Recalibrate - How AI shakes up software team
summary
AI moves from autocomplete to running targeted agents that actually change workflows: Atlassian measures 51 minutes saved per day with simple copilots vs 105 minutes when AI is used as an advisor, GitHub reports ~25–30% acceptance of suggested code, and one team automates experiment cleanup so an agent removes variant code and opens a PR automatically. Teams fix ~2,000 accessibility bugs a year with fixer agents, replace sprint demos with videos (17,000 uploaded, 50% more engagement), and shift roles toward managing agents and validating outputs.
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chapters (15)
- 0:00Intro
- 0:45AI is changing
- 2:38Two lumberjacks
- 11:00AI takes over coding
- 14:57Example
- 17:57Issues in backlog
- 19:24Working with AI
- 20:37Why are we doing standups
- 22:46Standups are a ritual
- 25:18What about sprints
- 28:56Deploying daily
- 33:27Sprint planning
- 35:56Cross functional teams
- 36:35QA engineer and 30 developers
- 39:43Reality check
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