Architext

The AI Architecture Protocol. Define first, build right.

Supported IDEs: Cursor (recommended) · Windsurf · Trae · VS Code · Claude Code · OpenCode

🚧 Early-stage notice

Architext is in early development. The core workflow (init → start → plan → code) is functional, but rough edges remain. If you run into any issues, please open an Issue — I'll address it quickly. Every piece of feedback directly shapes the project, and I'm grateful you're willing to try it at this stage.

What is Architext?

Architext is a Document-Driven AI Development (DDAD) protocol that upgrades your AI coding assistant from a "random code generator" into a "rigorous world-class architect."

Before a single line of code is written, Architext forces you and your AI to align on: what you're building, why it matters, and exactly how it should be implemented — through structured documents that persist across every chat session.

No Docs, No Code. Code is just a downstream artifact of documents.

Architext targets small-to-medium applications, designed for solo developers or solo + AI assistant workflows. Whether you use chat-based AI today or a future JARVIS-like persistent assistant, the document-driven approach gives AI stable context, clear execution boundaries, and keeps you in control of every decision.

Architext operates in two layers:

Layer	How to trigger	Responsibility
CLI Tool Layer	`npx archi <command>`	Deploy rule files, prompts, and skills into your project
AI Command Layer	`/archi.<command>` in AI chat	Generate documents, plan features, write code, audit

The CLI layer bootstraps the project once. The AI command layer drives all development work on top of those files.

Why Architext?

	AI Full-Agency Mode (Trae Solo / Bolt / v0)	Architext
Core Assumption	AI knows what you want	You know what you want, but haven't thought it through yet
AI's Role	Full agent — decides and executes	Product consultant + strict executor
Your Role	Reviewer (see it after it's done)	Decision-maker (see the full picture before build)
Information Flow	AI → You ("does this work?")	You → AI ("here's exactly what I need")
Ownership	AI implicitly decides the logic	You explicitly define, AI strictly executes

Other tools let AI make decisions for you. Architext helps you make better decisions with AI.

Quick Start

Step 1 — CLI: deploy the framework

npm install -g architext
npx archi init

✔ Select language    › English
✔ Select IDE(s)      › Cursor   (multiselect — Cursor / Windsurf / Trae / VS Code / Claude Code / OpenCode)
✔ Select project type › Web SPA / PWA
✔ Generate project-brief.md? › Yes (fill in project requirements for /archi.start or /archi.inherit)

● Deploying Architext...
✔ Docs deployed      → .architext/
      prompts/  global/  templates/  tasks/
✔ Rules deployed     → .cursor/rules/           (Cursor: .mdc)
      00_system · 90_custom_rules
✔ Commands deployed  → .cursor/commands/        (Cursor only)
      archi.start · archi.scope · archi.plan · archi.code · archi.audit · ...
✔ Skills deployed    → .cursor/skills/          (Cursor)
      archi-decompose-roadmap · archi-interview-protocol · archi-plan-options · archi-ui-wireframe
✔ project-brief.md generated → project root

◆ Done! Fill in project-brief.md, then run /archi.start in your AI editor.

Step 2 — AI chat: initialize your project

When you choose to generate it, archi init creates a tailored project-brief.md at your project root. Fill it in, then run:

/archi.start project-brief.md

The AI reads the brief, interviews you on key decisions, and generates the project's foundation documents (vision.md, roadmap.json, tech_stack, etc.).

Existing codebase? Skip /archi.start and use /archi.inherit instead — it reverse-engineers your project and registers existing features as LEG-xx tasks. Optional: pass project-brief.md when the codebase is minimal (skeleton repo) to supplement vision and roadmap.

How It Works

The main trunk of a project lifecycle. Everything happens in your AI chat window.

project-brief.md → /archi.start → [?UI] /archi.ui → /archi.plan → /archi.code → /archi.audit
                                                               ↑
                        /archi.scope runs anytime you have NEW feature requirements
                        (not limited to "right after start" — mid-project, post-release, etc.)

Stage 1 — Initialize

You:  /archi.start project-brief.md

AI:   [Analyzing project brief...]
      [Interviewing you on tech stack, architecture style, project type...]

