A Developer's Guide to Judgment, Trust, and Agency in the Age of AI: 10 evidence-based practices and methodology

Most AI development content teaches tools. This course teaches a methodology. Asymmetric Collaboration is a conceptual framework that reframes the humanAI relationship accurately: Humans and AI do not contribute the same things at different levels. They contribute fundamentally different things, and the collaboration only works when both sides are understood clearly.
This course is built on about 100 days of documented, real-world AI-assisted software development, 500+ commits, development journals, dual-perspective session logs, and quantified productivity metrics. The result: 10 transferable practices organized into four progressive layers, each grounded in specific project evidence, including the failure cases that generated the practices in the first place.
Learners leave with a structured framework they can apply immediately: a way to communicate intent precisely, verify AI outputs systematically, maintain human judgment where it matters, calibrate trust based on evidence, and protect their agency as AI handles more execution. The methodology is tool-agnostic. Whether learners use GitHub Copilot, Claude, ChatGPT, or any successor, the 10 practices apply. .
Skill Level
⚡ Intermediate
Learn How To
⚡ Apply the Asymmetric Collaboration framework to any AI development workflow
⚡ Communicate intent precisely so AI output reflects what you actually need
⚡ Run incremental verification cycles that prevent compounding AI errors
⚡ Maintain human judgment on architectural and consequential decisions while delegating execution to AI
⚡ Build and maintain a trust calibration record for AI outputs by domain and error type
⚡ Surface AI misalignment early before it becomes expensive to correct
⚡ Identify and protect explicit decision points that AI velocity tends to bypass
⚡ Produce context-enriched deliverables that transfer knowledge AI cannot infer
⚡ Sustain professional agency and craft across an extended AI-assisted collaboration
Course requirement
Individuals should have knowledge and experience with
⚡ Professional experience in software development or a knowledge-work domain (technical writing, analysis, localization)
⚡ Familiarity with at least one AI coding assistant or generative AI tool (any: GitHub Copilot, Claude, ChatGPT, Cursor, etc.)
⚡ No specific programming language is required; examples are language-agnostic
⚡ No academic background in AI required; the methodology is practitioner-facing
Who Should Take This Course
Primary Audience
⚡ Software developers and engineers who are already using AI coding assistants and finding that productivity gains come with new forms of friction, quality risk, and loss of clarity about who is really making decisions. They know how to code. What they need is a structured framework for collaboration, not more prompting tips.
Secondary Audience
⚡ Technical leads, architects, and senior contributors who are evaluating AI integration for their teams and need a methodology grounded in documented evidence rather than vendor claims or speculation. Also valuable for knowledge workers in adjacent fields, technical writers, localization specialists, analysts who are adopting AI tools and want a principled approach to maintaining quality and judgment.
About Pearson Video Training
Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que. Topics include IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at
https://www.informit.com/video.
Video Lessons are available for download for offline viewing within the streaming format. Look for the green arrow in each lesson.

Homepage

https://www.oreilly.com/videos/a-developers-guide/9780135992272/

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