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7/5/2026
5 mistakes I made building an AI Chrome extension — and the readers who caught them

5 mistakes I made building an AI Chrome extension — and the readers who caught them

Short summary

Technical retrospective on building PR Focus Pro, an AI-powered Chrome extension for GitHub PR triage. Five production lessons: MV3 service workers require persistent storage to survive restarts, implement aggressive API throttling, fix streaming with line buffers for chunk boundaries, use offscreen documents for long-running tasks, and prioritize deterministic features over AI—users request sorting and notifications, not ML.

  • •MV3 service workers need persistent storage; in-memory state is lost on restart
  • •API throttling prevents dozens of unintended calls when service workers restart frequently
  • •Streaming implementations must buffer incomplete lines across chunk boundaries to avoid token drops

Generated with AI, which can make mistakes.

#ai-tools#product-launch#certification-education
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