Development
How we used Agentic Pipelines to turn test coverage into a daily habit
Engineers write tests for the logic that worries them and let the small details slide. One of our commerce engineering teams now has a scheduled agent that finds the thinly tested files, writes the missing tests, and opens a pull request for review. Nobody decides to skip a unit test. The core logic gets covered, […]
AI is making developers faster. It’s also exposing what’s broken in software delivery
Atlassian’s 2026 State of Developer Experience report reveals a disconnect between AI adoption, developer productivity and organisational performance. An engineering leader recently asked me how AI could help their team work more effectively, to keep up with a rapidly growing workload. It turned out the problem was upstream teams creating significantly more output with the […]
How we accelerated code review in a large monorepo using Agentic Pipelines
Last quarter, our AI reviewer told a developer who was fixing a CSS bug to rethink how their component fetched data. The comment was well written and confidently worded. It was also about code they hadn’t touched. That’s what tends to happen when you hand an agent every team’s review guidelines at once. You get […]
How we automated feature-flag cleanup with Agentic Pipelines
The hard part of a feature flag is rarely adding it. It is remembering to remove it months later, when the rollout is over, the original context has faded, and there is always a more urgent piece of work waiting. Since April 2026, one Atlassian team has used Agentic Pipelines to clean up their monthly […]
How we made vulnerability fixes review-ready with Agentic Pipelines
Routine vulnerability fixes are rarely difficult in isolation. The interruption that they cause is the problem: pick up the ticket, trace the dependency, update the package or image, regenerate files, run the checks, open the pull request, then return after deployment to close the loop. That repeated handoff was a good candidate for automation with […]
Agentic automation in practice: putting standard engineering work on autopilot
Standard engineering work is predictable enough to automate. Here’s how we put security vulnerability remediation on autopilot, and what it means for everything else.
Lessons learned taking AI-built software to enterprise scale
A weekend prototype to a production system in 5 months, at 5x the output.
Atlassian Rovo + Microsoft 365: Turn conversations into completed work, tracked in Jira
Search your full context, trigger @Jira actions, and delegate work to AI agents in Copilot and Teams. Decisions get debated in Teams, documented in Confluence, and tracked in Jira. When these tools operate in silos, context gets lost in chat threads and AI agents lack critical context including existing backlogs, dependencies, and project history. Atlassian […]
Jira goes where spreadsheets can’t
New features – capacity planning, project budgeting, custom reporting, and more – all in one place, connected to the work and ready for AI to act on. Every team plans – who has capacity, what things cost, whether the work is on track. But your capacity plan, budget, status updates, and tasks all live in […]
From internal tool to Marketplace: How ScriptFabric built on Forge
TL;DR ScriptFabric started with a problem its own team needed to solve: making Jira scripting more accessible with Javascript instead of relying on specialized Groovy expertise. The team chose Forge for its managed platform and modern development model, learned the platform by building and shipping, and eventually turned an internal solution into a Marketplace app. […]
What high-throughput engineers do differently and why AI widens the gap
We interviewed 15 high-throughput Atlassian engineers. The most interesting finding: AI didn’t make their fundamentals obsolete – it accelerated them significantly.
Why better tickets help agents write better code
A small team built a production-grade compensation app with AI agents. Per engineer, we shipped 5x more code and wrote 5x more Jira tickets, and the tickets scored far higher on quality.
How to Speed Up Connect to Forge Migration With AI
This is a guest post by Move Work Forward, an Atlassian Marketplace Partner. We recently moved five of our Atlassian Marketplace apps from Connect to Forge in two months. If you want the full migration story, you can read it in our other blog post here. This post is about one piece of it: how […]
Jira’s Summer 2026 Release: Smarter Agents, Rebuilt Views, and a Faster Foundation
Over the last six months, we’ve been evolving Jira for AI-native work – building the infrastructure for agents to act on work, shipping new MCP capabilities so coding agents can take more actions in Jira, and making Teamwork Graph CLI generally available to ensure agents have the enterprise-scale context they need to work effectively. Today, […]
Coding at the speed of thought: how I talk to Rovo Dev from Slack
I built a ~300-line Python bridge so I can chat with Rovo Dev directly from Slack – no terminal, no context switching, just AI-assisted coding wherever I already am. The Setup: From Terminal to Slack I spend a lot of time in Slack. My terminal? Less so. So I asked myself – what if I […]