// archive
Every dispatch.
The full log, newest first. Tagged for quick navigation.
2026
Shipping a devblog with Claude Code and Linear
Why I use Linear for a one-person project, and how superpowers skills and git worktrees make Claude Code feel like a real teammate.
How modern LLMs are trained, end to end
Building a frontier large language model today is a three-act play: a massive pretraining phase that absorbs the internet, a post-training phase that turns the resulting "completer" into a helpful assistant, and an increasingly important reinforcement-learning-on-reasoning phase that teaches the model to think before answering.
Designing the design stage: a comprehensive synthesis for an LLM-driven architecture plugin
A practical playbook for the architecture/design stage of an LLM-driven SDLC plugin: what makes design artifacts good, a file-per-artifact schema that mirrors the requirements layer, a methodology-agnostic core (ISO 42010 + arc42 + C4 + MADR + SEI), and a multi-agent pipeline with deterministic validation gates.
The physical layer of the AI revolution
Training a frontier large language model is no longer a software problem — it is a construction problem. The binding constraints have shifted from chips to power, packaging, and grid interconnects, with transformer lead times stretching past three years and over half of planned 2026 US data-center capacity reportedly delayed by electrical-equipment shortages.
Designing an LLM-Driven Requirements Generator
How to build an LLM-powered requirements generator using EARS notation, ISO 25010:2023 NFR coverage, and a multi-agent generator/critic/formatter split that avoids the failure modes empirical studies now document.
Tokens, Tokenizers, and How Claude Counts Them
How subword tokenization algorithms work under the hood, why they shape context window economics and model accuracy, and what Claude's proprietary tokenizer changes mean for your API budget.
2025
Why your Claude Code agents need a BOUNDARIES.md
Three weeks fighting yes-man behavior, and the small architectural guardian that finally fixed it.
Building an MCP server for Godot: lessons from week one
Whole-project analysis, debug interpretation, and the parts I got wrong.
Configurable approval modes for background tasks
A YAML pattern for auto / review / approve workflows that scales beyond a single agent.