ConstitutionKit -- AI-first project constitutions

2 min read Original article โ†—

Your project's
engineering constitution.

Generate a production-ready constitution.md or CLAUDE.md tailored to your stack, team, and principles. Built for teams shipping with agentic AI. Runs entirely in your browser โ€” no account, no server.

spec-kit Claude Code agentic AI no account needed open source ยท MIT

Step 02

Project type & stack

๐ŸŒ

Web App

SPA / SSR / fullstack web product

๐Ÿ”—

Microservices

Distributed services with APIs

๐Ÿ”„

Data Pipeline

ETL, streaming, analytics, ML

๐Ÿค–

AI System

Agentic, LLM-powered, or AI-first

โš™๏ธ

Platform / SDK

Developer tooling, libraries, APIs

๐Ÿ“ฑ

Mobile App

iOS, Android, or cross-platform

๐Ÿฆ

Flutter App

Cross-platform Flutter / Dart app

๐Ÿ—๏ธ

Full-Stack Solution

Multi-tier: mobile, web, API, infra

๐Ÿ’ฌ

WhatsApp Agent

AI-powered WhatsApp bot via Business API

Select tiers in your solution (pick all that apply)

Tech stack (pick all that apply)

Next.js

React

Vue

Node.js

Go

Python

Rust

Java / Spring

PostgreSQL

MongoDB

Redis

Kafka

GraphQL

tRPC

Docker

Kubernetes

AWS

GCP

Terraform

TypeScript

React Native

Flutter

Dart

Firebase

LangChain

Anthropic API

WhatsApp API

Twilio

Meta Cloud API

Webhook

Quick presets

AI-First Stack

Startup Speed

Enterprise Grade

Security-Critical

Flutter / Dart

Full-Stack

WhatsApp Agent

Everything

Clear all

0 selected

Project description โ€” optional

Build / test commands

Used in CLAUDE.md so the agent knows how to run the project

Forbidden paths

Directories the agent must never touch autonomously

Key directories

Important folders in your project structure

Agent autonomy level

How much the agent can do without asking

Team size

Influences collaboration and review conventions

Branch strategy

How your team manages branches and merges

PR merge strategy

How PRs are merged into the target branch

Test framework & coverage threshold

e.g. Jest + RTL, 80% coverage / pytest, no threshold

Environment topology

List your environments and what the agent is allowed to do in each

Unusual constraints or non-standard decisions

What would surprise a new engineer or AI agent? Legacy modules, non-standard patterns, historical context.

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