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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

25 Feb 2026

Lean Software Development April 16. 2026

Author: Rod Claar  /  Categories: Lean Software Development  /  Rate this article:
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Event date: 3/23/2026 2:00 PM - 5:00 PM Export event

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  • Attending: 0
  • Seats: 12
  • Remaining: 12
  • Price: $349.00 - $449.00
$349.00 - $449.00
April 16, 2026 | 9:00 AM – 5:00 PM PST

Course Overview

Lean Software Development focuses on maximizing customer value while systematically eliminating waste. This live session explores Lean thinking as it applies to product development, knowledge work, and complex adaptive systems.

Participants examine flow efficiency, batch size reduction, limiting work in process, fast feedback cycles, and built-in quality practices. The workshop emphasizes practical application—moving beyond theory to measurable improvements in delivery performance.

Key Learning Objectives

  • Understand the seven principles of Lean Software Development
  • Identify waste patterns in software and product workflows
  • Apply flow-based metrics to improve predictability
  • Reduce batch size and work in process for faster feedback
  • Build quality into the development lifecycle
  • Align Lean thinking with Agile and DevOps practices
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20 May 2026

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