
Jungle
与AI代理聊天自动分类开发工作。
@suhaaspk · X
Hi! building Jungle ( Its a way for small teams to automatically triage bugs and feature requests to keep development moving while they sleep
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与AI代理聊天自动分类开发工作。
@suhaaspk · X
Hi! building Jungle ( Its a way for small teams to automatically triage bugs and feature requests to keep development moving while they sleep

对功能建议投票并查看产品路线图。
u/kaneki0dd · Reddit
Built SignalBoard a $15/mo Canny alternative for feature voting & roadmaps Been building this because Canny charges $79/mo for something that should be simple: let users vote on features, show a public roadmap, ship a changelog. https://preview.redd.it/h2x588h0n8dh1.png?width=1200&format=png&auto=webp&s=c5a4e15c59008ee67b495b7c35e1350d314e257b What it does: Feature voting — verify once, vote with one click after that AI duplicate detection — catches near-identical

Add a bug report widget in 30 seconds. It captures errors, user journeys and failed API calls — then AI analyzes your code and opens a pull request with the fix.
@syedarhamalii · X

向应用添加小部件,自动捕获用户报告错误时的截图、控制台日志和网络错误。
@markoradotme · X

Collect feedback, bugs, and feature requests in one inbox, tied to the people who sent them.
@nicorask1 · X
Hey Raj, lets connect! I am building a tool that helps saas owners collect feedback from their users and more.

Collect bug reports with full device context, plus feature requests, from inside your app. Publish release notes in the same place. Built for indie Expo and React Native developers
@henrypl_dev · X

Novix 从代码问题自动生成并测试拉取请求,集成您的构建工具。
@jakemoshel · X
Turn issues into sandbox tested PR’s from your current stack

录制应用内录像和截图,用AI整理反馈以快速修复bug。
@keshav__dev · X
Hi priyanka i am also building in customer feedback space but with some dev related features. Maybe you want to check

由AI驱动的代码审查工具,在microVM中运行代码来捕获更多错误。
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db

AppTruth AI — 通过AI验证发现应用中的隐藏漏洞
@uriel_bitton · X
As you add more features to your vibe coded app, you increase the chances for bad behaviour. The worst part is you dont know they exist Every beta user i've had try out the app told me they found a few issues they had no idea existed Find yours using

One script tag puts a review layer inside your running app. Your team clicks what is wrong; your developers get the source file and line, the route, and a repro that exports as a P
@_Zidl · X

通过应用商店投诉发现未开发的产品机会
@MihkelSylla · X
Working on and few other smaller projects for myself