ITzWorking
// Field notes

Field notes from AI-native engineering.

Short essays on what actually changes when AI is in the loop, and what doesn't. Drafted from real ships. Published as they're written.


Practice
Drafting

Why we stopped writing prompts and started writing specs

The shift from prompt-as-feature-description to spec-as-contract, and what changed when we made it.

Practice
Drafting

Context is the program

Same model, same prompt, different context, completely different output. A practical guide to engineering what the model sees.

Manifesto
Planned

The unglamorous half of AI engineering

The work AI never adds unless told to: secrets, timeouts, idempotency, runbooks. Why this is the half that matters.

Manifesto
Planned

Architectural taste in a regression-to-the-mean machine

LLMs converge on the median codebase. Notes on the bets only humans can make, and why they compound.

Process
Planned

The intern test

A diagnostic for telling whether you're prompting an AI or programming with one. If it fails the test, you're not yet senior with AI.

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