berryman
  17. The Tokens You Can’t Wait For
  18. This Week in AI: A First for Agentic Ransomware
  19. The Right Amount of Spec for Agentic Development
  20. Generative AI in the Real World: Agentic Coding with Chelsea Troy
  21. Coding Was Never a Bottleneck
  22. Don’t Neglect the Operational Groundwork
  23. The New Software Lifecycle
  24. The Open Source Agent Toolkit in 2026
  25. The Frontend Verification Gap in AI-Assisted Development
  26. This Week in AI: Chips, Checks, and Changing Jobs
  27. Prompt Injection to Data Exfil in 3 Hops
  28. AI Enthusiasts Are in a Race Against Time, AI Skeptics Are in a Race Against Entropy
  29. Why AI Coding Agents Still Need Clear Specs
  30. Ordinary Engineers, Not Heroic Inventors
  31. Radar Trends to Watch: July 2026
  32. This Week in AI: Multivendor Strategy
  33. Guidelines for Respectful Use of AI

June 2026

  1. The End of Tokenmaxxing
  2. Beyond Prompt Injection
  3. What You Bring to AI Determines the Result
  4. Agent Memory
  5. Agentic Code Review
  6. This Week in AI: Who Controls the Loop?
  7. So Long and Thanks for All the Context
  8. Stop Getting Good at Protocols. Get Good at Agent Experience.
  9. Principal Drift
  10. Loop Engineering
  11. This Week in AI: Fable 5, the Clone Wave, and Uber’s AI Reality Check
  12. Kubernetes in the Age of AI
  13. The Case Against Building Your Own Agent Platform
  14. Linear Thinking, Nonlinear Costs
  15. Who Owns the Code Claude Wrote?
  16. This Week in AI: The Next-Gen Recommendation Experience
  17. Generative AI in the Real World: Agentic Systems Fundamentals with Maarten Grootendorst
  18. When Context Collapses: Teaching Agents to Detect and Recover from Lost Memory
  19. The PM’s Playbook for Shipping AI Features That Actually Work in Production
  20. The Subsidy Ended: What Tool-Using Agents Actually Cost
  21. Long-Running Agents
  22. The AI Agents Stack (2026 Edition)
  23. This Week in AI: Production Viability
  24. I Let an AI Agent Run 40 Experiments While I Slept
  25. The Tidy House
  26. Predict, Don’t Enumerate
  27. Context as Code
  28. Radar Trends to Watch: June 2026
  29. AI Sovereignty and the Architecture of Participation
  30. SaaS Is Not Dead Yet

May 2026

  1. Open Source Ecosystems
  2. Your AI Agent Already Forgot Half of What You Told It
  3. Get a Good Return on Your AI Investments
  4. Agent Skills
  5. Who Authorized That? The Delegation Problem in Multi-Agent AI
  6. This Week in AI: Rethinking the Agent Harness
  7. The Agentic P&L: Beyond the Empire of Headcount
  8. The Agent Stack Bet
  9. When an Agent Deletes the Production Database
  10. AI Artifact Catalogs: Durable Standards Worth Institutional Investment
  11. Agent Skills Work but the Research Shows Most Teams Are Building Them Wrong
  12. Agent Harness Engineering
  13. Generative AI in the Real World: Chang She on Data Infrastructure for AI
  14. Why Doesn’t Anyone Teach Developers About Context Management?
  15. Ryan Carson Is a One-Person Code Factory
  16. Your AI Problem Is a Data Problem
  17. Burnout and Cognitive Debt
  18. Gyms for Them, Mirrors for Us
  19. From Capabilities to Responsibilities
  20. Fighting Tool Sprawl: The Case for AI Tool Registries
  21. The Best Risk Mitigation Strategy in Data? A Single Source of Truth
  22. Eating My Own Dog Food: How I Used the Framework to Write the Post About the Framework
  23. The Organization Is the Bottleneck
  24. Radar Trends to Watch: May 2026
  25. How AI Swarms Are Disrupting Democracy
  26. Local AI

April 2026

  1. Everyone’s an Engineer Now
  2. AI Code Review Only Catches Half of Your Bugs
  3. Don’t Automate Your Moat: Matching AI Autonomy to Risk and Competitive Stakes
  4. When Correct Systems Produce the Wrong Outcomes
  5. Show Your Work: The Case for Radical AI Transparency
  6. Emergency Pedagogical Design: How Programming Instructors Are Scrambling to Adapt to GenAI
  7. Behavioral Credentials: Why Static Authorization Fails Autonomous Agents
  8. Don’t Blame the Model
  9. Dark Factories: Rise of the Trycycle
  10. Scenario Planning for AI and the “Jobless Future”
  11. Trial by Fire: Crisis Engineering
  12. Generative AI in the Real World: Aishwarya Naresh Reganti on Making AI Work in Production
  13. Meet the Scope Creep Kraken
  14. AI Is Writing Our Code Faster Than We Can Verify It
  15. Grief and the Nonprofessional Programmer
  16. Comprehension Debt: The Hidden Cost of AI-Generated Code
  17. Agents don’t know what good looks like. And that’s exactly the problem.
  18. Architecture as Code to Teach Humans and Agents About Architecture
  19. AI-Infused Development Needs More Than Prompts
  20. Posthuman: We All Built Agents. Nobody Built HR.
  21. The World Needs More Software Engineers
  22. Radar Trends to Watch: April 2026
  23. Engineering Storefronts for Agentic Commerce
  24. The Cathedral, the Bazaar, and the Winchester Mystery House
  25. The Toolkit Pattern
  26. The Model You Love Is Probably Just the One You Use
  27. “Conviction Collapse” and the End of Software as We Know It

March 2026

  1. When AI Breaks the Systems Meant to Hear Us
  2. Software, in a Time of Fear
  3. The Missing Layer in Agentic AI
  4. Spotting and Avoiding ROT in Your Agentic AI
  5. How to Build a General-Purpose AI Agent in 131 Lines of Python
  6. The Mythical Agent-Month
  7. The Missing Mechanisms of the Agentic Economy
  8. Beyond Code Review
  9. Keep Deterministic Work Deterministic
  10. What Is the PARK Stack?
  11. Stop Closing the Door. Fix the House.
  12. A Fraudster’s Paradise
  13. Software Craftsmanship in the Age of AI
  14. Capability Architecture for AI-Native Engineering
  15. Generative AI in the Real World: Sharon Zhou on Post-Training
  16. Steve Yegge Wants You to Stop Looking at Your Code
  17. What OpenClaw Reveals About the Next Phase of AI Agents
  18. Fast Paths and Slow Paths
  19. New Kinds of Applications
  20. Soft Forks: How Agent Skills Create Specialized AI Without Training
  21. The Accidental Orchestrator
  22. The “Data Center Rebellion” Is Here
  23. Radar Trends to Watch: March 2026
  24. Why Capacity Planning Is Back
  25. How We Bet Against the Bitter Lesson

February 2026

  1. Semantic Layers in the Wild: Lessons from Early Adopters
  2. Why Multi-Agent Systems Need Memory Engineering
  3. Control Planes for Autonomous AI: Why Governance Has to Move Inside the System
  4. The Hidden Cost of Agentic Failure
  5. How to Write a Good Spec for AI Agents
  6. Packaging Expertise: How Claude Skills Turn Judgment into Artifacts
  7. What Developers Actually Need to Know Right Now
  8. AI Is Not a Library: Designing for Nondeterministic Dependencies
  9. AI, A2A, and the Governance Gap
  10. Conductors to Orchestrators: The Future of Agentic Coding
  11. Generative AI in the Real World: Fabiana Clemente on Synthetic Data for AI and Agentic Systems
  12. Organizational Strategies from the Collective Wisdom of Nature
  13. AI in China and the United States
  14. Designing Effective Multi-Agent Architectures
  15. Reverse Engineering Your Software Architecture with Claude Code to Help Claude Code
  16. The Agentic Commerce Revolution
  17. Beyond Pilot Purgatory
  18. Radar Trends to Watch: February 2026
  19. Measuring What Matters in the Age of AI Agents

