The Curious Engineer

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Inside Atlassian

atlassian.com/blog

Research, expert perspectives, and product announcements from Atlassian on how teams can work smarter with AI. Subscribe for monthly insights on the future of teamwork.

Software / engineering practiceEngineering management / careersAI / ML

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7,660 from 27 Jan 2002 to 30 Oct 2026
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about daily (431 in the last year)
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Latest

October 2026

  1. How enterprise addmins are taking control of cloud performance…..and why it matters
  2. Tackling agent sprawl across the enterprise
  3. Introducing the Context Quality Score (CQS): a new framework for measuring and optimizing AI context
  4. A fresh look for Bitbucket Pipelines
  5. Jira’s autumn 2026 release: a faster board and better work item, agents you can actually see, and consistency without the admin tax
  6. Jira’s depth, on demand: designing an MCP server around jobs, not endpoints
  7. Factory brings autonomous coding work into Jira
  8. AI workslop is a standards problem
  9. $7 billion and counting: Why now is the time to build on Atlassian
  10. Connect Agentic Pipelines to the redesigned Atlassian MCP
  11. AI is exposing the missing layer in strategic planning
  12. Showing what you mean in the age of AI
  13. Merge queue APIs now available in Bitbucket Cloud
  14. Optimize your test suite with two new agents
  15. How we used Agentic Pipelines to turn test coverage into a daily habit
  16. Say yes to AI context without losing control: a new way to set up and govern connectors in Atlassian Administration
  17. AI is making developers faster. It’s also exposing what’s broken in software delivery
  18. Context engineering: managing context quality for more efficient, effective AI
  19. How a context graph makes enterprise AI more accurate and less expensive
  20. Millions of users moved to cloud in just one year thanks to FastShift
  21. Connect Bitbucket Cloud to your AI tools with Atlassian MCP
  22. How to use AI to plan a team offsite that works
  23. For the second straight year, Atlassian named a Leader in the 2026 Gartner® Magic Quadrant™ for Collaborative Work Management Platforms
  24. How we accelerated code review in a large monorepo using Agentic Pipelines
  25. The smartest way to cut AI costs isn’t to use less AI
  26. Turn Slack conversations into connected context with Teamwork Graph
  27. Building better, together
  28. How The Browser Company moves so fast: 3 habits you can borrow
  29. Shift happens. Stop the strategic drift before it compounds.
  30. From support function to AI leader: Atlassian’s blueprint for HR-led transformation
  31. Meet the all-new Loom for Mac: faster, sharper, and delightful by default
  32. Expanding Asset Discovery: Atlassian Announces Collaboration Agreement with Flexera
  33. Announcing the Team 2026 Europe Atlassian Impact Maker Award Winners
  34. Bring data context into the Teamwork Graph, so every team can put Insights to work
  35. Meet the Forward Deployed Engineer
  36. Atlassian brings the AI-native SDLC from playbook to production
  37. Put Your Context to Work: What’s New in the Teamwork Collection
  38. Transforming Service Management for the AI Era
  39. The Atlassian platform is for multiplayer human-agent work
  40. The End of Single-Player AI
  41. Atlassian MCP brings more of your work within reach of any AI agent
  42. Grounding Frontier Intelligence in Enterprise Context
  43. The AI SDLC transformation playbook
  44. Why the real AI advantage is organizational system design

September 2026

  1. Reshaping education for the AI era will take teamwork
  2. Why context is the biggest unlock for your AI strategy
  3. Why context is the biggest unlock for your AI strategy
  4. The hidden cost of leaders manually holding the organization together
  5. Closing the Four Gaps Between Strategy and Outcomes
  6. When strategy shifts, how quickly can your organization follow?
  7. Shift happens: Finding and fixing the gap between strategic intent and actual work
  8. Accenture Global IT mastered 6,400 OKRs, but making them visible to leaders was the next challenge.
  9. Introducing CAFE(S): A framework for defining AI context quality
  10. How we automated feature-flag cleanup with Agentic Pipelines
  11. The next chapter of public sector investments: New milestones, new deployment options
  12. From fake interviews to malicious repositories: Disrupting Contagious Interview
  13. Don’t outsource the spark: how to balance human thinking and AI
  14. How Atlassian built a scalable synthetic data engine
  15. How Content Technology is powering Atlassian’s AI quality
  16. New in Rovo Chat: Where context shapes your work
  17. Giving AI agents design system context from the terminal: what we learned building a CLI
  18. Meet Teamoji: Atlassian’s Custom Emoji System Built for the Future of Work
  19. Autonomous testing with Jira and BearQ
  20. Find code faster: Introducing our new & improved search experience
  21. From plan to presentation in minutes: How Gamma brings your Atlassian work to life
  22. A simpler way to run AI agents in Bitbucket Pipelines
  23. We’re bringing governed agent loops to the AI-Native SDLC
  24. AI made you faster. It didn’t make you better.
  25. Monitor test health at a glance in Bitbucket Tests
  26. The Agentic Pivot: Why the work around code matters more than ever
  27. Atlassian’s usage-based pricing: AI value with predictability and control
  28. Want more confidence in AI? Give it more context.

