AI

6 notes in 3 categories.

Categories

• LLM 1
• Claude Code 4
• Harness Engineering 1

Recent

• 004512 load-bearing claims behind harness engineering New Harness EngineeringLectures 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.
• 0043KV cache: the engine behind fast LLM inference New LLMGenerating 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.
• 0035Enable LSP in Claude Code for semantic code navigation New Claude CodeClaude 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.
• 003410 architectural patterns behind Claude Code New Claude CodeReverse-engineered from npm source maps, these 10 design decisions explain why Claude Code is fast, safe, and recoverable under production conditions.
• 0004Use Claude Code /compact command effectively New Claude CodeWhen and how to use Claude Code's /compact — what it actually does, the signals that say it's time, and the prompt patterns that produce a clean handoff.
• 0002Use subagents to protect the main contextClaude CodeSubagents are not just for parallelism — their real value is keeping irrelevant tool output out of the parent conversation.