January 2026

  1. The Five Skills I Actually Use Every Day as an AI PM (and How You Can Too)
  2. Auto-Reviewing Claude’s Code
  3. Evals Are NOT All You Need
  4. “Good Engineering Management” Is a Fad
  5. Effective Coauthoring: Tips and Techniques
  6. The Human Behind the Door
  7. AI in the Office
  8. Building AI-Powered SaaS Businesses
  9. The Fork-It-and-Forget Decade
  10. 21 Lessons from 14 Years at Google
  11. Generative AI in the Real World: Aurimas Griciūnas on AI Teams and Reliable AI Systems
  12. The Problem with AI “Artists”
  13. GPUs: Enterprise AI’s New Architectural Control Point
  14. MCP Sampling: When Your Tools Need to Think
  15. Signals for 2026
  16. The End of the Sync Script: Infrastructure as Intent
  17. The Missing Half of the AI Economy
  18. Radar Trends to Watch: January 2026
  19. MCPs for Developers Who Think They Don’t Need MCPs

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December 2025

  1. If You’ve Never Broken It, You Don’t Really Know It
  2. AI, MCP, and the Hidden Costs of Data Hoarding
  3. Building Applications with AI Agents
  4. Generative AI in the Real World: The Year in AI with Ksenia Se
  5. The End of Debugging
  6. Software 2.0 Means Verifiable AI
  7. What If? AI in 2026 and Beyond
  8. KubeCon + CloudNativeCon NA 2025 Recap
  9. Software in the Age of AI
  10. AI Agents Need Guardrails
  11. What MCP and Claude Skills Teach Us About Open Source for AI
  12. Radar Trends to Watch: December 2025

November 2025

  1. Job for 2027: Senior Director of Million-Dollar Regexes
  2. Generative AI in the Real World: The LLMOps Shift with Abi Aryan
  3. How Agentic AI Empowers Architecture Governance
  4. Build to Last
  5. The Trillion Dollar Problem
  6. Countering a Brutal Job Market with AI
  7. Generative AI in the Real World: Laurence Moroney on AI at the Edge
  8. AI Overviews Shouldn’t Be “One Size Fits All”
  9. Your AI Pair Programmer Is Not a Person
  10. The Other 80%: What Productivity Really Means
  11. Fixing Enterprise Apps with AI: The T+n Problem
  12. Scale Tiny Projects into a Resilient Data Culture
  13. Data Engineering in the Age of AI
  14. Jensen Huang Gets It Wrong, Claude Gets It Right
  15. Think Smaller: The Counterintuitive Path to AI Adoption
  16. Balancing Cost, Power, and AI Performance
  17. Radar Trends to Watch: November 2025
  18. On the AWS Outage

October 2025

  1. Generative AI in the Real World: Chris Butler on GenAI in Product Management
  2. The Java Developer’s Dilemma: Part 3
  3. AI Integration Is the New Moat
  4. Code Generation and the Shifting Value of Software
  5. AI Is Reshaping Developer Career Paths
  6. The Java Developer’s Dilemma: Part 2
  7. A Human-Centered Approach to Competitive Advantage
  8. Generative AI in the Real World: Context Engineering with Drew Breunig
  9. From Habits to Tools
  10. Magic Words: Programming the Next Generation of AI Applications
  11. Enlightenment
  12. The Architect’s Dilemma
  13. Everyday AI Agents
  14. Control Codegen Spend
  15. The AI Teaching Toolkit: Practical Guidance for Teams
  16. Radar Trends to Watch: October 2025
  17. Mapping the Design Space of AI Coding Assistants
  18. Generative AI in the Real World: Emmanuel Ameisen on LLM Interpretability
  19. The Cognitive Shortcut Paradox

September 2025

  1. The Java Developer’s Dilemma: Part 1
  2. Flow State to Free Fall: An AI Coding Cautionary Tale
  3. Why AI Efficiency May Be Making Your Organization More Fragile
  4. Trust but Verify
  5. Generative AI in the Real World: Faye Zhang on Using AI to Improve Discovery
  6. Prompt Engineering Is Requirements Engineering
  7. MCP in Practice
  8. When AI Writes Code, Who Secures It?
  9. Taming Chaos with Antifragile GenAI Architecture
  10. Building AI-Resistant Technical Debt
  11. Megawatts and Gigawatts of AI
  12. A “Beam Versus Dataflow” Conversation
  13. Generative AI in the Real World: Luke Wroblewski on When Databases Talk Agent-Speak
  14. AI Security Takes Center Stage at Black Hat USA 2025
  15. Looking Forward to AI Codecon
  16. Understanding the Rehash Loop
  17. Radar Trends to Watch: September 2025

August 2025

  1. Working with Contexts
  2. MCP Introduces Deep Integration—and Serious Security Concerns
  3. LLM System Design and Model Selection
  4. Firing Junior Developers Is Indeed the “Dumbest Thing”
  5. Context Engineering: Bringing Engineering Discipline to Prompts—Part 3
  6. Generative AI in the Real World: Understanding A2A with Heiko Hotz and Sokratis Kartakis
  7. We Are Only Beginning to Understand How to Use AI
  8. From Automation to Insight
  9. Why AI-Driven Client Apps Don’t Understand Your API
  10. Is AI a “Normal Technology”?
  11. Context Engineering: Bringing Engineering Discipline to Prompts—Part 2
  12. People Work in Teams, AI Assistants in Silos
  13. Taming the Delightful Chaos
  14. The Abstractions, They Are A-Changing
  15. AI’s Swiss Cheese
  16. Context Engineering: Bringing Engineering Discipline to Prompts—Part 1
  17. Generative AI in the Real World: Jay Alammar on Building AI for the Enterprise
  18. The Future of Product Management Is AI-Native
  19. What Ants Teach Us About AI Alignment
  20. Radar Trends to Watch: August 2025
  21. The Observability of Observability

July 2025

  1. Protocols and Power
  2. Interfaces That Build Themselves
  3. Hanoi Turned Upside Down
  4. AI and Education
  5. Generative AI in the Real World: Phillip Carter on Where Generative AI Meets Observability
  6. From REST to Reasoning: A Journey Through AI-First Architecture
  7. How Human-Centered AI Actually Gets Built
  8. The Next Leap for AI: Why Agents Need to Learn to Believe
  9. Inside the Ethical Hacker’s Mind: How Pros Make Split-Second Security Decisions
  10. Where Is AI on the Enshittification Curve?
  11. Unpacking Claude’s System Prompt
  12. APIs and Agents: What Developers Need to Know
  13. Generative AI in the Real World: Raiza Martin on Building AI Applications for Audio
  14. Whistle-Blowing Models
  15. The Future of Engineering Leadership
  16. The Sens-AI Framework: Teaching Developers to Think with AI
  17. Radar Trends to Watch: July 2025

June 2025

  1. Generative AI in the Real World: Stefania Druga on Designing for the Next Generation
  2. “More Slowly”
  3. CTO Hour Recap: Deliberate Engineering Strategy with Will Larson
  4. Coding for the Future Agentic World
  5. Designing Collaborative Multi-Agent Systems with the A2A Protocol
  6. MCP: What It Is and Why It Matters—Part 4
  7. Generative AI in the Real World: Douwe Kiela on Why RAG Isn’t Dead
  8. Normal Technology at Scale
  9. What Comes After the LLM: Human-Centered AI, Spatial Intelligence, and the Future of Practice
  10. MCP: What It Is and Why It Matters—Part 3
  11. Radar Trends to Watch: June 2025

