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✦ Free & open sourceConstruction

spec_driven_develop

Spec-driven workflow plugin for AI coding agents with GitHub issue tracking.

Spec-Driven Development for AI Agents

Architecture-first planning, task decomposition, and adaptive control for Claude Code and Cursor.

Free forever · open source · MIT
✓ Light setup✓ Browser-based✓ Real-time collaboration
6.5
ZEKAI
Essential AI agent workflow
Free & open source · Construction
Ease of setup2
Usefulness9
Maintenance8.5
Community6.5
★ 981
GITHUB
Jul 2026
UPDATED
MIT
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

Spec-Driven Develop is a pure Markdown workflow plugin that brings architecture-first planning and task decomposition to AI coding agents like Claude Code, Cursor, and Codex. It suits you if you need to manage complex code migrations or rewrites without relying on heavy third-party runtimes.

Runs on
Cross-platform
Hosting
Desktop
Languages
Shell
License
MIT

What it is

It guides AI coding agents through a seven-phase pipeline ranging from quick intent capture and deep project analysis to task decomposition and progress tracking. The tool automatically detects your environment to handle GitHub issues, milestones, and batched pull requests while applying engineering cybernetics to correct plan drift.

Who it's for

It suits software engineers and architects orchestrating large-scale refactors, migrations, or multi-file code changes using Markdown-compatible AI agents. It does not suit developers looking for simple point-and-click extensions or those who do not use AI coding assistants.

Key features

Seven-Phase Pipeline

Automates tasks from intent capture and deep analysis to task decomposition and archiving.

GitHub Integration

Automatically creates issues, milestones, and delivery batch pull requests based on environment detection.

Adaptive Control

Implements a closed-loop feedback system to monitor execution telemetry and correct plan drift.

Tiered Execution

Supports orchestrator-direct execution, single-coder tasks, and parallel lanes with dedicated review agents.

How to start

Up and running in 3 steps

1
Sync the bundled skills to your shared agent directory using the provided installation script.
2
Invoke the spec-driven development skill within your preferred AI coding agent session.
3
Let the agent analyze your project, decompose tasks, and optionally sync with GitHub issues.
Real talk

Our honest verdict

What's great

  • Pure Markdown workflows with zero SDK or third-party runtime dependencies
  • Auto-detects GitHub environments to manage issues, labels, and milestones
  • Includes a closed-loop feedback mechanism to correct drift during complex tasks
  • Provides structured deep-discussion and findings-first code review capabilities

Where it falls short

  • Requires familiarity with command-line AI coding agents like Claude Code or Cursor
  • Running automated parallel agent lanes and managing GitHub workflows demands active oversight
  • Relies entirely on the capabilities of the underlying Markdown-compatible AI agent
Cost

Pricing & license

Free under its license, with no paid hosted option since it runs locally inside your AI coding agent environment. The only cost is your time and AI token usage.

Paid work

Open remote AI-training roles

873 open remote AI-training roles, updated November 15, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.

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Alternatives

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Questions

FAQ

What AI agents are supported?

It works with Claude Code, Codex, OpenCode, Cursor, Windsurf, Cline, Aider, Continue, Roo Code, Augment, and any agent that reads custom Markdown skills.

Does it require external dependencies?

No, it consists of pure Markdown workflows and small helper scripts with zero runtime dependencies.

How does task tracking work?

If a GitHub repository is detected, it automatically creates issues, milestones, and labels, falling back to local Markdown tracking otherwise.

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