Developer Tools1 month ago · 3 tries
Lucid — Read the machine's mind
See the concepts a language model holds at each layer before it answers.
ada1981 · HN
I built a web tool to see and edit what an AI thinks before it answers
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33 projects
See the concepts a language model holds at each layer before it answers.
ada1981 · HN
I built a web tool to see and edit what an AI thinks before it answers
Free online IDE with 15+ language support, cloud workspaces, and coding interview tools.
aashhuttossh · HN
Codeground – run and share code in the browser
Write and run Wado programs in your browser using a client-side compiler and language server.
gfx · HN
Building a Rust-ish programming language with 100% coding agents: Wado
Use 47 pay-per-use APIs for OCR, translation, image generation, and LLM chat.
13639366668 · HN
Pay-per-call MCP server with 47 AI endpoints, micropayments via x402
Write software functional specifications designed to work for both humans and AI.
@spec_tacul_ar · X
Specifications for humans and AI.
Open-source ecosystem for discovering, evaluating, and publishing AI tools with a sandboxed testing framework.
@BobbySBX · X
We just dropped Assay v0.2.6, the open source evaluation engine powering Most registries judge an AI tool by its README. We built Assay to actually run skills, MCP servers, and plugins inside isolated sandboxes with live models to observe what they do before you install them. What is new in v0.2.6: - NVIDIA API Catalog provider: Native support is here, allowing you to use NVIDIA driver and judge models to run behavioral benchmarks and multi-tier audits. - Zero runtime dependencies: Still a self-contained ~240 KB tarball that speaks directly to @nvidia , @AnthropicAI , @OpenAI , @OpenRouter , and local HTTP endpoints without SDK bloat. - Adversarial and static checks: Out of the box verification against prompt injection, tool scope creep, destructive shell commands, and supply chain drift. Every tool on is tested through Assay. That means 4,200+ skills, MCP servers, and plugins are commit-pinned, graded on actual runtime behavior, and rea
A daily automated sweep of AI, robotics and smart-hardware repositories on GitHub, scored for reproducibility and shipped with clone commands, setup steps and download links.
@shawkalent · X
我开发了两个平台，一个是开源平台：
Automatically review GitLab pull requests using AI models like DeepSeek and OpenAI.
AI Codereview for Gitlab — 基于大模型(DeepSeek,OpenAI等)的 GitLab 自动代码审查工具；支持钉钉/企业微信/飞书推送消息和生成日报；支持Docker部署；可视化 Dashboard - [查看仓库](https://github.com/sunmh207/AI-Codereview-Gitlab)
Generate code documentation automatically on GitHub pull requests.
Aldasams · HN
Show HN: DocFlow – AI documentation updates for GitHub pull requests
Desktop-first open-source productivity system with Pomodoro tracking, habit building, and AI reflection.
@Shourya60756648 · X
Let's connect, checkout
Run AI models in users' browsers with one script tag, no server or API key needed.
@erdemwrites · X
AI-generated documentation wikis for open-source projects, each claim backed by code.
u/Comprehensive-Bad-43 · Reddit
I got tired of documentation that lies, so I made docs that have to prove every sentence Founder here! Every codebase I have ever joined had the same problem: the docs describe the code as it was six months ago. Nobody updates them, because updating docs is the least rewarding job in software. So I built RepoFold . You connect a GitHub repo and it generates a full wiki, but with one hard rule: every technical claim has to cite the exact file and line numbers it came from. If the AI can'