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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

28 May 2026

50 Years of Tools, One Constant

50 Years of Tools, One Constant

Author: Rod Claar  /  Categories: AI and Scrum  /  Rate this article:
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My first "productivity tool" was a pencil and a clipboard.

I was 22. Working the floor of a lumber yard in 1972. Counting board feet. Writing up customer orders by hand. The clipboard never crashed. The pencil never needed an update.

I didn't touch a computer until the late 1980s.

By the mid-90s I was writing C and C++. By 2005 I was leading a core development team building retail software. By 2008 I had my own training company teaching Scrum.

Now, in 2026, I use AI every single day. To write code. To review code. To plan workshops. To find gaps in my own thinking.

The tools have changed completely. Four times over, maybe five.

But one thing has never changed.

The people who do the best work are the ones who think clearly about the problem before they reach for a tool.

In the lumber yard, the best salespeople listened first. They didn't just quote prices. They asked what you were building.

The best developers I've trained do the same thing. They define the problem before they open an IDE. They write a test before they write code. They ask the AI a good question before they accept its answer.

The tool is never the point.

The thinking is.

Whatever tools come next — and they will — that won't change.

Explore AI-enhanced development at 👉 https://agileaidev.com/resources/ai-tips-and-tricks See our full course catalog: 👉 https://agileaidev.com/courses

#Agile #ArtificialIntelligence #SoftwareDevelopment

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