May 2025

  1. Generative AI in the Real World: Danielle Belgrave on Generative AI in Pharma and Medicine
  2. AI First Puts Humans First
  3. MCP: What It Is and Why It Matters—Part 2
  4. 5 Skills Kids (and Adults) Need in an AI World
  5. Securing AI: Building with Guardrails Before Acceleration
  6. An Architecture of Participation for AI?
  7. Generative AI in the Real World: The Startup Opportunity with Gabriela de Queiroz
  8. Takeaways from Coding with AI
  9. Vibing at Home
  10. AI and Programming: The Beginning of a New Era
  11. MCP: What It Is and Why It Matters—Part 1
  12. Generative AI in the Real World: Securing AI with Steve Wilson
  13. Radar Trends to Watch: May 2025

April 2025

  1. “Death by 1,000 Pilots”
  2. Context Serialization
  3. Vibe Coding, Vibe Checking, and Vibe Blogging
  4. Generative AI in the Real World: Shreya Shankar on AI for Corporate Data Processing
  5. A Field Guide to Rapidly Improving AI Products
  6. Seniors and Juniors
  7. Generative AI in the Real World: Vibe Coding with Steve Yegge
  8. Copyright-Aware AI: Let’s Make It So
  9. Radar Trends to Watch: April 2025
  10. AI and the Structure of Scientific Revolutions
  11. Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

March 2025

  1. Generative AI in the Real World: Interactions Between Humans and AI with Rajeshwari Ganesan
  2. Congratulations, You Are Now an AI Company
  3. Think Different
  4. AI’s Future: Not Always Bigger
  5. International Women’s Day 2025
  6. Generative AI in the Real World: Getting Beyond the Demo with Hamel Husain
  7. Radar Trends to Watch: March 2025

February 2025

  1. Ascending Levels of Nerd
  2. Generative AI in the Real World: Agents—The Next Step in AI with Shelby Heinecke
  3. Using Generative AI to Build Generative AI
  4. AI Essentials for Tech Executives
  5. Bridging the AI Learning Gap
  6. Preparing for AI
  7. Generative AI in the Real World: Measuring Skills with Kian Katanforoosh
  8. The End of Programming as We Know It
  9. Radar Trends to Watch: February 2025

January 2025

  1. Biggest Doesn’t Win
  2. Generative AI in the Real World: Chloé Messdaghi on AI Security, Policy, and Regulation
  3. Beyond Prompt-and-Pray
  4. Technology Trends for 2025
  5. Radar Trends to Watch: January 2025

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December 2024

  1. Generative AI in the Real World: Tom Smoker on Getting Started with GraphRAG
  2. Quantum Error Correction Update 2024
  3. Summarizing Books as Podcasts
  4. Generative Logic
  5. Radar Trends to Watch: December 2024

November 2024

  1. Educating a New Generation of Workers
  2. Generative AI in the Real World: Robert Nishihara on AI and the Future of Data
  3. Unbundling the Graph in GraphRAG
  4. Blown Away
  5. Radar Trends to Watch: November 2024

October 2024

  1. Beyond Skills: Unlocking the Full Potential of Data Scientists
  2. Generative AI in the Real World: Getting Ahead of the Curve with Claire Vo
  3. Rift Between Junior and Senior Developers
  4. Ads Crowding Out Organic on Google (Shopping and Travel)
  5. Henry Ford Does AI
  6. The State of Security in 2024
  7. Radar Trends to Watch: October 2024

September 2024

  1. Generative AI in the Real World: The Future of Programming with Matt Welsh
  2. Preparing for AI
  3. The AI Blues
  4. Radar Trends to Watch: September 2024

August 2024

  1. Generative AI in the Real World: Kingsley Ndoh on Improving Cancer Care with AI
  2. Platform Engineering: The Next Step in Operations
  3. Think Better
  4. Generative AI in the Real World: Putting AI in the Hands of Farmers with Rikin Gandhi
  5. Radar Trends to Watch: August 2024

July 2024

  1. Generative AI in the Real World: Adopting AI in the Enterprise with Timothy Persons
  2. Software Architecture in an AI World
  3. Beyond Imitation
  4. Programming, Fluency, and AI
  5. Radar Trends to Watch: July 2024

June 2024

  1. Generative AI in the Real World: Learning How to Do AI Effectively with Alfred Spector
  2. Unlocking the Power of AI Driven Development with SudoLang
  3. How to Fix “AI’s Original Sin”
  4. Generative AI for Farming
  5. The New O’Reilly Answers: The R in “RAG” Stands for “Royalties”
  6. O’Reilly Answers: Now Leveraging GenAI that Cites Its Sources
  7. Answers: Generative AI as Learning Tool
  8. What We Learned from a Year of Building with LLMs (Part III): Strategy
  9. Radar Trends to Watch: June 2024

May 2024

  1. What We Learned from a Year of Building with LLMs (Part II)
  2. What We Learned from a Year of Building with LLMs (Part I)
  3. Generative AI in the Real World: Andrew Ng on where AI is headed. It’s about agents.
  4. Passwords and their Discontents
  5. Making Marketing More Effective with AI
  6. Radar Trends to Watch: May 2024

April 2024

  1. To understand the risks posed by AI, follow the money
  2. Generative AI in the Real World: Democratizing AI with Gwendolyn Stripling
  3. Rising Tide Rents and Robber Baron Rents
  4. Attacking Supply Chains at the Source
  5. Quality Assurance, Errors, and AI
  6. AI Has an Uber Problem
  7. Radar Trends to Watch: April 2024

March 2024

  1. Generative AI in the Real World: Competing in a Generative World with Justin Norman
  2. ChatGPT, Author of The Quixote
  3. Vacuum Tubes and Transistors
  4. International Women’s Day 2024
  5. Radar Trends to Watch: March 2024

February 2024

  1. Universal API Access from Postgres and SQLite
  2. Generative AI in the Real World: Pete Warden on Running AI on Small Systems
  3. Corporate Responsibility in the Age of AI
  4. The OpenAI Endgame
  5. Radar Trends to Watch: February 2024

January 2024

  1. Generative AI in the Real World: Chip Huyen on Finding Business Use Cases for Generative AI
  2. Technology Trends for 2024
  3. I Actually Chatted with ChatGPT
  4. Can Language Models Replace Compilers?
  5. Radar Trends to Watch: January 2024

2023 47

December 2023

  1. Copyright, AI, and Provenance
  2. Radar Trends to Watch: December 2023

November 2023

  1. Strawberry Fields Forever
  2. Generative AI in the Enterprise
  3. Creativity Isn’t Just Remixing
  4. Radar Trends to Watch: November 2023

October 2023

  1. Questions for 2024
  2. Preliminary Thoughts on the White House Executive Order on AI
  3. Model Collapse: An Experiment
  4. Prompting Isn’t The Most Important Skill
  5. Automated Mentoring with ChatGPT
  6. Radar Trends to Watch: October 2023

September 2023

  1. Structural Evolutions in Data
  2. The Real Problem with Software Development
  3. Radar Trends to Watch: September 2023

August 2023

  1. The next generation of developer productivity
  2. The ChatGPT Surge
  3. Radar Trends to Watch: August 2023

July 2023

  1. Real-Real-World Programming with ChatGPT
  2. Teaching Programming in the Age of ChatGPT
  3. Fearing the Wrong Thing
  4. Radar Trends to Watch: July 2023

June 2023

  1. Risk Management for AI Chatbots
  2. AI’s Opaque Box Is Actually a Supply Chain
  3. The Alignment Problem Is Not New
  4. You Can’t Regulate What You Don’t Understand
  5. ChatGPT, Now with Plugins
  6. Radar Trends to Watch: June 2023

May 2023

  1. Pause AI?
  2. Radar Trends to Watch: May 2023

April 2023

  1. Real World Programming with ChatGPT
  2. The Paradigm Shift to Cloudless Computing
  3. Not Forgotten
  4. Eye of the Beholder
  5. Radar Trends to Watch: April 2023