      ✔ ADDED:    .architext/global/vision.md
      ✔ ADDED:    .architext/global/roadmap.json
      ✔ ADDED:    .architext/global/dictionary.json
      ✔ ADDED:    .architext/global/error_codes.json
      ✔ ADDED:    .architext/global/env_registry.json
      ✔ ADDED:    .architext/global/tech_stack.md
      ✔ ADDED:    .architext/global/ui_context.md       (UI projects only)
      ✔ MODIFIED: .cursor/rules/90_custom_rules.mdc  (filled with team conventions)

      Next: run /archi.ui to generate UI concept designs → then /archi.plan <first-task-id>
            if you have more requirements → /archi.scope to add tasks first

Existing codebase? Use /archi.inherit instead — it reverse-engineers your project and registers existing features as LEG-xx tasks. Also generates map.json.

Stage 2 — Decompose (optional, runs anytime)

/archi.scope is not "the step after start." Run it whenever you have new feature requirements beyond what's in the initial brief or current roadmap — right after start, mid-project, or after all tasks are done.

You:  /archi.scope scope-brief.md           ← provide a file, or run bare to trigger an interview

AI:   [Reading vision.md, roadmap.json, map.json, tech_stack...]
      [Scanning existing tasks for impact analysis...]

      Decomposed into 3 tasks:
      ✔ MODIFIED: .architext/global/roadmap.json
        ADDED task FEAT-001 · auth-login        (status: pending)
        ADDED task FEAT-002 · auth-session      (status: pending, deps: FEAT-001)
        ADDED task FEAT-003 · user-profile      (status: pending, deps: FEAT-001)

Stage 3 — Plan

You:  /archi.plan FEAT-001

AI:   [Reading vision.md, tech_stack.md, map.json, dep specs...]
      [Interviewing you on logic, data flow, edge cases...]

      Q1. Authentication method? [A] JWT  [B] Session Cookie  [C] OAuth  [Recommended: A]
      Q2. Should sessions persist across devices? [Y/N]
      Q3. ...

You:  A | N | ...

AI:   ✔ ADDED:    .architext/tasks/FEAT-001_auth-login/spec.md
      ✔ ADDED:    .architext/tasks/FEAT-001_auth-login/plan.json
      ✔ ADDED:    .architext/tasks/FEAT-001_auth-login/ui.md           (UI projects only)
      ✔ MODIFIED: .architext/global/roadmap.json    (FEAT-001: pending → active)
      ✔ MODIFIED: .architext/global/map.json
      ✔ MODIFIED: .architext/global/dictionary.json

Before any code is written, review the generated documents:

spec.md — Feature logic, Gherkin acceptance criteria, interface contracts
plan.json — Implementation phases, file-level task breakdown, decisions
ui.md — Interaction spec, references screens defined in ui_context.md (UI projects only)

Confirm "this is exactly what I want" — then proceed to implementation.

Stage 4 — Implement

You:  /archi.code FEAT-001

AI:   [Reading spec.md, plan.json, tech_stack.md...]
      [Status Gate: FEAT-001 is active ✔]
      [Running Silent Audit Loop: deps / tech rules / arch boundaries...]

      Implementing Phase A: Core Auth Logic
      ✔ ADDED:    src/features/auth/auth.service.ts
      ✔ ADDED:    src/features/auth/auth.controller.ts
      ✔ MODIFIED: src/app.module.ts
      ✔ MODIFIED: .architext/tasks/FEAT-001_auth-login/plan.json  (Phase A → done)

Stage 5 — Audit (optional, strongly recommended)

You:  /archi.audit FEAT-001       ← with ID: audits that task; without ID: project-level health check

AI:   [Reading code + spec + plan + vision + tech_stack...]

      ✔ ADDED: .architext/tasks/FEAT-001_auth-login/audit.md

      Findings: 2 issues
      [MEDIUM] Missing rate-limit on /auth/login → suggest /archi.fix
      [LOW]    Token expiry not configurable via env var → suggest /archi.edit

Daily development between commands is driven by natural language Chat Mode. Describe what you want in plain language — e.g. "add a login feature" or "fix the auth bug" — and the AI will automatically load and execute the right protocol (scope/plan/code/edit/fix). No need to manually type /archi.* slash commands. For questions, trivial edits, and debugging, the AI answers directly. Two rule files act as always-on base rules: 00_system and 90_custom_rules.

Tutorials

Different scenarios, same protocol. Pick the one that matches your situation.

