开发者工具3 weeks ago
Armature · Product analytics for agent sessions
分析AI智能体会话以理解用户行为和调试问题
screm · HN
Product analytics (and evals) for agent sessions on your MCP
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分析AI智能体会话以理解用户行为和调试问题
screm · HN
Product analytics (and evals) for agent sessions on your MCP
CanaryHub 实时监控应用和 API，故障时通过 Telegram 即时警报。
u/AgitatedLemon6836 · Reddit
I've got too many sites to monitor at this point I have been working on a bunch of different SAAS ideas at this point, some of them are just parked right now as I have decided to market others or have lost passion for the project. Its hard to check logs in a unified fashion for a bunch of different sites, I have backend's on Fly io, Heroku, Vercel, Hetzner and AWS (for varying reasons, some consulting, some work etc). just wanted like text message updates for things with a summary, like "3
PixelPush.in compares your design against your live site, pixel by pixel — then tells you which differences are bugs and which are just noise.
@j3rah_ · X
Built — a pixel-diff visual QA tool for devs and agencies shipping client sites. Compares your design mockups to your live site and gives you an AI verdict on what's off, so you catch visual drift before your clients do.
收集产品反馈并附带截图、音频和会话回放，便于团队分类和追踪。
u/Zealousideal_North83 · Reddit
Fidibeki — Product feedback that finishes the job Building products is what drives me. While working on my own products, I noticed the same problem: feedback comes in, loses context, and users rarely hear what happened next. So I built Fidibeki. Users can report issues directly inside a product with screenshots, audio, or session replay. I can triage everything in one inbox, merge duplicates, track progress, and keep reporters updated. Privacy is built in: session replay
从实时仪表板监控和调查多智能体系统中的故障。
leylal0016 · HN
AgentPulse detects and investigates failures in multi-agent systems
ARGUS：为AI代理流程的可观测性平台，检测故障并解释根本原因。
@VaraadDurgaay · X
Solving the prb of observability in ai agents
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
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.
上传Android APK或iOS应用，自动测试流程并生成缺陷报告。
@aiqatester · X
在无头浏览器中扫描网站以检测损坏的图片、控制台错误和布局问题，并获得即时AI修复建议。
u/Exciting_Pineapple52 · Reddit
I built a Playwright monitor after CI passed but the live UI was broken, would this be useful? AI-assisted development has made it much easier for me to ship changes quickly. The downside: I’ve seen CI pass while the live page still had issues that customers would notice first broken-images, console errors, layout shifts, and overflowing text. The lesson for me was that tests and logs are necessary, but they don’t always show what a real visitor sees after deployment. So I built Lampwatch
DevTet为网络代理商提供网站监控与维护报告，涵盖正常运行时间、SSL及SEO监控。
@devtet_mon · X
Building DevTet — monitoring + maintenance reports for web agencies. It helps agencies prove the value of website maintenance with uptime, SSL/domain, ping, key monitoring, WordPress maintenance log, WP plugin, Client groups and branded client reports.
SlopStopper - 扫描应用的生产就绪问题，如安全性、功能性和可靠性。
u/jjd921 · Reddit
Production readiness checker With AI coding and the low barrier to entry now I see a ton of people publishing apps with serious issues. I tried to build something to help with this. It’s a tool that checks apps for production-readiness issues (security, functionality, reliability, accessibility, etc.) and creates a GitHub PR with the fixes. Automatic scans on every push/PR and deterministic auto-fixes are completely free. Do you see something like this being useful?: https://theslopstopper.c