
Kalytera — Find where your agent fails
检查和调试 AI 智能体,逐步识别它们的失败位置。
mathurpriya19 · HN
Kalytera – Find out why your AI agent failed, step-by-step
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检查和调试 AI 智能体,逐步识别它们的失败位置。
mathurpriya19 · HN
Kalytera – Find out why your AI agent failed, step-by-step

让AI模型通过3D动画展现香蕉植物的完整生命周期来比较性能。
fran-mora · HN
I gave 5 AI coding agents one prompt: grow a banana plant through its whole life in three.js: sprout, leaves, flower, fruit, rot, then pups that restart the loop. It's deceptively simple and yet very hard to get right from procedural code: you have to write working three.js and understand how the plant is actually built; how it hangs, ages and decays. Get the biology wrong and the code renders something weird. These are agents, not bare models (Claude Code and Codex for now). They can use tools, including playwright to check their work and improve it.

用生产追踪镜像来测试AI代理,捕捉错误和性能回归。
aisinghal

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

110多个免费开发工具无需上传、服务器或注册,在浏览器中完全运行。
@abhilakshharora · X
Just launched DevTab on Product Hunt 🚀 110+ dev tools that run 100% in your browser. Zero server calls. No signup. Free forever. Would love your support 🙏 → #buildinpublic #DevTools

通过交互式代码审查和系统设计题目提升技术评估能力。
u/Most-Football-4401 · Reddit
AI is writing more and more of our code. I think that means we need to get much better at reviewing it. We have a lot of tools to practice coding (LeetCode, HackerRank, Codewars, and so on). But I see very little on practising reviewing code, especially code written by AI . I am aware industry is running to build tools for AI review AI written code (the fox guarding the henhouse). But I believe it is just a matter of time before regulators start slapping hands for doing so in regulated indus

PRcade 通过团队排行榜和分析可视化GitHub代码审查性能
u/SnooStrawberries827 · Reddit
my team had 47 open PRs and nobody was reviewing them, so I gamified it our team hit 47 open PRs at one point last month and nobody was reviewing them. tried slack reminders, deadlines, rotating reviewers, none of it really stuck. might be related to the fact that everyone's hyped about how fast AI can write code now, copilot cranking out entire features in hours, but none of that matters if the PR just sits there for a week. feels like writing code stopped being the bottleneck a while back

为开发者设计的笔记应用,支持代码块、看板管理和GitHub导入。
@SinghApurv1711 · X
Hey! Check it out here:

Stepflo 连接 GitHub 代码库,自动检测用户流并生成可视化地图。
u/freestyle_gonzo · Reddit
Vibe coding made building fast. It didn't make understanding easy. Something changed in the last year. Vibe coding (or agentic engineering if you ask some) made writing an app fast. Week-to-weekend fast. More people are building software than ever before, and I think that's a genuinely good thing. But fast building creates a new bottleneck. Writing code is no longer the hard part. Understanding what you built and its nuances is. A huge share of people shipping right now have never analyzed

自主代理测试网络和移动应用,发现流程、发现错误并重放测试场景。
@AbdullahYusufY · X
Here is ours We are developing autonomous QA agents feel free to check it out.

检测LLM API是否被降智或偷换模型,一键跑6项探针得出结果
cocodot LLM 降智检测 — 免费的 LLM API「降智/偷换模型」在线检测:填入任意 OpenAI 兼容端点的 base_url 和临时 API Key,跑 6 项探针(模型声明、动态题、能力完整性等)生成分项报告;Key 仅用于当次检测、不落库不留存,检测方法[开源](https://github.com/cocodot2026/cocodot-llmprobe)

与AI面试官一起练习编程和系统设计面试。
u/redskinnypete · Reddit
I made an AI interviewer for coding and Design interviews I built an AI-powered mock interviewer that simulates a real system design interview. It listens to your approach, asks follow-up questions based on your design, challenges your decisions, and provides detailed feedback on what you did well and where you can improve. I have tried to make it feel like a real interview as much as I could to simulate the pressure and the expectations in an interview. Please give it a try. Hope you wil