@edgex11lz · X

@manu_jsx · X

Built a coding agent for my repo in under a minute. No prompt engineering. No made-up skill names. Just answered 4 questions and exported to Claude Code.

@preproomai · X

🟢Get ready for #vibecoding and AI #codereview. It is cutting-age & you can't miss: Time to ditch old-school @LeetCode ! #SoftwareEngineering #TechInterviews #CodingSkills #TechCareers #PrepRoom #TechCareers #SystemDesign #ITJobs #CareerGrowth

Antihero5759 · HN

I built a rubber duck chat that you can use through the browser but it's also OpenAI api compatible so you can plugin it in and use it through your favorite ai app. https://bearjcc-quack-language-model.hf.space/

u/george_owen123 · Reddit

What I learned building an AI chatbot: the ecom tools are everywhere, but service businesses are completely underserved Spent the last few months building Chirpy, an AI receptionist for websites, with my co-founder. The biggest thing I've learned is a positioning one, and I think it applies well beyond my niche. When we started, we assumed we'd compete in the ecommerce chatbot space, because that's where all the money and attention is. But it's extremely saturated. Gorgias, Tidio, Intercom,

Haven — vibe coding 部署平台，上传 ZIP 或连接 GitHub/Gitee，AI 梳理需求并补齐支付、多用户、日志安全、运维等环节，一天内交付可对外服务的产品

@ankushKun_ · X

Hi, we're building @use_construct , an autonomous cloud comouter that works for your business.

@annalea_l · X

JUWEL OS. The WORLDS first Native Agentic Kernel and verifing system.

@suhaaspk · X

Hi! building Jungle ( Its a way for small teams to automatically triage bugs and feature requests to keep development moving while they sleep

@Shekar77hima · X

run deepresearch, coding agents for free.

jayaprabhakar · HN

I've been building an open source formal methods system (fizzbee.io) for the past few years. Today I'm launching a new app built on the same technology. It performs requirements engineering using formal verification to uncover gaps and produce precise instructions for your coding agents to follow. When given a prompt, it - asks high signal follow-up questions - converts to formal spec and identifies complex requirements gaps - generates validation scenario At the end, it produces a specification document that can be shared with coding agents. In my trials on various projects, it produces working code in fewer iterations. Please give it a try and share your feedback. https://fizzbee.ai/ You can also look at a sample project. https://fizzbee.ai/projects/94bf2869-97a1-445c-8f5d-4445848b...

@Raullen · X

6 months ago, @qevan and I hit a stupid wall: just trying to share a local file or some logs with an AI agent was incredibly frustrating. So, we built the first version of —a dead-simple, secure way to pass context to AI. The community feedback was amazing. We got ~200 stars on GitHub, and it quickly became a daily driver for a lot of developers. But recently, we realized the game has changed. Our workflows evolved. It’s no longer just humans sending files to agents. Agents need to write back to humans. Agents need to hand off context to other agents. The whole team—human and AI—needs to collaborate. So, we gave vnsh a massive upgrade. Today, it’s no longer just a secure clipboard. It’s now a living workspace. 🚀 You drop your context in once and get a dynamic link. Claude Code, Cursor, Cline, and your human teammates all open the exact same document. When one agent updates it, your whole stack sees it instantly. Complete context handoff, without ever copy-pastin