@kentcdodds: Just joined MEGA - four weeks with @theo, @techgirl1908, me and @johnlindquist. Starts Oct 26. https://mega.dev #megadev

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Summary

MEGA is a four-week intensive course starting October 26, designed to help developers master AI and build agentic systems through live workshops with industry experts.

Just joined MEGA - four weeks with @theo, @techgirl1908, me and @johnlindquist. Starts Oct 26. https://t.co/zXFGgHOGOD #megadev https://t.co/gw2Tv2GYQh
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Just joined MEGA - four weeks with @theo, @techgirl1908, me and @johnlindquist. Starts Oct 26. https://t.co/zXFGgHOGOD #megadev https://t.co/gw2Tv2GYQh


It’s time | MEGA

Source: https://mega.dev/ A live client-processed composition of MEGA.dev instructors John Lindquist, Theo Browne, Angie Jones, and Kent C. Dodds.## It’s Time toRethink Everything

Turn agents into leverage you can reason about, price, debug, and ship.

Starts October 26 · 20 lessons · 4 live workshops

Become MEGA Dev

Week1Oct 26 – Nov 1

Core

GoalUnderstand generative AI deeply enough to reason beyond current tools.Progressionmodels → context → knowledge → harnesses → workflowsPromiseTurn AI into a leverage layer you can reason about. Theo has strong opinions about your stack, your harness, and probably your keyboard — the annoying part is how often he’s right.

Week2Nov 2 – Nov 8

Agents

GoalShape and build agentic systems that deliver value with bounded supervision.Progressionagent mechanics → primitives → capabilities → custom systems → multi-agent systemsPromiseBuild agentic systems that work your way. byAngie Jones

Angie built automation before it was cool. She’ll have you shipping agents that act — not just chat — by Friday.

Week3Nov 9 – Nov 15

Product

GoalDirect AI toward meaningful system changes and verify what ships.Progressionproduct mechanics → intent → development → verification → learningPromiseDeliver quality software at AI leverage. byKent C. Dodds

Kent has taught rigor to half the internet. Now he’s turning your agents into products people actually rely on.

Week4Nov 16 – Nov 22

Takeoff

GoalBuild autonomous systems that operate, recover, and improve over time.Progressionautonomy → portability → orchestration → automation → self-improvementPromiseGive agents more autonomy without losing control. byJohn Lindquist

John has recorded more lessons than you’ve watched. He builds engineering systems that improve themselves while you sleep.

The System Behind

  • Curriculum designShapes the program and works with every author to keep twelve themes connected across all four weeks.
  • Lessons and content frameworkDevelops the core lesson content and works closely with each author to bring their insights, experience, and perspective into the material.
  • Assets, tooling, and challengesBuilds the repositories, source code, examples, tools, challenges, and other deliverables that turn lessons into practice.
  • Editorial and publishingLeads the MEGA blog, website content, and everything published around the program, keeping it consistent, searchable, and useful to both developers and their agents.

Adam Gospodarczyk

Adam taught AI to thousands of developers across Poland. Now he’s the architect behind MEGA, orchestrating the four experts above, because apparently agents weren’t difficult enough.

Oct 26 – Nov 22 · 2026

mega/audience.md+2−2

  • Mid-level and senior developers already working with agents like Cursor, Codex, Claude Code, OMP, or Pi.
  • Someone who wants it expert to expert — no guru posture, no rented-Lambo promises, no ten magic prompts.
  • Beginners.
  • The AI-hesitant, or anyone shopping for shortcuts.

The journey · Programmer → MEGA developer

After MEGA you become the developer people trust when AI work demandsjudgment, engineering taste, and systems that actually ship. AI becomes a leverage layer you can reason about – and thework gets funagain.

