Understand the work
Clarify the user, outcome, constraints, and evidence of success before asking an agent to code.
Plan, build, review, and ship production-quality software with AI coding agents.
A practical cohort for developers and technical founders who want AI to accelerate their work without turning their codebase into a pile of expensive shortcuts.
The problem
The outcome
The goal is not to watch me build. It is to strengthen the decisions you make before, during, and after the agent writes code.
Clarify the user, outcome, constraints, and evidence of success before asking an agent to code.
Map boundaries, interfaces, data flow, and small vertical slices that keep the work understandable.
Give AI tools the right repository knowledge, examples, and constraints at the moment they need them.
Use tests, runtime evidence, review, and deliberate skepticism to find confident answers instead of plausible ones.
Close the loop with release checks, feedback, and a reusable personal engineering system.
Is it for you?
Questions
You should be comfortable reading and changing code, but you do not need to be an AI specialist. The course is designed to strengthen your engineering process as you work with AI tools.
The ideas are tool-independent. Examples may use modern coding agents, but the planning, context, testing, and review techniques transfer across tools.
Recording and access details will be confirmed with the cohort schedule before enrollment opens.
Join the waitlist to be the first to receive the cohort schedule, pricing, and enrollment details when they are ready.
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