March 2023

  1. What Are ChatGPT and Its Friends?
  2. Getting the Right Answer from ChatGPT
  3. International Women’s Day 2023
  4. Radar Trends to Watch: March 2023
  5. Technology Trends for 2023

February 2023

  1. What’s the Killer App for Web3?
  2. Sydney and the Bard
  3. AI Hallucinations: A Provocation
  4. Radar Trends to Watch: February 2023

January 2023

  1. Automating the Automators: Shift Change in the Robot Factory
  2. Digesting 2022
  3. Radar Trends to Watch: January 2023

2022 47

December 2022

  1. What Does Copyright Say about Generative Models?
  2. Radar Trends to Watch: December 2022

November 2022

  1. AI’s ‘SolarWinds Moment’ Will Occur; It’s Just a Matter of When
  2. Technical Health Isn’t Optional
  3. Healthy Data
  4. Formal Informal Languages
  5. Radar Trends to Watch: November 2022

October 2022

  1. What We Learned Auditing Sophisticated AI for Bias
  2. The Collaborative Metaverse
  3. What Is Hyperautomation?
  4. Radar Trends to Watch: October 2022

September 2022

  1. The Problem with Intelligence
  2. Radar Trends to Watch: September 2022

August 2022

  1. Ad Networks and Content Marketing
  2. On Technique
  3. Scaling False Peaks
  4. The Metaverse Is Not a Place
  5. Radar Trends to Watch: August 2022

July 2022

  1. SQL: The Universal Solvent for REST APIs
  2. Artificial Creativity?
  3. Radar Trends to Watch: July 2022

June 2022

  1. 2022 Cloud Salary Survey
  2. “Sentience” is the Wrong Question
  3. Closer to AGI?
  4. Radar Trends to Watch: June 2022

May 2022

  1. Building a Better Middleman: Part 2
  2. Quantum Computing without the Hype
  3. Radar trends to watch: May 2022

April 2022

  1. Building a Better Middleman
  2. The General Purpose Pendulum
  3. Radar trends to watch: April 2022

March 2022

  1. AI Adoption in the Enterprise 2022
  2. D-Day in Kyiv
  3. The Future of Security
  4. Identity problems get bigger in the metaverse
  5. Recommendations for all of us
  6. International Women’s Day 2022
  7. Epstein Barr and the Cause of Cause
  8. Radar trends to watch: March 2022

February 2022

  1. Intelligence and Comprehension
  2. The Human Web
  3. Radar trends to watch: February 2022

January 2022

  1. Andy Warhol, Clay Christensen, and Vitalik Buterin walk into a bar
  2. Technology Trends for 2022
  3. What Is Causal Inference?
  4. What’s ahead for AI, VR, NFTs, and more?
  5. Radar trends to watch: January 2022

2021 45

December 2021

  1. Why it’s too early to get excited about Web3
  2. The Cloud in 2021: Adoption Continues
  3. Radar trends to watch: December 2021

November 2021

  1. Low-Code and the Democratization of Programming
  2. Remote Teams in ML/AI
  3. Radar trends to watch: November 2021

October 2021

  1. The Sobering Truth About the Impact of Your Business Ideas
  2. MLOps and DevOps: Why Data Makes It Different
  3. The Quality of Auto-Generated Code
  4. Radar trends to watch: October 2021

September 2021

  1. Ethical Social Media: Oxymoron or Attainable Goal?
  2. 2021 Data/AI Salary Survey
  3. Radar trends to watch: September 2021

August 2021

  1. Rebranding Data
  2. A Way Forward with Communal Computing
  3. Defending against ransomware is all about the basics
  4. Radar trends to watch: August 2021

July 2021

  1. Communal Computing’s Many Problems
  2. Thinking About Glue
  3. Radar trends to watch: July 2021

June 2021

  1. Hand Labeling Considered Harmful
  2. Two economies. Two sets of rules.
  3. Communal Computing
  4. Code as Infrastructure
  5. Radar trends to watch: June 2021

May 2021

  1. AI Powered Misinformation and Manipulation at Scale #GPT-3
  2. DeepCheapFakes
  3. Radar trends to watch: May 2021

April 2021

  1. Checking Jeff Bezos’s Math
  2. AI Adoption in the Enterprise 2021
  3. NFTs: Owning Digital Art
  4. Radar trends to watch: April 2021

March 2021

  1. InfoTribes, Reality Brokers
  2. The End of Silicon Valley as We Know It?
  3. The Next Generation of AI
  4. Radar trends to watch: March 2021

February 2021

  1. Product Management for AI
  2. 5 things on our data and AI radar for 2021
  3. 5 infrastructure and operations trends to watch in 2021
  4. The Wrong Question
  5. Radar trends to watch: February 2021

January 2021

  1. Where Programming, Ops, AI, and the Cloud are Headed in 2021
  2. Seven Legal Questions for Data Scientists
  3. Patterns
  4. Radar trends to watch: January 2021

2020 254

December 2020

  1. Four short links: 14 Dec 2020
  2. Four short links: 8 Dec 2020
  3. O’Reilly’s top 20 live online training courses of 2020
  4. What is functional programming?
  5. Four short links: 4 Dec 2020
  6. Four short links: 1 Dec 2020
  7. Radar trends to watch: December 2020

November 2020

  1. Four short links: 27 Nov 2020
  2. Four short links: 24 Nov 2020
  3. Four short links: 20 Nov 2020
  4. On Exactitude in Technical Debt
  5. Four short links: 17 Nov 2020
  6. Four short links: 13 Nov 2020
  7. Multi-Paradigm Languages
  8. Four short links: 10 November 2020
  9. Four short links: 6 Nov 2020
  10. Four short links: 4 Nov 2020
  11. Radar trends to watch: November 2020

October 2020

  1. Four short links: 30 Oct 2020
  2. Four short links: 28 Oct 2020
  3. Our Favorite Questions
  4. Four short links: 21 Oct 2020
  5. Four Short Links: 16 October 2020
  6. Four short links: 14 Oct 2020
  7. AI Product Management After Deployment
  8. Four short links: 9 October 2020
  9. AI and Creativity
  10. Four short links: 6 October 2020
  11. Four short links: 2 October 2020
  12. Radar trends to watch: October 2020

September 2020

  1. Four short links: 29 Sep 2020
  2. Four short links: 25 September 2020
  3. Four short links: 18 Sep 2020
  4. Four short links: 16 Sep 2020
  5. How to Set AI Goals
  6. Four short links: 11 Sep 2020
  7. Four short links: 9 Sep 2020
  8. Pair Programming with AI
  9. Four short links: 4 September 2020
  10. Four short links: 2 September 2020
  11. Radar trends to watch: September 2020

August 2020

  1. Four short links: 28 August 2020
  2. An Agent of Change
  3. Four short links: 25 August 2020
  4. Four short links: 21 August 2020
  5. Four Short Links: 19 August 2020
  6. Why Best-of-Breed is a Better Choice than All-in-One Platforms for Data Science
  7. Four short links: 14 August 2020
  8. The Least Liked Programming Languages
  9. Four short links: 11 Aug 2020
  10. Four short links: 7 Aug 2020
  11. Four short links: 5 August 2020
  12. Radar trends to watch: August 2020

