Category
AI
- ·3 min read
The Quiet Platform Shift: Why Orchestration Layers Like Multica and Paperclip Matter More Than the Next Model
Every conversation about AI in software has quietly moved one altitude up. The interesting question is no longer which model — it's what runs above them. A survey of agent orchestration platforms, from Multica and Paperclip to CrewAI, LangGraph, MetaGPT and ChatDev, and a light forecast of where this is heading.
- ·3 min read
design.md for an MUI Codebase: A Concrete Template
Part 4 was the meta-template. This is the full design.md for an MUI v6+ codebase — every token, variant, and rule, ready to copy.
- ·3 min read
Session-Start Hooks That Pay for Themselves
Zero ongoing cost. Measurable improvement on every interaction. The underused feature of modern coding agents — what to put in it, and what not to.
- ·3 min read
Writing Task-Specific Agent Prompts That Work First Try
If design.md is the agent's memory, task prompts are its muscle memory — the highest-leverage agentic asset you can build, and the most underused.
- ·3 min read
What to Put in design.md: A Complete Template
A good design.md is a decision document, not a style guide. If a senior designer left tomorrow, would the next person make the same calls?
- ·3 min read
Rules That Agents Actually Follow: Enforcement Over Aspiration
A perfectly written CLAUDE.md cannot fix a contradictory codebase. The most effective rules file is short, opinionated, and backed by tooling.
- ·3 min read
A 3-Week Plan to Make Your Legacy React Codebase Agent-Ready
Three weeks, one engineer, one opinionated order. Stop the drift, collapse the duplicates, and let the rules you already have actually start working.
- ·3 min read
Why Your Legacy React Codebase Confuses AI Coding Agents
AI agents stumble on mature codebases because they have accreted multiple valid answers to the same question — and an agent has no way to know which one is current.
- ·3 min read
Building Model-Agnostic Workflows
The model you use today will not be the best model in 12 months. Write your workflow so that switching costs hours, not weeks.
- ·3 min read
Local Models: When You Run the Weights Yourself
Your code never leaves your machine. No API costs. No rate limits. The tradeoffs are real, but for the right use case, running local models is the right call.