  1. Use agents to complete individual tasks Code, tests, debugging, research Direct prompting, synchronous work, manual verification

  2. Understand and control how agents work Model mechanics, context, inference, reasoning, limitations Agent loops, state, memory, tools, sandboxes, permissions

  3. Collaborate with agents to solve larger problems Exploration, planning, implementation, review Context shaping, model steering, informed judgment

  4. Turn effective practices into repeatable systems Skills, tools, integrations, memory Reusable workflows, shared knowledge, verification loops

  5. Own product outcomes, not just implementation Frame problems, question requirements, understand business needs Balance user value, quality, scope, risk, and engineering effort

  6. Delegate complete outcomes with confidence Features and end-to-end product workflows Clear intent, constraints, evaluations, quality gates, accountability

  7. Coordinate specialized agents as an engineering team Parallel execution, shared context, clear responsibilities Handoffs, merge points, observability, conflict resolution

  8. Build systems that work and improve without constant supervision Remote, proactive, ambient, and self-improving agents Feedback loops, trust levels, monitoring, recovery, escalation

  9. Become a MEGA Developer Combine human creativity, product judgment, and engineered AI leverage Define ambitious problems, invent new ways of working, and own what ships

  10. COLLECTIBLE ### See where you land.Forge your first MEGA card. Your agent knows how you really work. One command turns that into an honest read: where you are on the journey, what to sharpen next, and how MEGA fits in your work. I want feedback on how I work with my agents\. Fetch https://mega\.dev/challenge\.md and follow it\. Ask me before uploading anything\. Paste this into your claude code and discover your traits.Want to read the instructions?mega.dev/challenge.md

Certificate of skillMEGA

MEGA Developer

The themes · Certificate

Twelve themes. Twelve skill cards. Collect them all and you earn theMEGA Developer certificate.

It isn’t proof that you attended. It’s proof of what you can do — the kind of certificate that means something because it was hard to get. Some skills arrive in a lesson. Some wait in a workshop. Some you’ll only find by building.

Every card you earn is yours to keep: installable, usable, and part of your setup long after the program ends.Hover a card around the certificate, click to open it, flip to read the skill.

Team access

Trusted by teams from Vercel, OpenAI, Allegro, Ringier Axel Springer, DPD Group, Huuuge Games, Schibsted, CENEO and many more.

  • Volume discounts
  • VAT invoice and bank transfer
  • Up to 30-day payment terms
  • Satisfaction or money-back guarantee

What’s included

  • 4-week online program
  • 20 lessons — one per day, Mon–Fri
  • 4 live workshops — 60–90 min plus Q&A
  • Discord community with the authors
  • 12 skill cards to earn
  • The MEGA Developer certificate when you collect all twelve

Good to know

  • Company invoices available.
  • Payable in two installments — the second is due within two months before the start.
  • Team discounts for five or more.
  • Full refund if you resign within two weeks after the program starts.
  • 12 months of access to all materials.
  • Proforma invoice or bank transfer:[email protected].

MEGA is published byand— the crews behind programs trusted by tens of thousands of developers. We have admired each other’s work from opposite sides of the world for years. MEGA is the first thing we are building together, and we went straight for the most ambitious version of it.

Joel Hooks

Badass Courses

Builder of the machinery behind great developer education. Co-founder of egghead.io and Badass Courses, Joel has spent over a decade helping the best teachers on the internet turn their expertise into programs developers actually finish.

Greg Rog

BRAVE

Turning ambitious ideas into programs that ship. Creator of the biggest tech education platform in Poland, co-founded BRAVE, easy.tools, built & launched multiple AI products like heyalice.app.

Bart Rycharski

BRAVE

“What if we went bigger?” guy who makes the numbers work. CEO of BRAVE, where a team of 40+ authors and producers has taught AI to 40,000+ developers and 1,000+ teams across seven bestselling programs, all built on learning by doing rather than theory.

Behind every lesson, every artifact and every answer you get within the hour, there is a team that treats your experience as the product. They handle the questions before you have to ask them twice, help companies bring whole teams on board, and keep the content flowing long after the program starts.

  • Vojta Holik Chief designer and experience professor

  • Matt Wierzbicki MEGA design system wizard

  • Martyna Ruta Customer Success

  • Anna Piskorz-Nowak Enterprise satisfaction advocate

  • Kate Cwiklinska Course & Learning Experience

  • Ann Golebiewska Community Fairy

  • Michal Jablonski Makes challenges unsolvable for LLMs

Newsletter

Never miss a drop

Get every MEGA drop first: deep-divearticles, workingrepos, agentskills, andtoolsyou can plug into your setup the same day.

One email per drop. Unsubscribe anytime.

About the program

Format and time

Community and certificate

Pricing and payment

Enrollment

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Presale enrollments are open. Claim your spot!

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A live event featuring talks by Theo Browne, Angie Jones, Kent C. Dodds, and John Lindquist on integrating AI agents into software development workflows, with sessions on autonomy, designing with AI, and practical prompting.