July 2020

  1. Four short links: 31 July 2020
  2. Four short links: 30 July 2020
  3. Four short links: 29 July 2020
  4. Bringing an AI Product to Market
  5. Power, Harms, and Data
  6. Four short links: 27 July 2020
  7. Four short links: 24 July 2020
  8. Four short links: 26 July 2020
  9. Four short links: 22 July 2020
  10. AI, Protests, and Justice
  11. Four short links: 21 July 2020
  12. Four short links: 20 July 2020
  13. Four short links: 17 July 2020
  14. Four short links: 16 July 2020
  15. Microservices Adoption in 2020
  16. Four short links: 15 July 2020
  17. Society-Centered Design
  18. Four short links: 14 July 2020
  19. Four short links: 13 July 2020
  20. Four short links: 10 July 2020
  21. Automated Coding and the Future of Programming
  22. Four short links: 9 July 2020
  23. Four short links: 8 July 2020
  24. Four short links: 7 July 2020
  25. Four short links: 6 July 2020
  26. Four short links: 3 July 2020
  27. Four short links: 2 July 2020
  28. Radar trends to watch: July 2020
  29. Four short links: 1 July 2020

June 2020

  1. Four short links: 30 June 2020
  2. Four short links: 29 June 2020
  3. Four short links: 28 June 2020
  4. Four short links: 25 June 2020
  5. COVID-19 and Complex Systems
  6. Four short links: 24 June 2020
  7. Four short links: 23 June 2020
  8. Four short links: 22 June 2020
  9. Four short links: June 19, 2020
  10. Four short links: 17 June 2020
  11. Decision-Making in a Time of Crisis
  12. Four short links: 16 June 2020
  13. Four short links: 15 June 2020
  14. Four short links: 12 June 2020
  15. Four short links: 11 June 2020
  16. Four short links: 10 June 2020
  17. Machine Learning and the Production Gap
  18. Four short links: 9 June 2020
  19. Radar trends to watch: June 2020
  20. Four short links: 8 June 2020
  21. Four short links: 5 June 2020
  22. Four short links: 4 June 2020
  23. The Business of Open Source
  24. Four short links: 3 June 2020
  25. Four short links: 2 June 2020
  26. Four short links: 1 June 2020

May 2020

  1. Four short links: 29 May 2020
  2. Four short links: 28 May 2020
  3. Reclaiming the stories that algorithms tell
  4. Four short links: 27 May 2020
  5. Four short links: 26 May 2020
  6. Four short links: 25 May 2020
  7. Four short links: 22 May 2020
  8. Four short links: 21 May 2020
  9. Four short links: 20 May 2020
  10. Cloud Adoption in 2020
  11. Four short links: 19 May 2020
  12. What to Do When AI Fails
  13. Four short links: 18 May 2020
  14. Four short links: 15 May 2020
  15. Practical Skills for The AI Product Manager
  16. Four short links: 14 May 2020
  17. Four short links: 13 May 2020
  18. Four short links: 12 May 2020
  19. When models are everywhere
  20. Four short links: 11 May 2020
  21. Four short links: 8 May 2020
  22. Radar trends to watch: May 2020
  23. Four short links: 7 May 2020
  24. Four short links: 6 May 2020
  25. Four short links: 5 May 2020
  26. On COBOL
  27. Four short links: 4 May 2020
  28. Four short links: 1 May 2020

April 2020

  1. Four short links: 30 April 2020
  2. Four short links: 29 April 2020
  3. Four short links: 28 April 2020
  4. Four short links: 27 April 2020
  5. Four short links: 24 April 2020
  6. Four short links: 23 April 2020
  7. How data privacy leader Apple found itself in a data ethics catastrophe
  8. Four short links: 22 April 2020
  9. Four short links: 21 April 2020
  10. Four short links: 20 April 2020
  11. Four short links: 17 April 2020
  12. Four short links: 16 April 2020
  13. Four short links: 15 April 2020
  14. Four short links: 14 April 2020
  15. Radar trends to watch: April 2020
  16. Four short links: 13 April 2020
  17. Four short links: 10 April 2020
  18. Four short links: 9 April 2020
  19. Four short links: 8 April 2020
  20. Four short links: 7 April 2020
  21. Governance and Discovery
  22. Four short links: 6 April 2020
  23. Four short links: 3 April 2020
  24. Four short links: 2 April 2020
  25. Four short links: 1 April 2020

March 2020

  1. Four short links: 31 March 2020
  2. What you need to know about product management for AI
  3. The unreasonable importance of data preparation
  4. Four short links: 24 March 2020
  5. 3 ways to confront modern business challenges
  6. An enterprise vision is your company’s North Star
  7. Leaders need to mobilize change-ready workforces
  8. Great leaders inspire innovation and creativity from within their workforces
  9. Strong leaders forge an intersection of knowledge and experience
  10. Four short links: 23 March 2020
  11. Four short links: 20 March 2020
  12. 6 trends framing the state of AI and ML
  13. Four short links: 19 March 2020
  14. AI adoption in the enterprise 2020
  15. It’s an unprecedented crisis: 8 things to do right now
  16. Four short links: 18 March 2020
  17. Four short links: 17 March 2020
  18. Four short links: 16 March 2020
  19. Four short links: 13 March 2020
  20. Four short links: 12 March 2020
  21. Four short links: 11 March 2020
  22. Four short links: 10 March 2020
  23. Four short links: 9 March 2020
  24. Four short links: 6 March 2020
  25. Radar trends to watch: March 2020
  26. Four short links: 5 March 2020
  27. Remembering Freeman Dyson
  28. Four short links: 4 March 2020
  29. Four short links: 3 March 2020
  30. The death of Agile?
  31. Four short links: 2 March 2020

February 2020

  1. Four short links: 28 February 2020
  2. Four short links: 27 February 2020
  3. Where do great architectures come from?
  4. Intellectual control
  5. Architecture.Next: Invalidating old axioms
  6. Highlights from the O’Reilly Software Architecture Conference in New York 2020
  7. Four short links: 26 February 2020
  8. Sometimes I draw
  9. The elephant in the architecture
  10. From the trenches: Rachel Laycock
  11. Four short links: 25 February 2020
  12. Four short links: 24 February 2020
  13. Four short links: 22 February 2020
  14. Four short links: 20 February 2020
  15. 10 ways to get untapped talent in your organization to contribute
  16. Four short links: 19 February 2020
  17. 5 key areas for tech leaders to watch in 2020
  18. Four short links: 18 February 2020
  19. Four short links: 17 February 2020
  20. Four short links: 14 February 2020
  21. Four short links: 13 February 2020
  22. The state of data quality in 2020
  23. Four short links: 12 February 2020
  24. Four short links: 11 February 2020
  25. Four short links: 10 February 2020
  26. Four short links: 7 February 2020
  27. Radar trends to watch: February 2020
  28. Four short links: 6 February 2020
  29. Four short links: 5 February 2020
  30. Four short links: 4 February 2020
  31. AI meets operations
  32. Four short links: 3 February 2020

January 2020

  1. Four short links: 31 January 2020
  2. Four short links: 30 January 2020
  3. Four short links: 29 January 2020
  4. Four short links: 28 January 2020
  5. Four short links: 27 January 2020
  6. Four short links: 24 January 2020
  7. Four short links: 23 January 2020
  8. Four short links: 22 January 2020
  9. Four short links: 21 January 2020
  10. Four short links: 20 January 2020
  11. Four short links: 17 January 2020
  12. Four short links: 16 January 2020
  13. Reinforcement learning for the real world
  14. Four short links: 15 January 2020
  15. Four short links: 14 January 2020
  16. Where programming languages are headed in 2020
  17. Four short links: 13 January 2020
  18. Four short links: 10 January 2020
  19. Radar trends to watch: January 2020
  20. Four short links: 9 January 2020
  21. 9 additional books for the Next Economy
  22. Four short links: 8 January 2020
  23. 8 AI trends we’re watching in 2020
  24. Four short links: 7 January 2020
  25. Rethinking programming
  26. Four short links: 6 January 2020
  27. Four short links: 3 January 2020
  28. Four short links: 2 January 2020
  29. 10+ books for the Next Economy
  30. Four short links: 1 January 2020

