Core
Theo Browne
Understand generative AI deeply enough to reason beyond current tools.
models → context → knowledge → harnesses → workflows
View 5 lessonsIndependent study guide
Oct 26 – Nov 22, 2026
MEGA program format, from the supplied outline: 4 weeks · 20 lessons · one per day Mon–Fri; each lesson = video + written companion + real repo; one live workshop per week (60–90 min + Q&A)
20 independently written lessons with explanations, worked examples, practice, answered review questions, and citations to public material.
Theo Browne
Understand generative AI deeply enough to reason beyond current tools.
models → context → knowledge → harnesses → workflows
View 5 lessonsAngie Jones
Design and build a specialized agent with tools, skills, and boundaries tailored to its job.
primitives → building → capabilities → collaboration → reliability
View 5 lessonsKent C. Dodds
Direct AI toward meaningful system changes and verify what ships.
product mechanics → intent → development → verification → learning
View 5 lessonsJohn Lindquist
Build autonomous systems that operate, recover, and improve over time.
autonomy → portability → orchestration → automation → self-improvement
View 5 lessonsCurriculum architect (no lessons of his own listed)
Lesson titles, dates, topic lists, week goals/progressions/promises are verbatim from mega.dev. Per-lesson goals and exercises are INFERRED (MEGA has not published lesson bodies; course materials are paid).