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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

24 Feb 2026

Step 1: Understand what “Developer” means in Scrum (and what it does not)

Author: Rod Claar  /  Categories: Software Developer Learning Path  /  Rate this article:
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What “Developer” Means

A Developer is accountable for:

  • Creating a usable Increment each Sprint

  • Meeting the Definition of Done

  • Adapting the Sprint Backlog daily

  • Holding each other accountable as professionals

Designers, testers, analysts, architects—if they contribute to the Increment, they are Developers in Scrum.

Scrum optimizes for flow to Done, not role silos.


What “Developer” Does Not Mean

It does not mean:

  • “The person who writes code only”

  • “Someone who waits for instructions”

  • “QA is separate from Developers”

  • “Only seniors decide technical direction”

These are anti-patterns that fragment ownership and slow delivery.

When work moves between functional silos, flow degrades.


Common Anti-Patterns That Kill Flow

  1. Mini-waterfall inside the Sprint
    Dev → QA → Rework

  2. Specialist bottlenecks
    One person owns testing, automation, or deployment.

  3. Partial ownership
    “My task is done” vs. “The Increment is Done.”

Scrum requires shared accountability for outcomes.


Practical Diagnostic

If your Sprint ends with:

  • Stories “almost done”

  • Testing deferred

  • Integration incomplete

The team is likely operating with role boundaries instead of shared Developer accountability.


Exercise

  1. Write your team’s top 3 Developer responsibilities.

  2. Compare them to your current working agreements.

  3. Identify gaps between:

    • What Scrum expects

    • What your team actually practices

If responsibilities do not clearly support producing a Done Increment every Sprint, adjust your agreements.

Clarity here improves throughput immediately.

 

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