Post-Launch Iteration
Monitor user feedback and analytics. Use AI to analyze data and prioritize improvements. Iterate based on real user needs to build something people actually want.
Insights:
- Cursor-Small is fast for small bugfixes post-launch.
- GPT-5 → analyze logs, circular bugs, propose systemic fixes.
- Claude-Sonnet-4 → refactor and harden production code.
- Task size still matters: make iterations just large enough to review.
Actions:
- Feed logs + file contents to AI for bug analysis.
- Run string searches for duplicate functions, untranslated strings, repeated code.
- Create next roadmap based on user feedback.
AI Coach
post launch iteration Phase