Can you catch bugs in your code before they happen? These guys did it. And they didn’t use any AI to do it. They built an open source tool that looks at your code and points at the files most likely to break soon. To test it, they checked 21 real projects. They looked at each file the way it was 6 months ago, then waited to see which ones actually broke. The tool called it right most of the time. It even worked on a project it had never seen before. It beats the usual tricks people rely on, like “check whatever changed last” or “check whatever broke before.” And it tells you why a file looks risky, in plain terms. Just reading your code. Crazy

X spoiled my mental health fr

Musk loses his trillionaire status

your github repos already know more than claude or codex does 😳 Repowise has 2.3K stars because it turns any GitHub repository into an AI knowledge base that actually understands the code what you and your AI gets instantly: > architecture explained in plain English > saves 50% on claude tokens, opus level work with sonnet > mines git history to get architectural decisions > flags code health, identifies weak parts of your codebase and automatically gives refactoring suggestions. > codebase Q&A with file level citations > onboarding for new engineers in minutes > PR and feature understanding without reading hundreds of files > works on public and private repos what this replaces: > hours of manual code reading > asking teammates where everything lives > outdated project documentation > endless grep and GitHub search why this matters: > codebases grow faster than humans can understand them > every new engineer spends weeks building a mental model > repowise lets AI answer questions using your actual repository instead of guessing > perfect for onboarding, debugging, code reviews, and feature exploration how to set up : pip install repowise repowise init. stop reading your codebase line by line let AI explain it instead bookmark this before your next onboarding session ↓ repo in comment

As much as I want to rage against the unpaid internship machine, the absolute truth is that I want this spot. I'm a student just grinding to break out in this space, and the chance to actually get direct access to your network of founders, engineers, and creators is huge for me. Connecting with new, brilliant people and learning how to build an audience from the inside genuinely means more to my future right now than a minimum-wage stipend. I've got the hustle, I've got the content ideas, and I am fully ready to be your dedicated trend-spotter. Hire me. Let's do this.

This is what happens when governments get their hands on Claude code

Just in: anthropic says it's removing access to Fable 5 and Mythos 5 for everyone today reason: a US government directive citing national security. they got the order at 5:21pm ET and had to pull both models for all customers the threat? a jailbreak where you ask the model to read code and fix bugs. what every coding tool already does shipped monday, recalled friday

Next comes retrieval. The challenge is finding the 0.1% of code that matters for the question. Good retrieval means: • relevant symbols • dependency paths • architectural context • related discussions before the model starts thinking. 4/6

The first requirement is repository understanding. Questions like: • what are the core abstractions? • where does data flow? • which services depend on each other? • what code is actually important? Need answers before generation begins. Otherwise every question becomes a fresh exploration problem. 2/6

Most fun github repo I found today It will give your AI coding agent a performance review. seriously. Run it against your Claude Code, Codex CLI, or Opencode transcripts and it generates a full "skip level meeting" between you and your agent. It analyzes: • how much you spent • tool call volume • retry storms • redundant file reads • apology rates • "you're absolutely right" counts • your interrupt rate • your prompt quality • your agent's reliability Then it creates a beautiful 360° review report with grades for BOTH sides. Agent: A- You: B The committee has spoken. The crazy part: It works entirely from transcripts already sitting on your machine. No accounts. No telemetry. No cloud uploads. Just: uvx skiplevel and a few seconds later you get a shareable report showing who is actually the bottleneck in your AI workflow. Your agent gets reviewed. You get reviewed. Management hears both sides. HR regrets scheduling the meeting. github link in replies, star it