huifer

huifer / zeus

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Structured, version-aware AI delivery framework for long-running projects. Deterministic planning (Spec/PRD/Task/Roadmap) + wave-based atomic execution + Git-hook enforcement + zero-manual multi-platform testing (Android/iOS/Chrome) + closed-loop evolution from real production feedback.

ai-agents claude-code llm skills
13
3
100% credibility
Found Apr 07, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

Zeus is a structured framework that guides AI agents through planning, executing, testing, and evolving software projects in a versioned, feedback-driven workflow.

How It Works

1
🔍 Discover Zeus

You hear about Zeus, a friendly guide that teams up with AI to plan, build, and improve your software project over time.

2
📁 Set up in your folder

Place the simple setup files into your project's folder to prepare everything.

3
🚀 Start with AI chat

Tell your AI helper to initialize, and it creates your project's foundation and goals.

4
💡 Dream up your project

Chat with AI to brainstorm ideas, and it crafts a clear design vision for what you want to build.

5
📋 Get a to-do list

AI breaks the vision into small, organized tasks with a step-by-step roadmap.

6
⚡ Watch AI build it

AI tackles tasks in waves, making updates to your project safely and steadily.

7
🧪 Test everything

AI creates ready-to-run tests for phones and web browsers, so you can check it all works perfectly.

🎉 Grow and improve

Share feedback with AI, evolve your project through versions, and see it get better with every cycle.

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AI-Generated Review

What is zeus?

Zeus is a Shell-based AI framework that structures LLM output into a full project delivery pipeline for long-running apps. Drop in a Git commit hook, then fire off slash commands like /zeus:brainstorm, /zeus:plan, and /zeus:execute in your Claude chat—it generates specs, PRDs, tasks, and roadmaps, runs dependency waves with atomic commits, auto-creates tests for Android, iOS, and Chrome via native toolchains, and loops in production feedback to evolve versions. It tames unreliable AI coding into deterministic, versioned workflows with enforced attribution.

Why is it gaining traction?

Unlike ad-hoc GitHub LLM prompts, Zeus enforces structured output for planning and execution, preventing scope creep with wave gates and Git hooks that block bad commits. Developers dig the zero-manual multi-platform testing and closed-loop evolution from real metrics, turning AI into a reliable executor rather than a prototype toy. The bilingual docs and brownfield onboarding make it dead simple to layer onto existing repos.

Who should use this?

Full-stack solo devs or tiny teams building cross-platform apps (Android/iOS/Chrome) who use Claude daily and hate manual task tracking. Ideal for indie hackers evolving MVPs into production via feedback, or maintainers wanting AI to handle planning without losing control. Skip if you're not deep into LLM structured output workflows.

Verdict

At 13 stars and 1.0% credibility, Zeus is raw and experimental—docs shine but expect bugs in execution waves. Worth a spin for greenfield AI projects if you tolerate early-stage Shell quirks; otherwise, watch for maturity.

(198 words)

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