How does AI Architect prevent common AI coding issues like 'Vibe Coding'?

It enforces a structured development process by requiring architectural planning, EARS requirements, TDD test scaffolding with intentional failures, and living documentation (`AI_CONTEXT.md`), ensuring well-designed and maintainable code.

What is AI Architect (MCP) and its core purpose?

AI Architect transforms your favorite AI into an automated Senior Software Architect and Tech Lead for your local development environment, guiding projects from initial planning to post-production with a structured workflow.

What architectural and development principles does AI Architect support?

AI Architect is built upon principles of Clean Architecture, Test-Driven Development (TDD), Living Documentation, Small Releases, and Extreme Programming (XP) for an iterative and anti-hallucination workflow.

How does AI Architect ensure code quality and secure releases?

It includes features for TDD test scaffolding, secure local commits (`commit_small_release`) that enforce linter and `npm test` checks, and dependency auditing, ensuring only quality code is committed to your local branch.

AI Architect

Name: AI Architect
Author: paulovitorpfranco-70x7

bypaulovitorpfranco-70x7

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デプロイメントとDevOps

Transforms your favorite AI into an automated Senior Software Architect and Tech Lead for local development environments.

AI Architect is a local server designed to integrate your preferred AI (like Claude, Cursor, Roo Code/Codex) directly into your development workflow. It functions as an automated Senior Software Architect and Tech Lead, guiding the entire software construction process from initial planning to post-production. Inspired by AI pair programming and Extreme Programming, it tackles 'Vibe Coding' by compelling the AI to plan architecture, document decisions in a living context file (`AI_CONTEXT.md`), generate EARS business specifications, initiate Test-Driven Development with failing tests, and block poorly tested commits, ensuring a structured and high-quality development process.

主な機能

01Living Architectural Context Documentation (AI_CONTEXT.md)

020 GitHub stars

03Guided Project Planning & EARS Requirement Generation

04Clean Architecture & Folder Structure Scaffolding

05TDD Test Scaffolding with Intentional Failures

06Secure Local Small Releases with Linter and Test Enforcement

ユースケース

01Guiding the full software development lifecycle from conception to deployment with AI.

02Automating the roles of a Senior Software Architect and Tech Lead to ensure quality and consistency.

03Enforcing structured development practices like Clean Architecture and TDD.