4d ago · 6 min read · Meta Killed Llama. Open-Source Just Lost Its Loudest Champion The most important open-source AI company on Earth just stopped being open-source. After three years of being the public face of open-weight AI, Meta has abandoned Llama in favor of a prop...
Join discussion6d ago · 8 min read · You've solved 150 problems. You read the editorial. You watched the NeetCode video. And then a slightly different problem appears in the interview and you blank. It's not you. It's what you've been pr
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May 2 · 8 min read · You've Been Using Claude Code Wrong Since Day One Reading time: 22 minutes | For: Developers, Engineers, Builders | Part 1 of 3 Everyone installs it. Almost nobody understands what they installed. Three weeks ago, I watched a senior engineer—fifteen...
Join discussionApr 27 · 6 min read · Llama 4 API Access: Complete Developer Guide (Scout, Maverick, ofox) TL;DR — "Llama 4 Scout has a 10-million-token context window, costs as little as $0.08/M input tokens, and runs through any OpenAI-compatible API." If you're routing long documents,...
Join discussionApr 26 · 5 min read · Built in the open. Trained in public. Shipped with the spirit of the open-source AI community. A February Evening That Changed My Thinking On 17 February, I walked into an Anthropic event carrying o
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Apr 25 · 5 min read · Meta system design interviews usually push on product sense and scale at the same time. You are often expected to turn a vague product prompt into APIs, data models, ranking logic, consistency choices, and tradeoffs around latency, correctness, and c...
Join discussionApr 25 · 6 min read · Meta's Data Manipulation SQL interviews usually mix product sense with query mechanics. You are rarely solving a pure syntax exercise. The interviewer often wants to see how you define entities, handle messy event data, choose the right grain, and tu...
Join discussionApr 25 · 5 min read · Meta Analytics interviews usually focus on product judgment, experiment design, metric definition, and causal thinking. You're rarely being asked to produce a perfect formula on the spot. Interviewers want to see if you can frame a messy product prob...
Join discussionApr 24 · 2 min read · I have been writing notes for years. Architecture decisions, debugging war stories, things I wish someone told me before I shipped that thing to production. All sitting in private docs nobody reads. That felt like a waste. So here we are. Why bother...
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