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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

Engineering Agent Teams: Architecting Claude Code Agent Teams for Parallel Engineering - Pacific Time - March 31, 2026

Author: Rod Claar CST  /  Categories: Agent Teams, AI Skills  /  Rate this article:
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Event date: 3/31/2026 4:00 PM - 7:00 PM Export event

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Engineering Agent Teams March 31, 2026

Architecting Claude Code Agent Teams for Parallel Engineering — live, hands-on session March 31, 2026.

March 31, 2026 | 2:00 PM – 5:00 PM PST

Course Overview

Engineering Agent Teams is a practical, architecture-focused workshop on designing and orchestrating Claude Code agent teams to enable parallel engineering workflows. Learn how to structure specialized agents, coordinate task execution, and integrate human oversight for scalable AI-assisted development.

This session emphasizes system design patterns, role-based agent decomposition, workflow orchestration, and production considerations for high-leverage engineering teams.

Key Learning Objectives

  • ✅ Design role-based Claude Code agent architectures for parallel development
  • ✅ Decompose complex engineering work into coordinated agent workflows
  • ✅ Implement orchestration strategies for task routing and delegation
  • ✅ Integrate human-in-the-loop controls for quality and governance
  • ✅ Apply production-ready patterns for scaling AI-assisted engineering teams
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20 May 2026

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5 Mar 2026

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10 Nov 2025

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