@imjawith · X

@Ex3NDR · X

Few days ago Happy had a birthday. Tried to refresh one of the most neglected part of it: our Happy Website: also i built a new harness called “rig”. i started to use at work recently instead of codex/claude code and i liked how it does work. i want to share this with everyone. it is a codex and cause code reimplemented using Pi, but keeping native prompts and expanded a little for uniformity (like added workflows to codex yay!). when something new released that is worthy of porting - i ask Sol to mim for prompts or read sources directly and i can have a feature within an hour. why this is needed? i was constantly blocked by the needing of integrating a lot of models together, which each has their own harness or many doesn’t have any, but i didn’t want to go too far from native and don’t like the idea of extensions - i want experience to be the same everywhere. i think configuration > extensions. more soon

@saikiran29_x · X

- Vibe coded.. Hey there..! finally the website & app are live.. It was all about learning deployment, project structure, techstack.. tbh vibe coding is somepart of game but shaping the project is the end goal. link:

@AshiveCompany · X

not_wowinter13 · HN

Unified workspace where AI knows your business

@gavinelliott · X

Finding that some people cared about but not enough to make it viable, maybe

@TimothyMohney26 · X

Check out what I just built with Lovable!

u/OGMYT · Reddit

Validating a micro-SaaS for checking AI-built software before it ships I am building **Flows**, a system that turns an AI software goal into ordered implementation steps, checks, repair prompts, and a build report. The business thesis is not “better prompts.” It is reducing the cost of getting from an AI-generated first draft to a checked, shippable result. Metrics I want to measure: - prompts per completed project - tokens or credits per checked step - first-pass check rate - repair atte

@iamdebiddo · X

@bvs1006 · X

I have built See what your AI actually costs — then cap it before the call Two ways in, no account. Scan local coding-agent logs, or put a local proxy in front of your APIs. Prompt bodies go to your provider — never to BurnLens Cloud.

Autumn-27 · GitHub

ARTEX AI 自主渗透测试系统

@computer_agents · X