Tutorial A: New project, brief covers everything

Your project-brief.md already lists all features. No scope needed.

/archi.start project-brief.md  →  [?UI] /archi.ui  →  /archi.plan FEAT-001  →  /archi.code FEAT-001  →  ...

Start produces a roadmap. For UI projects, run /archi.ui to generate screen prototypes. Then plan and code as usual.

Tutorial B: New project, brief incomplete

You ran start, but later realize you forgot features or want to add more.

/archi.start project-brief.md  →  [?UI] /archi.ui  →  /archi.scope scope-brief.md  →  /archi.plan FEAT-001  →  ...

Scope appends new tasks to roadmap.json. Then run /archi.ui for UI projects, and plan and code as usual.

Tutorial C: Add features mid-project

You're already building. FEAT-001 is done, and you want to add FEAT-002, FEAT-003, etc.

...  →  /archi.scope scope-brief.md  →  /archi.plan FEAT-002  →  /archi.code FEAT-002  →  ...

Scope runs anytime — not only after start. Whenever you have new requirements beyond the current roadmap, run scope.

Tutorial D: Existing codebase

You have an existing repo. Adopt Architext without rewriting.

npx archi init  →  /archi.inherit [project-brief.md]  →  /archi.edit LEG-xx 补全 Stub  →  /archi.code LEG-xx

Inherit reverse-engineers the repo and registers features as LEG-xx tasks. Use edit to complete stub specs, then code when needed.

Tutorial E: Bug fix

/archi.fix FEAT-001 "login fails when password has special chars"

Fix diagnoses, appends a Bugfix Phase to the plan, and repairs the code.

When to use /archi.scope (summary)

When	Action
Right after start, brief didn't cover everything	scope
Mid-project, new feature idea	scope
All tasks done, want to add a new module	scope
Brief already covers everything	Skip scope, go to plan

Commands

AI Chat Commands

You can trigger these either by typing /archi.<command> or by describing your intent in natural language — Chat Mode will automatically load and execute the matching protocol.

Command	Description
`/archi.start [brief]`	Read a project brief and generate foundation docs (vision / roadmap / tech_stack etc.)
`/archi.inherit [brief]`	Reverse-engineer existing codebase; optionally pass project-brief.md to supplement vision/roadmap (skeleton repos)
`/archi.scope [file_path]`	Decompose extra requirements into roadmap tasks; omit file to trigger an interview
`/archi.plan <ID> [context]`	Deep architecture interview → spec / plan ([?UI] also ui.md); supply context to reduce questions
`/archi.code <ID>`	Implement from plan phase by phase; only `active` tasks are allowed
`/archi.script`	Generate AI automation scripts (validate/dev-up/dev-reset) post-infrastructure
`/archi.edit <ID> [context]`	Update feature spec → append new dev phase; history is preserved
`/archi.revise [context]`	Global arch/stack change → impact assessment → cascade update on confirm
`/archi.ui`	Generate or incrementally update multi-file UI concept designs (`screens/` directory); UI projects only
`/archi.audit [ID]`	Deep code audit; with ID audits a task, without ID does a project-wide health check
`/archi.fix [ID] <context>`	Root-cause diagnosis and bug fix; ID optional, context describes the symptom
`/archi.map`	Diff map.json against actual file tree and sync
`/archi.remove <ID>`	Decommission a feature: remove code + docs, clean roadmap/map refs
`/archi.help [question]`	No question: recommend next action; with question: locate relevant files and answer

CLI Commands

Command	Purpose
`npx archi init`	Deploy framework files (rules, prompts, skills)
`npx archi update`	Update deployed files to latest version
`npx archi doctor`	Check project health
`npx archi render`	Generate Markdown views from JSON data
`npx archi task [--check]`	View / validate roadmap task status
`npx archi plan <id>`	Check plan completion status for a feature
`npx archi pack [-o file]`	Pack user data into XML for backup/migration
`npx archi template <name>`	Fetch a template file to project root
`npx archi uninstall`	Remove Architext files from project

Core Philosophy

① Document-Driven AI Development (DDAD)

Code is a downstream artifact of documents. Every change starts with a document update — spec first, code second. This makes every decision traceable and every AI output predictable.

② User Agency

AI's job is to surface and clarify your intent — not replace your judgment. You see the complete feature logic, data flow, and interaction model before development begins. All critical decisions stay in your hands.

