Select the search type
  • Site
  • Web
Search

 
 
✓ Featured Content

Software Design Patterns Videos

A curated playlist of specific YouTube content.

Hands-on Workshop

Ready to Transform Your Scrum Team with AI?

Join the Generative AI for Scrum Teams Workshop

Stop wondering how AI fits into your Agile workflow. In this hands-on workshop, you'll learn exactly how to integrate AI tools into every sprint ceremony, backlog refinement session, and delivery cycle—without disrupting the Scrum framework that already works for your team.

What You'll Master:

  • AI-powered user story creation and refinement techniques
  • Automated test generation and code review strategies
  • Sprint planning acceleration with AI assistance
  • Real-world prompt engineering for development teams
  • Ethical AI integration within Scrum values

Perfect for: Scrum Masters, Product Owners, Development Teams, and Agile Coaches who want to boost productivity while maintaining team collaboration and quality.

Taught by Rod Claar, Certified Scrum Trainer with 30+ years of development experience and specialized AI-Enhanced Scrum methodology.

Search Results

Is Your Scrum Team AI-Ready? The 2026 Checklist Every Agile Coach Needs

By Rod Claar, Certified Scrum Trainer | AgileAIDev.com

Rod Claar 0 1028 Article rating: No rating

AI tool adoption is not the same as AI readiness. Most Scrum teams have developers using Copilot or ChatGPT — but without a shared mental model, visible process integration, or a Definition of Done that accounts for AI-generated work, those individual efforts rarely compound into team-level gains.

This 2026 checklist gives Agile coaches and Scrum Masters a structured framework for evaluating exactly where their team stands. Drawing on 30+ years of software development experience and real-world Scrum coaching, Certified Scrum Trainer Rod Claar breaks AI readiness into five measurable dimensions with 25 specific questions, a scoring guide, and ten quick wins any team can act on immediately — no new tools required.

Why Your AI Agent Fails 97.5% of Real Work — And the Fix Isn't More Code

Published on AgileAIDev.com | By Rod Claar, CST & Principal Consultant

Rod Claar 0 934 Article rating: No rating

Most AI agent projects fail not because of bad code or weak models — they fail because teams aim at the wrong part of the workflow. AI strategist Nate B. Jones argues that real work is only about 2.5% high-judgment "core" decisions, while the other 97.5% is mechanical edge work: data prep, QA, synthesis, handoffs, and packaging. Teams that try to automate the core first stall out fast. Teams that start with the edges — the boring stuff surrounding the valuable work — ship results in days, build organizational trust, and create a proven path toward eventually tackling the core. It's the same principle behind Agile: start small, deliver value fast, and expand from a foundation of demonstrated success. The fix isn't better AI. It's smarter strategy about where you start.

Generative AI For Scrum Teams April 2-3, 2026

Hands-on ways to use tools like ChatGPT and GitHub Copilot to speed up delivery, sharpen collaboration, and keep Scrum human-centered and AI-augmented.

Rod Claar 0 1996 Article rating: No rating

Generative AI for Scrum Teams

Apr 2–3, 2026
Apr 2–3, 2026: Hands-on ways for Scrum Teams to use ChatGPT/Copilot to boost planning, collaboration, and delivery—ethically and responsibly.
RSS

Search

Calendar

«April 2026»
SunMonTueWedThuFriSat
2930311234
567891011
12131415161718
19202122232425
262728293012
3456789

Upcoming events Events RSSiCalendar export

Categories