Developers and AI Enemy or Frenemy Leveraging AI and Atlassian to empower developers
summary
Claims a concrete productivity lift—AI coding assistants raise merge acceptance ~25–30% and save a few hours weekly—backed by experiments: an A/B test on a Jira mobile feature (green flow) and automated Bitbucket pull requests that flag security, bugs and code smells. Demonstrations include AI code review assistant, an AI standup agent that summarizes work, Loom for async peer feedback, Jira team analyzer pulling teams into Slack, accessibility scans (over 2,000 issues yearly) and an issue to code plan to code to pull request end‑to‑end workflow.
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chapters (11)
- 0:00AI and developers
- 1:16AI impact on engineering
- 3:26Developer challenges and leadership
- 5:12AI coding assistants limits
- 7:41AI transforming code maintenance
- 10:53AI standups and team motivation
- 14:00AI sprints and daily deployments
- 16:28AI peer feedback and customer insights
- 19:14AI retrospectives and distributed teams
- 21:20AI in cross-functional teams and QA
- 23:29Future of AI in development
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