2019 528

December 2019

  1. Four short links: 31 December 2019
  2. Four short links: 30 December 2019
  3. Four short links: 27 December 2019
  4. Four short links: 26 December 2019
  5. Four short links: 25 December 2019
  6. Four short links: 24 December 2019
  7. Four short links: 23 December 2019
  8. Four short links: 20 December 2019
  9. Four short links: 19 December 2019
  10. AI is computer science disguised as hard work
  11. Four short links: 18 December 2019
  12. Four short links: 17 December 2019
  13. 5 industries that demonstrate how blockchains go beyond finance
  14. Four short links: 16 December 2019
  15. Four short links: 13 December 2019
  16. Why you should care about debugging machine learning models
  17. Four short links: 12 December 2019
  18. Four short links: 11 December 2019
  19. The road to Software 2.0
  20. Four short links: 10 December 2019
  21. Four short links: 9 December 2019
  22. Four short links: 6 December 2019
  23. Radar trends to watch: December 2019
  24. Four short links: 5 December 2019
  25. Four short links: 4 December 2019
  26. Use your people as competitive advantage
  27. Four short links: 3 December 2019
  28. A 5G future
  29. Four short links: 2 December 2019

November 2019

  1. Four short links: 29 November 2019
  2. Four short links: 28 November 2019
  3. Four short links: 27 November 2019
  4. Moving AI and ML from research into production
  5. Four short links: 26 November 2019
  6. Four short links: 25 November 2019
  7. Four short links: 22 November 2019
  8. Why you should care about robotic process automation
  9. Unraveling the mystery of code
  10. Four short links: 21 November 2019
  11. Four short links: 20 November 2019
  12. There’s a path to an AI ROI
  13. Four short links: 19 November 2019
  14. Four short links: 18 November 2019
  15. Four short links: 15 November 2019
  16. “AI is a lie”
  17. Four short links: 14 November 2019
  18. Four short links: 13 November 2019
  19. O’Reilly serverless survey 2019: Concerns, what works, and what to expect
  20. Improving the military UX
  21. Four short links: 12 November 2019
  22. Four short links: 11 November 2019
  23. Bitcoin and the disruption of monetary oppression
  24. Four short links: 8 November 2019
  25. Highlights from the O’Reilly Software Architecture Conference in Berlin 2019
  26. Highlights from the O’Reilly Velocity Conference in Berlin 2019
  27. From the trenches: Patrick Kua
  28. 5 things Go taught me about open source?
  29. Building high-performing engineering teams, one pixel at a time
  30. How to deploy infrastructure in just 13.8 billion years
  31. Controlled chaos: The inevitable marriage of DevOps and security
  32. The ultimate guide to complicated systems
  33. Cognitive biases in the architect’s life
  34. The three-headed dog: Architecture, process, structure
  35. A world of deepfakes
  36. Radar trends to watch: November 2019
  37. Four short links: 7 November 2019
  38. Modern machine learning architectures: Data and hardware and platform, oh my
  39. The new norms of cloud native
  40. Observability: Understanding production through your customers’ eyes
  41. Secure reliable systems
  42. My love letter to computer science is very short and I also forgot to mail it
  43. Everything is a little bit broken; or, The illusion of control
  44. Four short links: 6 November 2019
  45. It’s important to cultivate your organization’s collective genius
  46. Four short links: 5 November 2019
  47. Four short links: 4 November 2019
  48. Quantum computing’s potential is still far off, but quantum supremacy shows we’re on the right track
  49. Four short links: 1 November 2019
  50. Highlights from TensorFlow World in Santa Clara, California 2019
  51. Sticker recommendations and AI-driven innovations on the Hike messaging platform
  52. “Human error”: How can we help people build models that do what they expect
  53. Personalization of Spotify Home and TensorFlow
  54. TensorFlow.js: Bringing machine learning to JavaScript
  55. TFX: An end-to-end ML platform for everyone
  56. MLIR: Accelerating AI
  57. TensorFlow Hub: The platform to share and discover pretrained models for TensorFlow
  58. TensorFlow Lite: ML for mobile and IoT devices

October 2019

  1. Four short links: 31 October 2019
  2. Accelerating ML at Twitter
  3. The latest from TensorFlow
  4. TensorFlow World 2019 opening keynote
  5. TensorFlow community announcements
  6. Defusing propaganda feedback loops on the social web
  7. Four short links: 30 October 2019
  8. Four short links: 29 October 2019
  9. Four short links: 28 October 2019
  10. Four short links: 25 October 2019
  11. Four short links: 24 October 2019
  12. Four short links: 23 October 2019
  13. How social forces could drive blockchain demand
  14. Four short links: 22 October 2019
  15. Four short links: 21 October 2019
  16. Four short links: 18 October 2019
  17. Highlights from the O’Reilly Artificial Intelligence Conference in London 2019
  18. When to trust AI
  19. When flying is cheaper than standing still
  20. Machine learning challenges at LinkedIn: Spark, TensorFlow, and beyond
  21. Accelerate with purpose
  22. The quest for high-quality data
  23. Four short links: 17 October 2019
  24. Real-time AI for entity resolution
  25. The power of knowledge at scale
  26. Building and deploying AI applications and systems at scale
  27. Large-scale machine learning at Facebook: Implications of platform design on developer productivity
  28. Four short links: 16 October 2019
  29. Four short links: 15 October 2019
  30. Four short links: 14 October 2019
  31. Four short links: 11 October 2019
  32. Machine learning for operational analytics and business intelligence
  33. Four short links: 10 October 2019
  34. What’s driving cloud native and distributed systems in 2019
  35. Four short links: 9 October 2019
  36. Four short links: 8 October 2019
  37. Radar trends to watch: October 2019
  38. Four short links: 7 October 2019
  39. Four short links: 4 October 2019
  40. Four short links: 3 October 2019
  41. Four short links: 2 October 2019
  42. Four short links: 1 October 2019
  43. TinyML: The challenges and opportunities of low-power ML applications

September 2019

  1. Four short links: 30 September 2019
  2. Highlights from the Strata Data Conference in New York 2019
  3. Four short links: 27 September 2019
  4. Delivering the enterprise data cloud
  5. Data Science Pioneers: Conquering the next frontier, a documentary investigating the future of data science
  6. Postrevolutionary big data: Promoting the general welfare
  7. Say what? The ethical challenges of designing for humanlike interaction
  8. RL in real life: Bringing reinforcement learning to the enterprise
  9. Staying safe in the AI era
  10. Strata Data Awards winners 2019
  11. Unlocking the value of your data
  12. Data sonification: Making music from the yield curve
  13. Machine learning and analytics for time series data
  14. Four Short Links: 26 September 2019
  15. The future of Google Cloud data processing
  16. Interactive sports analytics
  17. AI isn’t magic. It’s computer science.
  18. How disruptive tech is reshaping the financial services industry
  19. Recent trends in data and machine learning technologies
  20. Unleash the power of data at scale
  21. Everything is connected and the clock is ticking
  22. Cisco Data Intelligence Platform
  23. Four short links: 25 September 2019
  24. Four short links: 24 September 2019
  25. Fit and value: The business case for blockchain
  26. Four short links: 23 September 2019
  27. Four short links: 20 September 2019
  28. Four short links: 19 September 2019
  29. Four short links: 18 September 2019
  30. Four short links: 17 September 2019
  31. Four short links: 16 September 2019
  32. Radar trends to watch: September 2019
  33. Four short links: 13 September 2019
  34. Safe and smarter driving, powered by AI
  35. On gradient-based methods for finding game-theoretic equilibria
  36. Accelerate with purpose
  37. Practical insights into deep reinforcement learning
  38. Open-endedness: A new grand challenge for AI
  39. Understanding deep neural networks
  40. Four short links: 12 September 2019
  41. AI for ophthalmology: Doing what doctors can’t
  42. Enabling AI’s potential through wafer-scale integration
  43. Getting from A to AI
  44. Highlights from the O’Reilly Artificial Intelligence Conference in San Jose 2019
  45. Going beyond fully supervised learning
  46. Developing AI responsibly
  47. Unlocking the value of your data
  48. Four short links: 11 September 2019
  49. Four short links: 10 September 2019
  50. Topics to watch at the Strata Data Conference in New York 2019
  51. Four short links: 9 September 2019
  52. Four short links: 6 September 2019
  53. Four short links: 5 September 2019
  54. Four short links: 4 September 2019
  55. Four short links: 3 September 2019
  56. How new tools in data and AI are being used in health care and medicine
  57. Machine learning requires a fundamentally different deployment approach
  58. What is Next Architecture?
  59. Four short links: 2 September 2019

