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5 in-depth llm articles on setup, real workflows, and production patterns — written for builders shipping with AI.
Andrej Karpathy drew a hard line between vibe coding and agentic engineering at Sequoia Ascent 2026. Here's the full framework — spec design, diff review, eval loops — and why mastering it puts you beyond 10x.
Karpathy's Software 3.0 framework reframes how builders should think about AI products. The context window is your program, the LLM is the interpreter. Here's what that means — and what software should stop existing.
Karpathy published a pattern that fixes how builders manage knowledge. Instead of RAG, an LLM incrementally builds and maintains a persistent wiki. Here's the full architecture, operations, and how to start.
Gemini 3.5 Flash launched at Google I/O 2026 with Terminal-Bench 76.2%, 1M token context, 4x speed, and 2x cheaper pricing. Here is what that actually means for builders — where Gemini wins, where Claude still leads, and the dual-model workflow for 2026.
Forget magic words. Prompt engineering is a learnable skill with clear principles. This guide covers chain-of-thought, structured outputs, role prompting, and the patterns that consistently get better results from Claude, GPT-4o, and Gemini.