August 2026

  1. How we made vulnerability fixes review-ready with Agentic Pipelines
  2. Agentic automation in practice: putting standard engineering work on autopilot
  3. Put your conversations to work with the Teamwork Graph connector for Microsoft Teams
  4. How one leader rebuilt his feedback loop with an AI agent
  5. Opening the door to agent autonomy: The architecture behind Rovo’s agent harness
  6. From prototype to production: lessons learned taking AI-built software to enterprise scale
  7. Atlassian Rovo + Microsoft 365: Turn conversations into completed work, tracked in Jira
  8. AI polish makes it harder to spot problems. But there’s a quick fix.
  9. Jira goes where spreadsheets can’t
  10. When is AI useful, or just a habit? A Play/Pause break helps teams decide.
  11. From internal tool to Marketplace: How ScriptFabric built on Forge
  12. Building your AI work factory
  13. Introducing Jira Planner
  14. Connect Salesforce to the Teamwork Graph to unlock customer context for your teams and agents
  15. Your next presentation is already in Confluence
  16. Don’t Build AI Governance From Scratch. Just Turn It On.
  17. Introducing the AI context engine for your entire codebase
  18. 3 AI bets powering Atlassian’s integrated marketing impact
  19. You don’t need a team of AI experts. You just need one.
  20. Introducing the redesigned deployments experience
  21. Agents are in Confluence (and wherever you need them to be)
  22. What High-Throughput Engineers do Differently and Why AI Widens the Gap
  23. Why better tickets help agents write better code
  24. Building a real-time PWA on Atlassian’s own stack
  25. Our Q4 FY26 letter to shareholders
  26. How to Speed Up Connect to Forge Migration With AI
  27. Introducing Jira as the System of Record for OpenAI Symphony
  28. Scaling localization at Atlassian: keeping translation at the pace of AI-era development
  29. Jira’s Summer 2026 Release: Smarter Agents, Rebuilt Views, and a Faster Foundation
  30. How Atlassian Williams F1 Team uses Assets to drive performance
  31. Coding at the speed of thought: how I talk to Rovo Dev from Slack
  32. More ways to Build on Forge: Container Services is Now in Preview
  33. How We Used Agentic Pipelines to Swarm Documentation
  34. The tech we love to hate is the tech we’d hate to lose
  35. Rovo Search: Why Rovo is a Leading Enterprise AI Search Tool
  36. Getting Ready for Connect End of Support
  37. Everyone agrees on the priorities. Almost no one can see the money and the work behind them.

July 2026

  1. Turn knowledge in Google Drive and Microsoft SharePoint into connected context
  2. The Board Should Work For You
  3. Budget Allocation at Scale: Building an ML Optimization System for Paid Marketing
  4. Shattering the service quo starts with context
  5. Forge LLMs API is now GA: Here’s how you can build AI-native apps on Atlassian
  6. From prompts to orchestration: Scale AI coding agent impact with Jira Automation
  7. The Events Rail: Inside Atlassian’s Webhook Delivery Platform
  8. Scaling StreamHub: Transitioning from Kinesis to Kafka for 145 Billion Daily Events
  9. Meet the new Rovo Chat: One prompt, multiple steps, zero hand-holding
  10. Online index migration and shard-scaling in OpenSearch with AOSC
  11. Inside AI Builders Week: How teams work in the AI era
  12. Bitbucket Tests now supports tracking tests from multiple branches
  13. Stop stitching together HR tools. Start Connecting Them.
  14. Give AI agents the full picture with Loom video prompts
  15. Connect Trello to Your Favorite AI Assistants with Trello MCP
  16. Share packages across your workspace with internal packages
  17. “You Should Be A Little Uncomfortable”: How Cursor Is Navigating the New Shape of Product Craft
  18. Custom deployment permissions for your environments (Beta)
  19. The future of Jira isn’t just tracking work. It’s delegating it.
  20. Bring GitHub context into Rovo with the Teamwork Graph connector for GitHub
  21. Two years in: how Atlassian for Startups grew from an experiment into a global program — and why it matters more than ever
  22. How we’re evolving Jira for AI-native software development
  23. How Axel Springer is using Rovo Dev to help engineering teams focus on higher-value work
  24. How to automate product workflows with AI-powered video: A product manager’s guide
  25. Why AI alone isn’t enough for enterprises (and what Mercedes-Benz did about it)
  26. From tool to teammate: How one Atlassian team made AI a real coworker
  27. Every agent. Every state. Full visibility in Jira.
  28. AI that knows your business
  29. Why individual AI speed isn’t delivering the ROI CIOs expected
  30. New research reveals how AI is making jobs bigger
  31. Fix flaky tests with AI, and track future test work in Jira
  32. AI made your people faster. But it’s your office that’s slowing them down.
  33. Secure AI adoption with data loss prevention (DLP)
  34. What 5M+ daily MCP tool calls taught us about the future of AI at work
  35. Introducing new MCP capabilities that turn context into action

June 2026

  1. Fix Bugs Faster with Atlassian Rovo MCP
  2. Unlocking efficiency with Merge Queues in Bitbucket Cloud now GA
  3. How Atlassian and Dropbox are driving effective AI transformation
  4. Bamboo to Bitbucket Pipelines migration tool is now GA
  5. How We Brought Enterprise-Managed Authorization to Rovo MCP with XAA and ID-JAG
  6. Accelerating government modernization with AWS

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