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Screenshots are just pixels. I built a Mac app that turns a circle on your phone into the exact file and line for your AI agent

I kept doing the same dance: spot a bug on my phone, screenshot it, paste it into Claude Code, explain where it is, and watch it guess the wrong file. Worse, half the bugs happened once and never again. The problem is that a screenshot is just pixels. Your agent has to guess what's behind them. So I built FIXME. You circle the bug on your phone (or the Simulator), say what's wrong, and your agent gets: the exact source file and line of what you circled the full UI

五维评分

付费意愿
45
需求真实度
55
个人可落地
85
竞争空间
45
新鲜度
75

AI 分析

痛点:截图只是像素,AI 编程助手无法从截图定位到具体源文件和行号,开发者只能手动复述 bug 位置,而且偶发 bug 难以复现

目标用户:使用 Claude Code / Codex 等 AI 编程助手的移动端与跨端开发者(iOS、React Native、Expo、Flutter、Android),以独立开发者和小团队为主

证据:I kept doing the same dance: spot a bug on my phone, screenshot it, paste it into Claude Code, explain where it is, and watch it guess the wrong file. Worse, half the bugs happened once and never again. … Tools like Instabug and Jam send a report to a person. FIXME hands your agent structured context over MCP, so Claude Code or Codex goes straight to the code instead of guessing.

变现:开发者工具订阅制:按席位/月收费(如 $10–20/人/月),免费额度为每月 N 次调试会话;面向团队的按设备或项目数分档,可叠加一次性买断的独立开发者版

MVP:2 周 MVP:手机端 Debug-only SDK(圈选 + 语音标注),抓取当前视图树、最近日志与网络请求、最后几秒录屏;做一个 MCP server 把这些上下文转换为「文件:行号 + 高亮元素」结构化 payload,先只支持一个栈(如 React Native 或 iOS 原生)+ Claude Code 接入验证闭环

竞品:Instabug、Jam.dev、Luciq、Sentry Session Replay、Bugfender

摘要:作者发布 Mac 应用 FIXME:在手机上圈出 bug 并语音描述,AI agent 即可获得精确的源文件与行号、UI 树、控制台日志、网络请求和事发前短视频,支持 iOS/RN/Expo/Flutter/Android,手机端仅 Debug 构建。作者强调 Instabug、Jam 是把报告发给「人」,而 FIXME 通过 MCP 把结构化上下文直接喂给 Claude Code/Codex,并特意解决「只出现一次」的偶发 bug。帖中未出现定价、收入或付费用户数据,付费意愿尚未被验证,但同类工具已存在说明该方向有市场基础。