August 2019

  1. Four short links: 30 August 2019
  2. Becoming a machine learning practitioner
  3. Four short links: 29 August 2019
  4. Four short links: 28 August 2019
  5. Four short links: 27 August 2019
  6. How organizations are sharpening their skills to better understand and use AI
  7. Four short links: 26 August 2019
  8. Four short links: 23 August 2019
  9. Four short links: 22 Aug 2019
  10. Four short links: 21 August 2019
  11. Four short links: 20 August 2019
  12. Antitrust regulators are using the wrong tools to break up Big Tech
  13. Four short links: 19 August 2019
  14. Labeling, transforming, and structuring training data sets for machine learning
  15. Four short links: 15 August 2019
  16. Four short links: 14 August 2019
  17. Four short links: 13 August 2019
  18. Four short links: 12 August 2019
  19. Four short links: 9 August 2019
  20. Four short links: 8 August 2019
  21. Got speech? These guidelines will help you get started building voice applications
  22. Four short links: 7 August 2019
  23. Four short links: 6 August 2019
  24. Four short links: 5 August 2019
  25. Highlights from the O’Reilly Open Source Software Conference in Portland 2019
  26. Four short links: 2 August 2019
  27. Make data science more useful
  28. Four short links: 1 August 2019

July 2019

  1. Learning from adversaries
  2. Four short links: 31 July 2019
  3. Four short links: 30 July 2019
  4. Four short links: 29 July 2019
  5. Four short links: 26 July 2019
  6. Four short links: 25 July 2019
  7. Four short links: 24 July 2019
  8. Four short links: 23 July 2019
  9. Four short links: 22 July 2019
  10. Four short links: 19 July 2019
  11. The war for the soul of open source
  12. O’Reilly Open Source and Frank Willison Awards
  13. Managing machines
  14. O’Reilly Radar: Open source technology trends—What our users tell us
  15. Ask not what Brands™ can do for you
  16. Open source force multipliers
  17. Acquiring and sharing high-quality data
  18. Four short links: 18 July 2019
  19. The next age of open innovation
  20. Why Amazon cares about open source
  21. The role of open source in mitigating natural disasters
  22. Built to last: Building and growing open source communities
  23. Better living through software
  24. Four short links: 17 July 2019
  25. Four short links: 16 July 2019
  26. Managing machine learning in the enterprise: Lessons from banking and health care
  27. Four short links: 15 July 2019
  28. Four short links: 12 July 2019
  29. Four short links: 11 July 2019
  30. Four short links: 10 July 2019
  31. The circle of fairness
  32. Four short links: 9 July 2019
  33. Highlights from the O’Reilly Artificial Intelligence Conference in Beijing 2019
  34. Toward learned algorithms, data structures, and systems
  35. Designing computer hardware for artificial intelligence
  36. AI and retail
  37. Data orchestration for AI, big data, and cloud
  38. Top AI breakthroughs you need to know
  39. AI and systems at RISELab
  40. The future of machine learning is tiny
  41. The future of hiring and the talent market with AI
  42. Four short links: 8 July 2019
  43. Four short links: 5 July 2019
  44. Four short links: 4 July 2019
  45. Tools for machine learning development
  46. Four short links: 3 July 2019
  47. Four short links: 2 July 2019
  48. RISELab’s AutoPandas hints at automation tech that will change the nature of software development
  49. Four short links: 1 July 2019

June 2019

  1. Four short links: 28 June 2019
  2. How to become a truly data-driven organization
  3. Demystifying the dark web
  4. Iterative competition is a catalyst for better problem solving
  5. Four steps for tackling technical debt
  6. Use technology to do what you do better
  7. One simple chart: Who is interested in Spark NLP?
  8. Four short links: 27 June 2019
  9. How O’Reilly Radar spots the next big thing
  10. AI and machine learning will require retraining your entire organization
  11. Four short links: 26 June 2019
  12. Four short links: 25 June 2019
  13. Four short links: 24 June 2019
  14. Four short links: 21 June 2019
  15. Four short links: 20 June 2019
  16. Enabling end-to-end machine learning pipelines in real-world applications
  17. Four short links: 19 June 2019
  18. What are model governance and model operations?
  19. The quest for high-quality data
  20. Four short links: 18 June 2019
  21. From waterfall to progressive delivery: A brief history and peak into the future of software delivery models
  22. Demystifying the blockchain
  23. Blockchain’s potential beyond cryptocurrency
  24. AI needs a training reboot
  25. We need more than innovation to build a world that’s prosperous for all
  26. AI is an opportunity to redefine entire ecosystems
  27. Why grit and kindness are necessary for digital transformation
  28. How to get things done in a large organization
  29. Digital transformation is a people problem, not a technology problem
  30. Four short links: 17 June 2019
  31. Prioritizing technical debt as if time and money mattered
  32. From the trenches with Rebecca Parsons
  33. Choices of scale
  34. Balance your ecosystem to succeed at business
  35. Innovating democracy and democratizing innovation
  36. Four short links: 14 June 2019
  37. Architect as storyteller
  38. Kubernetes for the impatient
  39. Highlights from the O’Reilly Software Architecture Conference in San Jose 2019
  40. Cultivating production excellence
  41. The cloud native elephant in the room
  42. How do we heal?
  43. Infrastructure first: Because solving complex problems needs more than technology
  44. Security and deception: Lessons from a professional liar
  45. Cultivate your personal design heuristics
  46. Next Architecture
  47. Four short links: 13 June 2019
  48. Highlights from the O’Reilly Velocity Conference in San Jose 2019
  49. From puzzles to products
  50. Community projects inform enterprise products
  51. The SRE I aspire to be
  52. Channel into the universe of eventually perfect distributed systems
  53. Scaling teams with technology (or is it the other way around?)
  54. Four short links: 12 June 2019
  55. Four short links: 11 June 2019
  56. AI adoption is being fueled by an improved tool ecosystem
  57. Maximizing paper clips
  58. Four short links: 10 June 2019
  59. Bringing scalable real-time analytics to the enterprise
  60. Four short links: 7 June 2019
  61. Four short links: 6 June 2019
  62. Four short links: 5 June 2019
  63. Four short links: 4 June 2019
  64. What’s driving open source software in 2019
  65. Four short links: 3 June 2019

May 2019

  1. Four short links: 31 May 2019
  2. Four short links: 30 May 2019
  3. Four short links: 29 May 2019
  4. Four short links: 28 May 2019
  5. Four short links: 27 May 2019
  6. Four short links: 24 May 2019
  7. Applications of data science and machine learning in financial services
  8. Four short links: 23 May 2019
  9. Four short links: 22 May 2019
  10. Four short links: 21 May 2019
  11. Becoming a machine learning company means investing in foundational technologies
  12. Four short links: 20 May 2019
  13. Four short links: 17 May 2019
  14. The topics to watch in software architecture
  15. Four short links: 16 May 2019
  16. Four short links: 15 May 2019
  17. How AI and machine learning are improving customer experience
  18. Making Facebook a scapegoat is a mistake
  19. Four short links: 14 May 2019
  20. Four short links: 13 May 2019
  21. Toward the next generation of programming tools
  22. Four short links: 10 May 2019
  23. Real-time entity resolution made accessible
  24. Four short links: 9 May 2019
  25. Four short links: 8 May 2019
  26. Four short links: 7 May 2019
  27. Four short links: 6 May 2019
  28. Four short links: 3 May 2019
  29. Rise of the (advertising) machines
  30. Combining creativity and analytics
  31. Building data science capacity in your organization
  32. The unstoppable rise of white box data
  33. Privacy, identity, and autonomy in the age of big data and AI
  34. Four short links: 2 May 2019
  35. Making the future
  36. Sustaining machine learning in the enterprise
  37. Finding your North Star
  38. The enterprise data cloud
  39. Making data science useful
  40. Highlights from the Strata Data Conference in London 2019
  41. Four short links: 1 May 2019

