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]