@GeorgeIKhader · X

othmanosx · HN

I still don't like the fact that AI is adding more stuff for us to read, it's accelerating the code production but slowing down the code review. I built my own code reviewer as well ( https://pyor.review/ ), surfacing the important stuff first is the right track, but adding more stuff to read is daunting, but asking AI to just point you to what you need to focus on and skim the noise is what I'm leaning more towards.

@itskalenai · X

stop writing bad prompts. #ai #claudecode #vibecoding

@muazmaki · X

Just luanching it

Qwen Image Edit — AI 图像编辑工具，支持文本指令编辑、照片修复、去水印、专业头像生成和多图像处理

@Jasoliyaharsh1 · X

@Sakthi_in · X

- Ship AI written code confidently. Catch drift before it compounds.

@qt_nest · X

shreyans_assistiv · Product Hunt

AskCodi Orchestrate agents at scale while reducing cost

videlov · HN

I was interested in answering this question so I built a benchmark comparing git, jj and gitbutler in agentic context https://vcbench.dev/ Disclaimer - I am a co-founder of GitButler

@atenyun · X

Hi everyone! If you're getting into vibe coding and have questions about LSPs or need a hand with reviewing your smart contract, feel free to post on Hup. We're here to help you out! Creator: 0x20e229667Cec8A0e9D3C6Fb89693B2a44ec2C50e via @hupsocial

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