Fast Asdlc MCP Server

⚡ Fast-ASDLC

Reduce TTM by 5x with an AI-native Agentic SDLC framework.
Open-source | Open-Model Native | Human-in-the-loop | Architecturally Rigorous

---

🚀 The Vision

Fast-ASDLC is not just a collection of prompts; it is a complete engineering methodology designed for the AI era. It automates 80-90% of routine SDLC tasks—from requirements gathering to DevOps manifests—while maintaining 100% architectural integrity through strict adherence to DDD, Hexagonal Architecture, and SOLID principles.

Why Fast-ASDLC?

Feature	Legacy SDLC	Fast-ASDLC
Time to Market	Weeks/Months	Days/Hours
Test Coverage	20-60% (manual)	90-100% (automated)
Documentation	Outdated/Missing	Always Sync (Everything-as-Code)
Architectural Drift	Common	Impossible (Spec-Driven)
Costs	High (Human-only)	Zero Token Costs (Local AI)

---

🏗 Key Architectural Pillars

• Agentic Roles: Specialized agents for Analysis, Architecture, Dev, QA, and SecOps.
• Everything-as-Code: All artifacts (C4 models, Threat Models, Runbooks) are Markdown/Mermaid.js to optimize context window.
• Spec-Driven Development: No code is generated without a verified architectural specification.
• Data Sovereignty: Built for open weights. Deploy on your private infrastructure to eliminate data leaks.
• Meta-Agent: A dedicated agent that continuously tunes the skills and workflows of other agents.

---

🛡 Battle-Tested Models

Fast-ASDLC is model-agnostic but officially verified in production environments using:

• Qwen 2.5/3 (Coder) — Recommended for high-precision logic and hexagonal code generation.
• GLM 4 — Recommended for complex analytical reasoning and multi-agent orchestration.

---

🛠 Repository Structure

Use this repository as a Template to start your new project:

• .agents/ — Rules, Workflows, and Skills for your AI team.
• .backlog/ — Intentions and feature definitions.
• src/ — Hexagonal-layered source code (Domain, Application, Infrastructure).
• tests/ — Automated test suite (Unit, Integration, Performance).
• infra/ — Infrastructure-as-Code (Docker, K8s, Terraform) created by DevOps Agent.
• docs/ — Live artifacts (DDD, C4 Models, Security, Specs), SRE & Ops documentation.

---

🤝 Contributing & Community

We aim for 5000+ stars and a vibrant ecosystem.

• Want to contribute? See CONTRIBUTING.md.
• Review Policy: All PRs are strictly reviewed by the author.

---

🏁 Quick Start (Launch in 2 Minutes)

Fast-ASDLC uses a self-bootstrapping engine powered by the Meta-Agent. You don't need to install heavy orchestrators—just copy a single prompt to initialize your environment.

1. Create and Clone

1. Click the "Use this template" button at the top of this repository.
2. Clone your newly created repository to your local machine.

2. Trigger the Meta-Agent Setup

3. Open the cloned repository in your preferred AI-assisted editor (e.g., Cursor, VS Code with Cline, or Windsurf).
4. Open your AI Assistant Chat sidebar, copy the entire content of the file /.agents/fast-asdlc/BOOTSTRAP-PROMPT.md, and paste it into the chat.
5. The Meta-Agent will wake up and guide you through an interactive chat interview to configure your specific tech stack, local LLM models (Qwen/GLM), and language policies.

3. Deep-Dive & Advanced Setup

For a complete guide on how to hook up MCP servers, configure automated quality gates, and pass your first feature request to the Analyst Agent, see the comprehensive Onboarding Playbook (ONBOARDING.md).

---

💎 Financial Support

Developing a high-tier agentic framework requires significant R&D. If Fast-ASDLC helps your company save time and money, please consider supporting the author.

🌍 Global / EU Supporters

• Cardholder: DMITRII SHAPIEVSKII
• IBAN:
• Mastercard:
• GitHub Sponsors: TBD

🇷🇺 Russian Supporters

• Card / Sber:
• Boosty: TBD

---

Created with ❤️ by Dmitrii Shapievskii. Join the AI-native revolution.