Spec-driven workflow plugin for AI coding agents with GitHub issue tracking.
Architecture-first planning, task decomposition, and adaptive control for Claude Code and Cursor.
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.
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.
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.
Automates tasks from intent capture and deep analysis to task decomposition and archiving.
Automatically creates issues, milestones, and delivery batch pull requests based on environment detection.
Implements a closed-loop feedback system to monitor execution telemetry and correct plan drift.
Supports orchestrator-direct execution, single-coder tasks, and parallel lanes with dedicated review agents.
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.
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.
It works with Claude Code, Codex, OpenCode, Cursor, Windsurf, Cline, Aider, Continue, Roo Code, Augment, and any agent that reads custom Markdown skills.
No, it consists of pure Markdown workflows and small helper scripts with zero runtime dependencies.
If a GitHub repository is detected, it automatically creates issues, milestones, and labels, falling back to local Markdown tracking otherwise.
See Zekai first in Google