94,000 developers use this framework to stop AI coding agents from going rogue
Superpowers gives AI coding agents a structured workflow — from brainstorming to code review. 94K GitHub stars and +4,000 today.
AI coding agents are powerful, but they have a habit of jumping straight into writing code before understanding what you actually want. Superpowers — now at 94,500 GitHub stars — is a free framework that forces your AI coding agent to slow down, think, and follow a structured process.
It gained over 4,000 stars in a single day, making it the most-starred trending project on GitHub today.
The problem it solves
When you give an AI coding agent a task like "add a login page," it typically starts writing code immediately. The result? It might build something that technically works but misses your actual requirements, doesn't follow your project's patterns, or creates bugs that are hard to find later.
Superpowers changes this by making the agent go through a mandatory workflow — similar to how a senior developer would approach a project:
1. Brainstorm — The agent asks you clarifying questions instead of guessing what you want
2. Design — It proposes a plan and validates it before writing any code
3. Plan — Breaks the work into small, testable chunks (2–5 minutes each)
4. Build — Writes code using test-driven development: write the test first, then make it pass
5. Review — Automatically checks its own work for quality
6. Ship — Commits clean code with proper git history
Works with the tools you already use
Superpowers isn't locked to one platform. It works with:
Claude Code — /plugin install superpowers@claude-plugins-official
Cursor — available in the marketplace
Gemini CLI — gemini extensions install https://github.com/obra/superpowers
Codex & OpenCode — manual setup via install guides
The philosophy: tests first, always
The framework is built on four principles that experienced developers will recognize:
Test-driven development — every feature starts with a failing test. The agent writes the test, watches it fail, writes the code to make it pass, then cleans up. This catches bugs immediately instead of discovering them later.
Systematic over ad-hoc — no more "let me just try something." Every step follows a process.
Evidence over claims — the agent must prove its code works (through passing tests) rather than just saying "done."
Complexity reduction — if a solution is getting complicated, the framework pushes the agent to find a simpler approach.
Autonomous multi-hour sessions
One of Superpowers' standout features is its ability to run agents for hours without human intervention. It uses sub-agents (parallel workers) and isolated git branches (via git worktrees) to handle complex tasks across multiple files simultaneously — while keeping your main codebase untouched until everything passes review.
Who this is for
Solo developers who want their AI agent to produce production-quality code, not quick hacks. Teams who need consistency when multiple people use AI coding tools. Anyone frustrated by AI agents that generate code that "works" in isolation but breaks in the real project.
Created by Jesse Vincent (Prime Radiant), Superpowers is MIT-licensed and fully open source. The project has 385 commits, 7,500 forks, and an active Discord community.
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