
trakrlabs
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
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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

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


Professional WordPress bug fixing, 24/7 monitoring, cloud backups, and encrypted credential storage. Request a fix or choose a maintenance plan.
@BugShieldWP · X
🚀 Helping businesses keep their WordPress websites secure, maintained and running smoothly. Feedback is always welcome!

BugDetectAI helps developers analyze, understand, and fix code bugs faster using AI.
laxmansubedi · HN
BugDetect AI – AI-powered code debugging assistant

Auto-fix production bugs,获得 AI code reviews,每个 PR 都有严重级别评分
@akshay_nocode · X
Not exactly — Sentry captures errors, BugOps acts on them. It reads the Sentry alert, checks recent commits, traces root cause, and opens a fix PR. Think Sentry as the sensor, BugOps as the on-call engineer that never sleeps.

Ten recurring problems usually share one root. The One Fix names it: 3 minutes, one fix.
@yashasvishailly · X
Founders, find the one underlying pattern underlying all that noise

在几分钟内跨设备和浏览器测试应用程序,自动捕获错误。
@vibe_and_go · X

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

提供日常软件实用修复的浏览器工具,首先支持GitHub。
yusveng · HN
Workaround – Unstar GitHub Repos in Bulk

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

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