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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

5 Jun 2026

Stop Treating AI Like a Search Engine

Stop Treating AI Like a Search Engine

Author: Rod Claar  /  Categories: AI Training, Prompt Engineering  /  Rate this article:
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Most people use AI wrong. Here's the shift that changes everything.

They type a question. They read the answer. They move on.

That's a search engine.

AI is something different.

I made this mistake myself when I first started. I'd ask AI a question, get an answer, and close the window.

Then a colleague watched me work and said:

"You're not having a conversation. You're just Googling with extra steps."

He was right.

Here's the shift.

A search engine retrieves. An AI thinks with you.

When I work with AI now, I treat it like a junior developer on my team.

I give it context. I explain the goal, not just the task. I push back when something doesn't look right. I ask it to explain its reasoning. I iterate.

Try this with your next AI session:

Instead of: "How do I refactor this code?"

Say: "I'm refactoring a C# service class. The goal is to improve testability. Here's the current code. What would you change and why?"

Feel the difference?

That's a thinking partner. Not a search engine.

This is what I teach in my AI courses. The mindset shift matters more than the tools.

👉 Start here: https://agileaidev.com/resources/ai-tips-and-tricks 👉 See all courses: https://agileaidev.com/courses

Have you made this shift yet? What changed when you did? ⬇️

#AI #ArtificialIntelligence #SoftwareDevelopment #Agile #AgileCoaching

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