coleam00

coleam00 / ai-transformation-workshop

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Workshop materials and demo app for 'Principles of Agentic Engineering' by Cole Medin — the AI layer concept, the PIV loop, and 15 reusable Claude Code commands you can drop into any project.

15
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100% credibility
Found Apr 29, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Workshop materials and demo poll application demonstrating AI-optimized development practices.

How It Works

1
👀 Discover the workshop

You hear about this fun poll maker from an AI workshop and decide to try it for quick group decisions like 'pizza or tacos?'.

2
🚀 Get it running

Follow the simple guide to start the poll app on your computer – it sets up a local spot for your polls in moments.

3
📝 Create your poll

Type a question, add choices, and hit create – your poll is born and ready to share instantly.

4
🔗 Share the link

Copy the unique link and send it to friends or family – anyone can join without signing up.

5
🗳️ Collect votes

People click their choice once (it remembers to prevent duplicates) and your poll fills up with real opinions.

📈 View exciting results

Check the results page to see live vote tallies and percentages – celebrate the winning choice!

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AI-Generated Review

What is ai-transformation-workshop?

This repo delivers workshop materials and tools for an AI transformation workshop on agentic engineering, including the AI layer concept, PIV loop methodology, and 15 drop-in Claude Code commands like /prime, /plan, /implement, and /create-prd. It bundles a live Next.js demo app—a simple poll builder for quick creation, single-choice voting, and static results—built as a canvas to demo the workflow. Developers get portable AI prompts to standardize agentic coding in any repo, plus Python skills for browser automation and PPTX generation.

Why is it gaining traction?

Unlike scattered AI prompt lists, this packages a full AI layer as version-controlled commands and skills, turning AI-assisted dev into a team process with PRs and reviews. The PIV loop (Plan-Implement-Validate) bakes in validation before coding, reducing hallucinations via sub-agents and git-log memory. Workshop materials like checklists and examples make agentic workflows repeatable without deep AI expertise.

Who should use this?

Engineering leads running github workshop copilot sessions or ai transformation workshops for teams new to agentic coding. Devs evaluating workshop materials and tools for Claude-heavy projects, like those needing PRD-to-Jira automation or E2E validation. Solo builders prototyping with Next.js who want reusable commands over one-off prompts.

Verdict

Grab it for experimenting with agentic engineering—the docs and demo shine, but 15 stars and 1.0% credibility score signal early maturity; expect tweaks for production scale. Solid starter if you're bridging workshop github copilot fundamentals to real projects. (198 words)

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