@vgavrilovikj · X

@nodeloc_cc · X

🌈 7月，你好，MODELOC上线算力池。 MODELOC自上线以来，已检测2000余次，覆盖600+中转站，为众多AI用户提供的使用参考。 MODELOC近期进行了改版，上线了算力池及市场。 加入算力池 查看帖子： 用 MODELOC 便宜地调各家大模型：一次讲清它的价格体系

@GorodkovVi85373 · X

- load testing made easy even without enginnering team. Faster, cheaper, distributional

lobovkin · HN

testmagic.link – Zero-setup magic link testing for coding agents

@RoverlyAI · X

@RitaCryptoTips · X

built 𝗢𝗹𝗲𝘅, a model context protocol server for the Aleo blockchain. it gives AI assistants like Claude Code, Cursor, VS Code, and Zed first-class access to Aleo’s privacy model. live on both testnet and mainnet. try it out:

@klorityx · X

One workspace for project management, documentation, test management & CRM. Enterprise features without enterprise pricing.

@aryaan_sheth · X

- LLM security for small teams

@paqetnet · X

Building Paqet — DNS, SSL, network & email diagnostics in one place, built to actually be usable. Describe your issue, AI runs the checks and tells you what's wrong + what to do next. Solo-built, free to try, API included 🛠️

u/Apart_Beyond_3463 · Reddit

Got laid off, spent 2 months building a tool instead of sending more applications Got laid off from a QA role about 2 months ago. Instead of firing off more applications, I built the thing I've wanted for years and nobody made. QA Smith AI generates real Cypress or Playwright test frameworks straight from acceptance criteria. Page objects, spec files, API tests, fixtures, all of it, ready to run. It actually scans your site with a real browser first so it's not just guessing a

@FundableHQ · X

We bring multiple functions under the one app Built for modern businesses, Fundable brings treasury, payroll, fund distribution, and seamless offramps into one multi-chain platform, making cross-border financial operations simple across Africa and beyond

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.