Are Your Engineering Teams Really Prepared for the GenAI Revolution?!
summary
GenAI already generates a surprising share of incoming changes—13–14% of PRs created by bots and 3x growth in two years—while tools like dependabot/renovate and copilots (Copilot, CodeRabbit, Linerb examples) shift work earlier in the pipeline. Concrete fixes shown: dashboards that reveal copilot-assisted PRs wait longer for review, Slack inline approvals and an auto-merge YAML for patch updates that safely cuts exposure time and lets humans focus on risky, high‑value reviews.
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chapters (15)
- 0:00GenAI revolution in software delivery
- 1:14Three key topics
- 3:01AI adoption in pipelines
- 5:30Bots creating pull requests
- 8:41AI maturity levels in SDLC
- 11:54Pipelines won't survive GenAI
- 15:53Reactions to GenAI disruption
- 19:50Superpowers for GenAI future
- 20:12Visibility for GenAI prep
- 24:27Flexible delivery processes
- 27:36Automation opportunities
- 31:27Automating dev workflows
- 39:58AI code review automation
- 40:41Summary for engineering teams
- 42:05Q&A
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