April 2019

  1. How companies adopt and apply cloud native infrastructure
  2. Looking Back on the O’Reilly Artificial Intelligence Conference
  3. Four short links: 30 April 2019
  4. Four short links: 29 April 2019
  5. Four short links: 26 April 2019
  6. Why companies are in need of data lineage solutions
  7. Four short links: 25 April 2019
  8. Four short links: 24 April 2019
  9. Four short links: 23 April 2019
  10. Four short links: 22 April 2019
  11. Automating ethics
  12. Four short links: 19 April 2019
  13. Simple, scalable, and sustainable: A methodical approach to AI adoption
  14. Software 2.0 and Snorkel
  15. Computational propaganda
  16. Artificial intelligence: The “refinery” for data
  17. Decoding the human genome with deep learning
  18. Applied machine learning at Facebook
  19. Making real-world distributed deep learning easy with Nauta
  20. Automation of AI: Accelerating the AI revolution
  21. Four short links: 18 April 2019
  22. Highlights from the O’Reilly Artificial Intelligence Conference in New York 2019
  23. Data fueling AI of the future
  24. Toward ethical AI: Inclusivity as a messy, difficult, but promising answer
  25. Automated ML: A journey from CRISPR.ML to Azure ML
  26. Fast, flexible, and functional: 4 real-world AI deployments at enterprise scale
  27. Machine learning for personalization
  28. Checking in on AI tools
  29. Is AI human-ready?
  30. AI and the robotics revolution
  31. How AI adaptive technology can upgrade education
  32. Four short links: 17 April 2019
  33. Four short links: 16 April 2019
  34. Four short links: 15 April 2019
  35. Strata San Francisco, 2019: Opportunities and Risks
  36. Four short links: 12 April 2019
  37. What data scientists and data engineers can do with current generation serverless technologies
  38. Four short links: 11 April 2019
  39. Four short links: 10 April 2019
  40. Four short links: 9 April 2019
  41. Four short links: 8 April 2019
  42. Four short links: 5 April 2019
  43. Four short links: 4 April 2019
  44. Four short links: 3 April 2019
  45. De-biasing language
  46. Four short links: 2 April 2019
  47. Four short links: 1 April 2019

March 2019

  1. Four short links: 29 March 2019
  2. Keith Radar Static Test
  3. Highlights from the Strata Data Conference in San Francisco 2019
  4. Hacking the vote: The neuropolitical universe
  5. The enterprise data cloud
  6. Forecasting uncertainty at Airbnb
  7. Likewar: How social media is changing the world and how the world is changing social media.
  8. Chatting with machines: Strange things 60 billion bot logs say about human nature
  9. Data warehousing is not a use case
  10. Winners of the Strata Data Awards 2019
  11. It’s time for data scientists to collaborate with researchers in other disciplines
  12. Four short links: 28 March 2019
  13. AI and cryptography: Challenges and opportunities
  14. Scoring your business in the AI matrix
  15. Streamlining your data assets: A strategy for the journey to AI
  16. The journey to the data-driven enterprise from the edge to AI
  17. Four short links: 27 March 2019
  18. Four short links: 26 March 2019
  19. Four short links: 25 March 2019
  20. Four short links: 22 March 2019
  21. The fundamental problem with Silicon Valley’s favorite growth strategy
  22. Four short links: 21 March 2019
  23. Four short links: 20 March 2019
  24. Four short links: 19 March 2019
  25. Four short links: 18 March 2019
  26. Four short links: 15 March 2019
  27. Algorithms are shaping our lives—here’s how we wrest back control
  28. Four short links: 14 March 2019
  29. Changing contexts and intents
  30. Four short links: 13 March 2019
  31. Future of the firm
  32. What is O’Reilly Radar?
  33. Four short links: 12 March 2019
  34. Four short links: 11 March 2019
  35. Four short links: 8 March 2019
  36. Four short links: 7 March 2019
  37. Four short links: 6 March 2019
  38. Four short links: 5 March 2019
  39. Four short links: 4 March 2019
  40. Four short links: 1 March 2019

February 2019

  1. Why your attention is like a piece of contested territory
  2. Four short links: 28 February 2019
  3. Four short links: 27 February 2019
  4. Four short links: 26 February 2019
  5. Four short links: 25 February 2019
  6. Four short links: 22 February 2019
  7. The evolution and expanding utility of Ray
  8. Four short links: 21 February 2019
  9. Three surveys of AI adoption reveal key advice from more mature practices
  10. Four short links: 20 February 2019
  11. Four short links: 19 February 2019
  12. Four short links: 18 February 2019
  13. Four short links: 15 February 2019
  14. The technical, societal, and cultural challenges that come with the rise of fake media
  15. Four short links: 14 February 2019
  16. Four short links: 13 February 2019
  17. Four short links: 12 February 2019
  18. Four short links: 11 February 2019
  19. Four short links: 8 February 2019
  20. Four short links: 7 February 2019
  21. Roaming free: The power of reading beyond your field
  22. Design and architecture: Special Dumpster Fire Unit
  23. Design after Agile: How to succeed by trying less
  24. Four short links: 6 February 2019
  25. The future of cloud-native programming
  26. Highlights from the O’Reilly Software Architecture Conference in New York 2019
  27. From the trenches: An interview with Mark Richards
  28. Career advice for architects
  29. 3 emerging trends tech leaders should watch in 2019
  30. Four short links: 5 February 2019
  31. Artificial intelligence and machine learning adoption in European enterprise
  32. Reinforcement learning for the birds
  33. Four short links: 4 February 2019
  34. Four short links: 1 February 2019

January 2019

  1. Using machine learning and analytics to attract and retain employees
  2. Four short links: 31 January 2019
  3. Four short links: 30 January 2019
  4. How companies are building sustainable AI and ML initiatives
  5. Four short links: 29 January 2019
  6. Four short links: 28 January 2019
  7. Rethinking informed consent
  8. Four short links: 25 January 2019
  9. Four short links: 24 January 2019
  10. 7 web dev trends on our radar
  11. Four short links: 23 January 2019
  12. Four short links: 22 January 2019
  13. 9 trends to watch in systems engineering and operations
  14. Four short links: 21 January 2019
  15. Four short links: 18 January 2019
  16. How machine learning impacts information security
  17. Four short links: 17 January 2019
  18. What lies ahead for Python, Java, Go, C#, Kotlin, and Rust
  19. Overcoming barriers to AI adoption
  20. Four short links: 16 January 2019
  21. Four short links: 15 January 2019
  22. 9 AI trends on our radar
  23. Four short links: 14 January 2019
  24. Four short links: 11 January 2019
  25. Gradually, then suddenly
  26. Four short links: 10 January 2019
  27. Four short links: 9 January 2019
  28. Four short links: 8 January 2019
  29. 7 data trends on our radar
  30. Four short links: 7 January 2019
  31. Four short links: 4 January 2019
  32. In the age of AI, fundamental value resides in data
  33. Four short links: 3 January 2019
  34. Four short links: 2 January 2019
  35. Four short links: 1 January 2019

← 2016–2018