[For Sale] AI agent team that fixes bugs & ships features end-to-end, with real proof it works — not another code generator

reddit SideProject · 原文链接 ↗ · 40 分

Most AI coding tools just generate a patch and hope it's right. You still have to read the code, run it yourself, and figure out if it actually fixed the bug. I built something different. It's a small team of AI agents that handles a bug or feature request the way a real engineering team would: plan it, build it, test it, prove it works, then ship it. And it produces real proof along the way, not just code. This isn't a totally new idea. Stripe has an internal system called Minions that merges over 1,000 PRs a week this way. Google has Jules, which does something similar in the cloud. T
五维评分
付费意愿35.0需求真实度45.0
个人可落地45.0竞争空间25.0
新鲜度55.0是否过审
AI 分析

痛点:现有 AI 编码工具只生成补丁,开发者仍要自己读代码、跑一遍才知道 bug 是否真的修好,且对没有测试覆盖的代码库基本无能为力。

目标用户:缺少测试覆盖的中小研发团队、独立开发者,以及希望把修 bug/交付功能流程自动化的工程负责人。

证据:Most AI coding tools just generate a patch and hope it's right. You still have to read the code, run it yourself, and figure out if it actually fixed the bug. …… Mine doesn't assume you have a big test suite. Instead, it actually opens a real browser, reproduces the bug to prove it's real, applies the fix, then reproduces the same test again to prove the bug is gone. It takes before/after screenshots as evidence.

变现:按席位/项目的月订阅(SaaS),或按“成功修复并验证的 bug 数”计费;对团队提供私有化部署与 CI 集成增值包。

MVP:两周版:做一个 CLI/CI 插件,输入 bug 描述 + 可访问的预览环境 URL,自动用 Playwright 复现并截图 → 调用 LLM 改代码 → 重跑同一脚本 → 输出 before/after 对比报告和 diff,失败超过 N 次就转人工。先只支持单一技术栈(如 Node/React)。

竞品:OpenHands、Google Jules、Stripe Minions (internal)、Devin、Cursor、GitHub Copilot coding agent

摘要:作者在 r/SideProject 发布(并挂出“For Sale”)一个 AI agent 团队产品,能端到端规划、修复、验证 bug 与功能,核心差异是用真实浏览器复现 bug 并截图作为修复前后证据,因此不依赖项目已有测试覆盖。他自认并非全新点子,点名 Stripe 内部 Minions(每周合并 1000+ PR)、Google Jules 以及免费开源的 OpenHands 为竞品。帖子未给出任何定价、收入或用户付费数据,属于自卖式宣传,需求真实性仅由竞品存在间接支撑。