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Learning Path

AI on a Development Team

Who it’s for: Developers, testers, and tech leads who want practical, sprint-ready ways to use AI to build faster without sacrificing quality.

Outcomes

  • Use AI to turn vague work into clear, testable stories and acceptance criteria the team can build from.
  • Accelerate coding with guardrails: prompts that reinforce TDD, code review quality, and consistent patterns.
  • Improve delivery reliability by using AI for risk surfacing, edge cases, and “definition of done” readiness checks.

Path Steps

Work through these steps in order. Each one links to a specific EasyDNNnews article/video post.

8 steps
1
Step 1: How AI fits into a dev team (without chaos)

You’ll learn where AI helps most (planning, building, testing, reviewing) and how to keep the team in control.

Do this List 3 recurring “time sinks” in your sprint and pick one to target with AI assistance first.
5
Step 5: Code generation with guardrails

You’ll learn how to constrain AI output to your architecture, conventions, and security requirements.

Do this Create a “project rules” snippet (stack, patterns, naming, linting) and reuse it in every coding prompt.
7
Step 7: Test data, mocking, and troubleshooting with AI

You’ll learn how to generate realistic test data and isolate failures faster with structured debugging prompts.

Do this Paste a failing test + stack trace and ask AI for the top 3 hypotheses with “how to prove/kill each.”

Steps - Free

Steps - Members

 
 
✓ Featured Content

AI Coding Videos

A curated playlist of specific YouTube content.

Search Results

20 Jan 2026

AI-Enhanced Scrum: Transforming Agile Development with AI - March 25-27

Author: Rod Claar CST  /  Categories: Certified Scrum Developer  /  Rate this article:
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Event date: 3/25/2026 - 3/28/2026 Export event

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$749.00 - $949.00

AI-Enhanced Scrum: Transforming Agile Development with AI

Artificial Intelligence is rapidly changing how modern software teams design, plan, and deliver products. AI-Enhanced Scrum shows how to integrate practical AI tools directly into your Agile workflow so teams can generate specifications faster, automate development tasks, and improve collaboration.

In this immersive three-day workshop, you will learn how to combine the proven structure of Scrum with emerging AI capabilities. The course demonstrates how AI can assist with backlog refinement, technical specification generation, development workflows, and overall team productivity.

By the end of the class, participants will understand how to apply AI tools in real Scrum environments and create development workflows that significantly accelerate delivery while maintaining Agile principles. :

Key Learning Objectives

  • ✅ Understand how AI is transforming modern Agile software development
  • ✅ Integrate AI tools directly into Scrum workflows
  • ✅ Generate technical specifications and development artifacts with AI assistance
  • ✅ Improve backlog refinement, planning, and estimation with AI support
  • ✅ Automate repetitive development tasks to increase team productivity
  • ✅ Apply practical techniques to accelerate delivery while maintaining Agile principles
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20 May 2026

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