
Working with AI Coding Agents
373 pages | 6 parts | 18 chapters
Develop the collaboration method for planning, directing, reviewing, debugging, and iterating.
Explore the Book
Direct AI coding agents with clarity and informed supervision
Learn how to translate intent into requirements, guide implementation in manageable steps, inspect the result, test important behavior, and remain accountable for what is built.
Your professional outcome
This Path develops the working relationship between a non-programmer and an AI coding agent. You do not need to write every line manually. You do need to own the goal, context, quality standard, and decision-making process.
Why this Path matters
Coding agents can create convincing software quickly. They do not automatically understand unstated constraints or guarantee that a change is correct, secure, maintainable, or aligned with the product. Informed supervision keeps speed connected to quality.
You are building the ability to plan, direct, review, and improve AI-assisted software work.
What you learn
Prepare context, requirements, constraints, and acceptance criteria.
Ask an agent to inspect existing work before changing it.
Break features into reviewable increments.
Review behavior and architecture, not only visible output.
Test changes and report failures precisely.
Manage scope and complexity across iterations.
Recognize when specialist engineering or security review is needed.
The Books in this Path
Build depth in each subject, then connect what you learn through Building with AI Coding Agents.

373 pages | 6 parts | 18 chapters
Develop the collaboration method for planning, directing, reviewing, debugging, and iterating.
Explore the Book
417 pages | 6 parts | 18 chapters
Build the conceptual map required to understand components, data, services, integrations, and tradeoffs.
Explore the BookHow the Books connect
One Book explains how to collaborate. The other explains what is being changed. Together they help you move from issuing commands to supervising a software-building process.
Who this Path is for
Non-programmers, product professionals, designers, founders, consultants, and operators who want to build software with AI or work more effectively with technical teams.
Professional applications
Career connection
This is BUILD’s central collaboration Path. It supports later application development, strengthens automation implementation, and prepares working software for launch.
Explore the CareerYour transformation
You should be able to establish productive context with a coding agent, direct incremental work, verify essential behavior, and keep the result aligned with the intended product.
A clear progression from learning individual skills (books) to building complex abilities (learning paths and academies) and an entire career around them.
A group of books builds learning paths; a group of learning paths builds Academies; and a group of Academies builds the AI Strategist & Builder Career.
Learn a specific skill or topic
Achieve a specific goal
Master a specialty
Become an AI Strategist & Builder
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