Context Engineering
Same model, same stack, opposite results. The variable isn't the AI — it's how you engineer context. Six articles built from 9 months of production data at Méthode Aristote.
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1/6 · The Same Model, Opposite Results: Context Is the Variable
Same model, same stack, opposite outcomes: +67% vs -19%. The variable isn't the AI. It's context engineering, and Princeton research explains exactly why.
· 12 min read - 2
2/6 · The CLAUDE.md That Doesn't Lie After Three Months
A good CLAUDE.md on day one is easy. Keeping it accurate three months later is the hard part. Maturity model L0 to L5 with a drift-detection loop.
· 13 min read - 3
3/6 · Four Layers, Not a Ranking: Mapping the Token-Reduction Toolbox
Token reduction is four layers, not competing tools. The map, three deep dives, and the cost blind spot that hides spending from Claude Max and Pro users.
· 15 min read - 4
4/6 · Context Engineering Became a Job Title. So Did Four Others
Context engineer is hiring. Four adjacent roles that didn't exist three years ago: harness engineer, spec engineer, agent identity architect, AI eval engineer.
· 13 min read - 5
5/6 · The AI Instruction System Is a Product, Not a Config File
Personal CLAUDE.md to team AI instruction system for six engineers. How Méthode Aristote separates sources, shares modules, and catches behavioral drift in CI.
· 13 min read - 6
6/6 · Don't Build Your Moat on One Vendor's Runtime
Your AI instruction system is an asset. Locking it to one runtime is a liability. Native primitives, cc-bridge routing, one command to prove portability.
· 13 min read