pilotspace-add 1.1.0

ADD (AI-Driven Development) — install the ADD skill, tooling, and AIDD book into any project

ADD — AI-Driven Development

A minimal, state-tracked Claude Code skill for building software when the AI writes the code and you own the two things it cannot do alone: decide what to build, and verify it is correct.

ADD is the orchestration engine of the AIDD method. It sits on top of a context foundation (DDD → SDD → UDD) and runs as a red/green TDD ↔ AI-build loop. The full reasoning — why every rule exists — is the AIDD book bundled in docs/. Read it once; keep it open beside you.

  Foundation (context):  DDD  ·  SDD  ·  UDD
  Engine (this skill):   TDD  ⇄  ADD
  Flow per feature:  Specify → Scenarios → Contract → Tests → Build → Verify → Observe ↻

Why ADD (and why it is minimal)

Heavy doc-first methods burn your time writing documents and lose the thread across sessions (context rot). ADD fixes both:

• One file per feature. Spec, scenarios, contract, test-plan, and gate record all live inline in a single TASK.md. No sprawling doc tree.
• State on disk, not in chat. A Python tool tracks where you are in .add/state.json, so a fresh session resumes with one command instead of re-reading the repo.
• Progressive disclosure. The skill loads only the guide for the phase you are in — the context window stays lean.

Install

Pick your ecosystem — both install the same skill, tooling, and book:

# Node / npm
npx @pilotspace/add init --name "My App" --stage prototype

# Python / pip
pip install pilotspace-add
pilotspace-add init --name "My App" --stage prototype

New here? Follow the 10-minute Quickstart — it walks your first feature end to end.

This installs:

Path	What
.claude/skills/add/	the add skill Claude loads (thin router + per-phase guides)
.add/tooling/add.py	scaffolder + state tracker (Python, stdlib only)
.add/docs/	the AIDD book — the trust layer
.add/state.json	where the project is
.add/CONVENTIONS.md, GLOSSARY.md, MODEL_REGISTRY.md, dependencies.allowlist	survivor-layer files

Use it

ADD is AI-first: you talk to the agent; it drives the method. In Claude Code, run /add and say what you want to build:

/add — "I want to let users transfer money between their own accounts."

The agent orients from state.json, sizes your request into a milestone (you confirm the shape), then drafts each feature's one-approval front — Spec + Scenarios + Contract + Tests as one bundle — and you give one approval at the frozen contract. A self-driving build→verify run takes it to green; security findings always stop back to you.

Under the hood the agent runs the CLI as its hands — and you can hand-drive it too:

python3 .add/tooling/add.py status      # where am I? (resume point)

The non-negotiables

1. Direction before speed — no Build until spec, scenarios, contract, and red tests exist.
2. Trust evidence, not inspection — a feature is trusted because its tests pass and the blind spots (concurrency, security, architecture) were checked.
3. Never weaken a test or edit a frozen contract to make the build pass.
4. No silent skips — every Verify records PASS, RISK-ACCEPTED, or HARD-STOP. Security findings are always HARD-STOP.
5. Ask, don't guess.

The artifacts survive; the code is disposable

The durable asset is the decisions — spec, scenarios, contract, tests. The code is one implementation that satisfies them and can be regenerated. If the thing you'd be upset to lose is "the code," you're still working the old way.

Read the method

Start at docs/README.md — Foundations → the six steps → operating it across a team → templates, prompts, and a full worked example.

Develop

npm test     # runs the Python tests for the tooling (red/green)

License: MIT.