
Idle9 — Persistent dev environments for AI coding
Linux workspace for AI coding tools that persists files, dependencies and services across sessions.
@SeagerCortez · X
The full gallery
Tech stack
88 projects

Linux workspace for AI coding tools that persists files, dependencies and services across sessions.
@SeagerCortez · X

Inspect AI reasoning traces and evaluate model groundedness in your AI systems.
malik_dixon1 · Product Hunt
TraceLogicAI: AI Architecture Evaluation Compare AI architectures with evidence, not guesswork

Directory of tested AI prompts for building app components like auth, payments, and analytics.
@mannam_11 · X

Build and preview AI apps with real backends and model choice.
@SanikaSurse · X

Compare and evaluate AI models across coding, reasoning, agents, and other benchmarks.
davidtsong · HN
Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities

Discover, purchase, and integrate AI agent capabilities via API.
b_radford · HN
Fund an agent once – prepaid USDC key for HTTP 402 tools (Solana)

Access 207+ AI models from different providers through a single unified API.
TaylorM492 · HN
InferAll – One API for OpenAI, Anthropic, Google, Nvidia Nim

Runtime that makes AI-built local tools instantly shareable and callable by your team.
kstedev · HN
Toolchestrator – make local, AI-built tools usable by your team

Create AI assistants for technical documentation that respond to user questions instantly.
@emilsnotes · X
Our customers using Claude Code move faster than we can ship features. So we stopped fighting it and leaned in. Here's why it's paying off: 👇️ Some context: powers AI agents that answer millions of technical questions per month. Those conversations are a goldmine - they tell you exactly what users struggle with and where your docs fall short. We've built a lot of analytics on top of this (Coverage Gaps, Top Questions, and more), and teams love them. But here's the honest truth: no dashboard covers every edge case for every company. Meanwhile, our sharpest customers were already exporting kapa data and throwing their coding agents at it in ways we never designed for. So instead of chasing every workflow with a UI, we took the best practices we've seen actually work and packaged them as Kapa Skills - installable in Claude Code, Cursor, or Codex: 1/ Analyze Coverage Gaps: your agent works through the topics kapa couldn't answer and writes the missing content straig

Access multiple AI language models through a unified API interface.
u/DanTahirCode · Reddit
I built an open source coding agent with a personality - meet Klenny Code 🐾 Hey r/SideProject, my name is Dan Tahir, and I'm here to show off something I'm really proud of: Klenny Code, the open source coding agent with personality. A fully capable coding agent with memory and cross-project referencing, plus an assistant who can read your email, run scheduled tasks, pilot your browser, and be your corgi pal. Here's the pitch: bring your own OpenRouter API key, and Klenny wil

AI tool that recommends optimal tech stacks for SaaS projects based on budget and team size.
@appstackbuilder · X
Less time searching. More time building. That's the goal behind App Stack Builder. 🌐 #Startup #BuildInPublic #SaaS

AI platform that researches, plans, builds, and ships applications from idea descriptions.
@infineray · X