When Agile and AI Collide
summary
Argues that developer co‑pilots like GitHub Copilot 55% and AWS CodeWhisperer 57% reduce human coding and speed feature delivery, cites a bench team that used a co‑pilot and turned a planned two‑week MVP into three weeks while learning the tools, describes real builds of AI summaries in Teams/Notion, recommends automating backlog prioritization, assignment and standup summaries, warns of hallucinations need human checks, and says estimations, documentation and team-wide process changes are the real bottlenecks.
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chapters (11)
- 0:00Introduction to talk
- 1:49What AI tools exist today
- 3:57Benefits of AI in development
- 5:25Impact on development speed
- 7:10AI in agile prioritization
- 8:56Evolution of agile with AI
- 10:19Changing agile values
- 12:04Challenges of AI adoption
- 13:49Resistance to AI tools
- 15:35Future of agile and AI
- 16:37Key takeaways and Q&A
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