microsoft

microsoft / agentic-agile-template

Public

Agentic-Agile Development bridges Agile process values with the capabilities of AI coding agents. It is a methodology for building software through human-agent partnerships.

17
5
100% credibility
Found May 21, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

This is an official Microsoft template that teaches teams how to work effectively with AI coding assistants. Instead of just hoping an AI gets things right, it provides a structured approach: write clear requirements first, break work into manageable pieces, let AI work on multiple tasks in parallel, and continuously measure how well the partnership is going. The template includes ready-made documents, guidelines, and examples that teams can copy and customize for their own projects.

How It Works

1
💡 You want to work better with AI

You've been using AI coding assistants but feel like you're not getting the most out of them.

2
📖 You discover Agentic-Agile

You learn about a new approach that treats AI collaboration like a team sport, not just a fancy autocomplete.

3
📋 You grab a ready-made template

With one click, you copy a complete starter kit that has all the structures and guidelines your team needs.

4
✏️ You make it your own

You fill in details about your project—what it does, how it's organized, and the rules your team follows.

5
You plan your first piece of work
👥
Small team path

You and a colleague each take a piece and work alongside AI side by side

🚀
Larger team path

Multiple people each work on different pieces at the same time with AI helpers

6
🤖 AI brings your plans to life

Your AI helpers read your requirements and write code that actually matches what you asked for.

🎉 Your team ships with confidence

You measure how well things went, spot what to improve, and keep getting better at working with AI over time.

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AI-Generated Review

What is agentic-agile-template?

Microsoft's template brings Agile discipline to AI coding agents. Instead of hoping agents figure it out, you get structured workflows: spec-first stories with explicit acceptance criteria, wave-based parallel execution where multiple agents work simultaneously, and continuous measurement across eight dimensions. The core idea: coordination beats capability. Give an agent a vague prompt, get vague code. Give it well-specified ownership and constraints, get production-quality output.

Why is it gaining traction?

The hook is blunt: AI agents fail not from lack of smarts but from coordination breakdown. This template provides the process layer that makes agent collaboration repeatable. You get sample issue templates, MCP server configuration examples for extending agent capabilities, and an evaluation framework to measure whether your human-agent partnership is actually improving. Microsoft backing it adds credibility in a space full of hype.

Who should use this?

Teams already using or planning to use AI coding agents (GitHub Copilot, Claude, cloud agents) who want guardrails beyond "write better prompts." Engineering managers establishing team workflows, or developers frustrated by inconsistent agent output. If your current workflow is "prompt and hope," this gives you structure. Less useful if you just want better autocomplete—the methodology assumes intentional human-agent partnership.

Verdict

Interesting early-stage methodology from Microsoft addressing a real pain point, but exercise judgment before betting your process on it. At 17 stars and 1.0% credibility score, the approach is solid but the community is nonexistent. Worth piloting on a small project to stress-test the wave-based execution and measurement ideas. The framework won't solve your coordination problems overnight, but it gives you a vocabulary and checklist for thinking rigorously about agent collaboration.

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