③ Meta-Framework

Architext doesn't impose an architecture. It enforces whichever architecture you choose — MFA, FSD, DDD, Clean Architecture — through rules and boundaries that the AI cannot ignore.

A Note on Vision

The AI development landscape is evolving at a pace none of us fully anticipated. New models, new tools, new paradigms — every few months, the ground shifts again.

Architext is my attempt to bring some structure to how we work with AI in software development. It's not a claim to have found the definitive answer. It's one direction that made sense to me — grounded in the idea that clear thinking before coding leads to better outcomes, regardless of how powerful the AI becomes.

If it's useful to you, great. If you see a better way, I genuinely want to hear it.

FAQ

Q: How is this different from Cursor's Agent mode or built-in planning?

Agent mode is great for single sessions. Architext provides persistent context that survives across sessions, team members, and even AI tool switches. Your specs live in the repo — they don't disappear when you close the chat.

Q: Can I use this on an existing codebase?

Yes. Run npx archi init first to deploy the framework, then run /archi.inherit — Architext analyzes your existing code and fills the document skeleton (does not overwrite your existing content). Existing features are registered as LEG-xx tasks with stub specs, so you can gradually adopt the workflow without a big-bang rewrite.

Note: /archi.inherit is still early-stage. Analysis results for large or complex repos may be incomplete and require manual cleanup. Feel free to open an Issue if you hit problems.

Q: Which IDEs are supported?

Four IDEs are currently supported. During archi init you manually select which ones to deploy (multiselect, any combination):

IDE	Rules directory	Extension	Status
Cursor	`.cursor/rules/`	`.mdc`	Recommended — most thoroughly tested
Windsurf	`.windsurf/rules/`	`.md`	Supported
Trae	`.trae/rules/`	`.md`	Supported
VS Code	`.github/instructions/`	`.instructions.md`	Supported
Claude Code	`.claude/rules/`	`.md`	Supported
OpenCode	`.opencode/rules/`	`.md`	Supported

Support for additional editors is planned.

Q: Does this work for non-web projects?

Yes. Architext is architecture-agnostic and project-type-agnostic. It works for CLI tools, Web apps, mini-programs, APIs, backend services, and embedded systems. The templates adapt to your project type during initialization.

Q: Do I have to use every command?

No. You can start with just /archi.plan + /archi.code and gradually adopt the rest as your team gets comfortable. The system is designed to be incrementally adoptable.

Q: Is token consumption high?

Yes. Each command loads multiple context files and performs deep analysis — token usage is noticeably higher than casual prompting. This is an inherent cost of document-driven development; the tradeoff is more predictable outputs and far fewer "wait, that's not what I meant" cycles.

Contributing · Changelog · Issues

This is Architext: a meta-framework protocol that makes AI work like a senior architect.

Name		Name	Last commit message	Last commit date
Latest commit History 172 Commits
.github		.github
.husky		.husky
docs		docs
src		src
templates		templates
website		website
.gitattributes		.gitattributes
.gitignore		.gitignore
.prettierignore		.prettierignore
.prettierrc		.prettierrc
CHANGELOG.md		CHANGELOG.md
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
README.md		README.md
README.zh-CN.md		README.zh-CN.md
commitlint.config.js		commitlint.config.js
eslint.config.js		eslint.config.js
package-lock.json		package-lock.json
package.json		package.json
pnpm-lock.yaml		pnpm-lock.yaml
tsconfig.json		tsconfig.json
tsup.config.ts		tsup.config.ts
vitest.config.ts		vitest.config.ts

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Architext

What is Architext?

Why Architext?

Quick Start

How It Works

Tutorials

Tutorial A: New project, brief covers everything

Tutorial B: New project, brief incomplete

Tutorial C: Add features mid-project

Tutorial D: Existing codebase

Tutorial E: Bug fix

When to use /archi.scope (summary)

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Core Philosophy

A Note on Vision

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Architext

What is Architext?

Why Architext?

Quick Start

How It Works

Tutorials

Tutorial A: New project, brief covers everything

Tutorial B: New project, brief incomplete

Tutorial C: Add features mid-project

Tutorial D: Existing codebase

Tutorial E: Bug fix

When to use /archi.scope (summary)

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AI Chat Commands

CLI Commands

Core Philosophy

A Note on Vision

FAQ

About

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