I’m curious how teams are adapting AI coding tools like GitHub Copilot or Cody in daily workflows.
We found them super fast individually — but at the team level, issues popped up:
- Code quality and architecture drifting
- Security risks from AI-added dependencies
- Misaligned features vs. Jira tickets
- Difficult code reviews from AI output
How are you managing these as a team? Do you review AI code differently? Do you have process checks in place?
Would love to hear your experience.
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