nWave-ai

nWave-ai / nWave

Public

AI agents that guide you from idea to working code, with you in control at every step.

nwave.ai ai atdd bdd claude-code devops
188
25
100% credibility
Found Feb 17, 2026 at 91 stars 2x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

nWave provides AI agents within Claude Code that guide users through a structured process from idea to working software features with human review at each stage.

How It Works

1
🔍 Discover nWave

You hear about a friendly guide that turns your software ideas into real working features step by step.

2
📦 Get it ready

You add the guide to your tools with a simple download, no complicated setup needed.

3
🔄 Refresh your workspace

You reopen your coding helper, and the guide is now available inside.

4
💭 Chat about your idea

You tell it what you want to build, like a user login, and it helps clarify the details together.

5
📐 Plan the structure

You ask for a smart design, reviewing a clear blueprint before moving on.

6
🧪 Create checks

It makes simple tests to ensure everything works as expected, which you approve.

7
🔨 Build it step by step

You guide the creation of the actual feature, checking progress at each wave.

✅ Enjoy your new feature

Your idea is now a working piece of software, ready to use with full confidence.

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Star Growth

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AI-Generated Review

What is nWave?

nWave deploys specialized AI agents inside Claude Code to guide you from vague ideas to production-ready code via six structured waves: discovery, requirements, architecture, DevOps setup, acceptance tests, and TDD delivery. You run simple slash commands like `/nw:discuss "user login"` or `/nw:deliver` in your Claude session, reviewing outputs at human gates to keep control—no black-box automation. Built in Python, it installs via pipx and hooks into Claude's environment for agent-driven workflows.

Why is it gaining traction?

Unlike GitHub Copilot's inline suggestions or generic agents github claude code setups, nWave enforces a full methodology with 22 agents handling everything from market validation to refactoring roadmaps, plus visual diagrams and peer reviews. Developers dig the checkpoints that build trust, letting you skip waves for brownfield fixes while ensuring TDD and production readiness. Its agents github repo focus on evidence-based research and zero-knowledge-loss prompts stands out for reliable, repeatable results.

Who should use this?

Backend devs solo-building Python features in Claude Code, like API auth or user workflows, who want structured guidance without endless prompting. Small teams doing greenfield apps or legacy refactors will like the wave-skipping for quick wins. Avoid if you're not in Claude or prefer unguided Copilot-style coding.

Verdict

Try it if you're in Claude Code and tired of ad-hoc AI coding—solid docs and templates make onboarding fast, despite 82 stars and 1.0% credibility signaling early maturity. MIT-licensed with strong pre-commit hooks, but expect iteration as the ecosystem grows.

(198 words)

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