Synthèse
AI is making it faster to write code. The new bottleneck is understanding the work around the code: what changed, why it changed, who reviewed it, and how it connects to the plan. That context lives across Jira, GitHub, Confluence, and the conversations that happen around them. Teamwork Graph helps bring it together. That connection is powered by the Teamwork Graph connector for GitHub, which helps make eligible GitHub data available in Atlassian experiences through Teamwork Graph. For software
AI is making it faster to write code. The new bottleneck is understanding the work around the code: what changed, why it changed, who reviewed it, and how it connects to the plan. That context lives across Jira, GitHub, Confluence, and the conversations that happen around them. Teamwork Graph helps bring it together. That connection is powered by the Teamwork Graph connector for GitHub, which helps make eligible GitHub data available in Atlassian experiences through Teamwork Graph.
For software teams, GitHub is where implementation takes shape. Pull requests show what changed. Issues capture technical tasks and decisions. Commits and branches show how work moved. Review comments explain the tradeoffs behind the final code.
For engineering leaders and software team leads, that context matters because delivery is not only about writing code. It’s about understanding progress, unblocking review, reducing handoff cost, and keeping the plan connected to your teams’ work.