📦 tool-bunker/code-buster

Code Buster: Your Code's GPS

Code Buster tells an A I coding agent exactly where its changes broke the rules, all without sending your code to the cloud. It acts as a local guardrail that maps every dependency and logic cycle in your project before the agent writes a single line. Instead of guessing, it gives the machine a deterministic map of dead code and architecture violations, so it can fix errors while it still has context. It’s like giving a new intern the entire building’s blueprints before they start moving furniture. No more hallucinated imports. Just grounded, offline verification that keeps your AI honest and your codebase clean.

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📦 igtoth/tracedraw

TraceDraw: The Vector Editor Rebuilt in Rust

TraceDraw is the open-source vector editor that finally brings full-featured illustration to your browser and desktop without bloat. This project is a clean-room rewrite of a classic drawing suite, built entirely in Rust to run natively on Windows, macOS, Linux, and even in your web browser via WebAssembly. It solves the problem of heavy, proprietary software by offering a lightweight, native experience that still handles complex tasks like live effects, page layout, and print-ready PDFs. The most surprising part is that it natively opens and writes Corel Draw files, meaning you can swap between old projects and this new tool without losing your work.

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📦 vsmutok/ytscrape

ytscrape

ytscrape lets you pull raw data from YouTube without the usual hurdles. It skips the need for an official API key and avoids the slow, clunky process of running a fake browser in the background. Instead, it talks directly to the same internal data routes that the website itself uses. This means you can grab search results, video details, and even the full text of every comment and caption in seconds. It is a clean, lightweight way to collect information for research or building tools, giving you actual data without the heavy setup or constant worry about hitting usage limits.

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📦 hao-ai-lab/ora

ORA: Letting Open Models Drive Robots

An open-weight language model just picked up a robot arm and started solving physical puzzles without a single line of robot-specific training code. This project, called ORA, acts as a bridge that lets standard AI models operate physical robots on the fly. Instead of needing expensive, custom-trained programs for every new task, the system simply gives the model tools to see the world and move its limbs. It then figures out how to stack blocks or pour liquid entirely on its own. This is huge because it proves that general intelligence can handle real-world physical actions without years of specialized data collection.

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📦 alibaba/last-secure-code-benchmark

Do AI Coders Break Security?

Watch top AI coding agents fail to write safe code when left alone. The Last Secure Code Benchmark tests if these models can rebuild a project without accidentally leaving a hole in the door. Here is the wild part. Even the best models only pass every single security check on a quarter of the tasks. This happens because the tests never tell the agent to think about safety. They just ask for working code, then secretly try to hack the result. It turns out that building something that runs correctly is not the same as building it safely.

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📦 dmitryryabkov/local-ai-mac

Run a 128K AI on a MacBook

Turn a spare Mac into a private AI server that handles massive context windows without ever sending your data to the cloud. Local AI Mac is a practical guide that shows you exactly how to squeeze real power out of Apple’s unified memory. The coolest part? You can run a thirty billion parameter model with the same one hundred twenty eight token context as top cloud services, all locally. This means your code and chats stay on your machine, and you stop paying per token. If you have thirty two gigabytes of RAM or more, you can actually do this.

📰 https://news.ycombinator.com/item?id=47754997

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📦 arnaudguiovanna/tutor-mcp

Tutor MCP: The AI Tutor That Actually Grades You

Your AI assistant just started refusing to let you guess your way through a lesson. Tutor MCP is an open source tool that plugs into any large language model to turn it into a strict, scientific tutor. It doesn't just chat; it maps your knowledge into a graph and uses fifty years of cognitive science to track exactly what you know. If you guess wrong, it freezes your progress and forces you to practice until you actually understand the material. It’s like having a patient professor who remembers your mistakes and schedules reviews so you never forget them.

📰 https://news.ycombinator.com/item?id=49744316

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