Everything worth knowing, modelled.
A personal knowledge base — engineering, AI, algorithms, papers, and the world — written with an agent, visual where it helps, indexed for recall.
Continue reading
Recently visited
Recent
- 12 load-bearing claims behind harness engineering Harness Engineering Lectures from walkinglabs distilling the load-bearing claims about agent harnesses — why infrastructure outside the weights, not the model itself, governs how much capability gets realized.
- KV cache: the engine behind fast LLM inference LLM Generating token N means attending to tokens 1..N-1. Recomputing their key/value tensors every step turns O(n) work into O(n²). Caching K and V is what makes real-time LLM streaming possible.
- Enable LSP in Claude Code for semantic code navigation Claude Code Claude Code navigates code with grep by default — slow and fuzzy. Enabling the official LSP plugins gives the agent semantic goToDefinition and findReferences instead. Install, enable, restart.
- 10 architectural patterns behind Claude Code Claude Code Reverse-engineered from npm source maps, these 10 design decisions explain why Claude Code is fast, safe, and recoverable under production conditions.
- Git submodules without surprise detached HEADs Git Submodules embed one repo inside another by pinning a commit, not a branch. Knowing that single fact prevents most of the pain — detached HEADs, missed pushes, and silent divergence after a pull.
- Branching strategies: Git Flow, GitHub Flow, trunk-based Git How the three dominant branching models differ in branch count, integration cadence, and release rhythm — and how to pick one based on your release model, not the model's brand.