Original Summary

AI makes shipping new apps incredibly fast, but fixing customer bugs still requires manual work. You usually have to ask users what they clicked and then translate that into a prompt. I am Bolaji, a solo founder. Conversations with my nontechnical founder friends who build with AI highlighted a recurring theme. Shipping is easy, but maintenance and technical debt are growing problems because agents lack real-browser context. I built AnnotateFix to solve this. It is a widget that lets customers annotate the UI and report bugs or product feedback inside your app. It captures a screenshot, recent actions, console errors, and failed requests with sensitive-data redaction. Your coding agents can then read this exact browser evidence alongside your codebase. The intended workflow uses this data to write a failing Playwright test, create a scoped fix, and generate a reviewable PR. You can try the free, no-signup sandbox at https://annotatefix.com/sandbox which replays recorded test results and a simulated PR review. The full product remains on an early-access waitlist. How do you currently handle the handoff of customer bug reports and frontend context to your AI tools?   submitted by   /u/Groundbreaking_Lab23 [link]   [comments]

  • 情报分类：技术学习与提效
  • 分类依据：内容涉及技术、AI、软件工具或工程实践
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/10/14 05:40:52