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Design Patterns for Real Software Teams

Practical patterns you can apply immediately—so your team can design cleaner systems, reduce rework, and scale maintainably without over-engineering.

Who it’s for

Developers and technical team leads who want shared, repeatable design decisions that improve readability, testability, and long-term maintainability.

Path Steps: Design Patterns for Real Software Teams

Work top-to-bottom. Each step links to an EasyDNNNews article/video item and includes a quick “do this” to make it stick.

7 Steps

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24 Feb 2026

Step 1 — What Patterns Really Solve (and When They Don’t)

This step reframes design patterns as responses to recurring design forces, not reusable templates or universal best practices.

A design force is a structural pressure in your system—often driven by business change, technical constraints, team structure, quality goals, or long-term evolution. These forces show up as friction: brittle tests, ripple effects from small changes, conditional sprawl, tight coupling, or slow feature delivery.

The key discipline is learning to detect recurring tension before introducing abstraction.

You identify forces by:

  • Observing repeated pain across sprints

  • Analyzing change frequency and co-changing files

  • Watching for conditional explosion

  • Examining test friction and isolation challenges

  • Noticing ripple effects from minor changes

  • Recognizing cognitive overload or hesitation to modify code

Only after clearly naming the force should you evaluate patterns. Each pattern optimizes for one side of a tension while introducing cost—indirection, complexity, more types, and cognitive overhead.

The core exercise is simple but rigorous:

“Because we need ______, we are experiencing ______.”

If you cannot state the force precisely, introducing a pattern is architectural guesswork.

Mastery is not knowing many patterns.
It is recognizing when a recurring force justifies their trade-offs.

Author: Rod Claar
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Software Design Patterns

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3 Feb 2026

Get Started With AI Prompt Engineering -April 15. 2026

Author: Rod Claar  /  Categories: Prompt Engineering  /  Rate this article:
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Event date: 4/15/2026 3:00 PM - 6:00 PM Export event

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Wed • April 15, 2026 1:00 PM – 4:00 PM PST

Course overview

Prompt engineering is the foundation of effective AI use. You’ll learn how prompts work, then practice techniques to refine and adapt prompts for stronger, more consistent outcomes—including a hands-on prompting lab using mock and real-life scenarios. :contentReference[oaicite:0]{index=0}

Who it’s for

Built for people introducing AI to teams, scrum masters/agile coaches, product owners, and agile/product teams who want more accurate, useful, goal-aligned AI outputs. :contentReference[oaicite:1]{index=1}

Key learning objectives

Explain how generative AI works and how prompts influence outputs. :contentReference[oaicite:2]{index=2}
Apply core principles to write clearer, more effective prompts and refine them for better results. :contentReference[oaicite:3]{index=3}
Use a prompting framework to customize AI outputs for specific tasks and team workflows. :contentReference[oaicite:4]{index=4}
Practice in a prompting lab using realistic scenarios to build repeatable prompting habits. :contentReference[oaicite:5]{index=5}
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