sergiolindolfoferreira

sergiolindolfoferreira / shape-up-ai-native

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Shape Up methodology adapted for AI-native software development teams. Based on Basecamp's Shape Up (basecamp.com/shapeup), reimagined for the age of AI coding agents.

ai-native basecamp development-workflow methodology product-development
12
1
100% credibility
Found Feb 23, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Mermaid
AI Summary

A detailed guide with principles, workflows, templates, and examples for adapting the Shape Up project management methodology to teams using AI coding agents.

How It Works

1
🔍 Discover the Guide

You find this friendly guide while searching for smarter ways to run software projects with AI helpers speeding things up.

2
📖 Learn the Principles

You read simple stories and tips about shifting from long team sprints to quick cycles where AI builds fast and you review.

3
Pick Your Starting Path
🆕
New to the Method

Dip into basics and original ideas before adapting for AI.

🏗️
Ready to Build

Follow hands-on steps to prepare your AI teammate right away.

4
🛠️ Set Up Your AI Teammate

You easily prepare a smart AI partner on your setup that writes code while you guide and check it.

5
🎯 Shape Your Ideas

You turn vague problems into clear sketches and pitches that everyone, including AI, can follow without confusion.

6
🚀 Bet, Build, and Ship

Your team picks promising ideas, AI creates the features quickly, you review and polish, then release to users.

🎉 Ship Faster and Smarter

Your projects launch in days with less stress, more wins, and a smooth loop of learning for the next round.

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AI-Generated Review

What is shape-up-ai-native?

Shape-up-ai-native adapts Basecamp's shape up methodology for AI-native teams, where coding agents like Claude handle implementation while humans focus on review and validation. It provides Mermaid diagrams, Markdown templates, and step-by-step guides for 1-2 week cycles—shaping pitches, betting on work, and breaking building into spec, plan, and implement modes integrated with GitHub and Basecamp. Developers get a full workflow to compress cycles from weeks to days, solving the shift from coding bottlenecks to review capacity in the age of AI.

Why is it gaining traction?

Unlike traditional shape up methodology vs scrum or v shape methodology, this version emphasizes shaping's criticality when agents amplify mistakes, with clear differences like continuous PR reviews and hill charts for scope discovery. The hook is practical templates for pitches and specs, plus real examples like a performance dashboard, making it easy to onboard AI agents on setups like Mac mini with OpenClaw. It stands out by blending shape up product methodology with GitHub Actions and Azure deploys, appealing to teams experimenting beyond original shape up methodology book or pdf resources.

Who should use this?

CTOs and founders managing small AI-augmented teams building SaaS like real estate platforms. Developers transitioning to reviewer roles in 4-person squads using shape up development methodology. Product leads shaping features for fast agent builds, especially those ditching backlogs for betting in Basecamp.

Verdict

Worth a quick read for its thorough docs and templates if you're adapting shape up agile methodology to AI, but with only 10 stars and 1.0% credibility score, it's early-stage—test in a side project before committing. Solid starting point despite low maturity.

(198 words)

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