A free, production-minded curriculum for people who want to vibe code, understand the code, and turn useful ideas into systems they can actually operate.
Turn natural-language direction into working software without surrendering architecture, security, testing, or ownership to the model.
Leave with a production-ready repository, a repeatable agent workflow, a review checklist, an acceptance suite, and a release process you can explain and operate.
Learn the parts of programming that make AI-generated code understandable: the browser, data, logic, state, Git, databases, errors, and deployment.
Leave able to inspect a small web application, trace data through it, diagnose common failures, review an agent's changes, and describe the system in plain language.
Understand how a polished interface, application logic, data, authentication, APIs, integrations, analytics, and infrastructure fit together.
Leave with the architecture, API contract, data model, release plan, and quality gates for a focused production web application.
Build AI features around a real workflow with explicit knowledge, tools, evaluations, human controls, observability, and a safe release path.
Leave with an AI system specification, evaluation set, tool contract, risk register, launch gate, and operating scorecard.
Build an organic acquisition system that connects visibility to qualified calls, estimates, close rate, and booked work.
Leave with a measured 90-day search plan, a service-and-market architecture, an evidence standard, and a scorecard the operating team can run every month.
Create a governed local-search system across locations, profiles, reviews, pages, operators, and market reporting.
Leave with a location governance model, market evidence standard, scalable page specification, and reporting layer for comparing markets fairly.
Design an intake system that answers, qualifies, schedules, updates the CRM, and escalates with human judgment intact.
Leave with an intake map, business case, knowledge boundary, escalation policy, acceptance tests, and launch scorecard.
Take a course on its own or follow a sequence. Every module ends with an artifact, not a completion badge.
Start with vibe coding, learn the foundations, then connect interfaces, data, APIs, and production delivery.
Move from prototypes to evaluated systems with bounded tools, human controls, and an operating cadence.
Build the search, local evidence, conversion, intake, and measurement layers behind compounding demand.
Use the lesson to frame the decision, then inspect the assumptions against your operation.
Produce the artifact. The assignment is the value—not a completion badge.
Bring the artifact to your team, office hours, or the studio and make the next operating decision.
