PHASE 1 · Missions 1–4
Foundations
Set up like an AI-native developer. Build, debug, and explain your first real web apps from scratch.
▶ TINY RPG · COMPLETE 12 MISSIONS · BECOME JOB-READY
Imagine this is you. A tech newbie with a laptop, wifi and a Sigmaschool enrollment. 12 missions stand between you and becoming job-ready. Each one you prove you can build + explain without leaning on AI. Mastery-based learning, not time-based learning. Have fun!
▶ NEW GAME
A tiny RPG of the Sigmaschool 12-week pathway. First read the briefing (it’s short). Then a quick 4-question check unlocks the 16 missions.
Progress saves to your browser
▶ EVERY MISSION · WHAT YOU SHIP · WHAT PROVES IT
The same curriculum the cohort walks every week. Checkpoints are the chapters inside each mission; the lesson counts come from the full programme curriculum.
“I can set up my tools, write basic code, deploy my work, use AI properly, and explain what I built.”
Start from zero with just a laptop. Set up your AI-native dev tools, build your first web page, and deploy it live so anyone can open the link.
“I can think through code logic.”
Learn the core of JavaScript. Work through logic puzzles, then prove you can solve them without leaning on autocomplete.
“I can find and fix broken code.”
You get a broken task-tracker app. Reproduce the bugs, find the root cause of each, fix them - and document how you did it.
“I can build a small interactive app from scratch.”
Take everything from the first three missions and combine into one shipped interactive app - the foundation for everything after.
“I can connect my app to external data from the internet.”
Make your app talk to the internet. Fetch real-world data from an API - and handle the times the network fails.
“I can build a modern frontend app with React, Next.js, and TypeScript basics.”
Learn how modern frontends are built - components, props, state, and routes - the mental model behind React and Next.js.
“I can connect a frontend app to a real database and perform CRUD.”
Build the full-stack data loop - the frontend writes, the database remembers, the frontend reads, and the UI updates.
“I can build an app where users log in and only access their own data.”
Build an app where users log in and only see their own data - protected by row-level security.
“I can add an AI-powered feature into a real product and explain the AI flow responsibly.”
Embed a real AI feature into a real product, then evaluate it like a product team - not as a magic trick.
“I can direct an AI coding agent through a full ship cycle.”
Direct an AI coding agent through one full ship cycle - spec → plan → diff review → preview → deploy. You stay the engineer in charge.
“I can take a vague product idea, scope it into an MVP, and build a working first version.”
Your capstone. Take a vague idea, scope it down to an MVP, ship something real, and explain it clearly.
“I can present my work, explain my technical decisions, and show job-readiness proof.”
The final mission. Polish the capstone, build your portfolio and case studies, clean up GitHub, prepare your resume and LinkedIn, record demos, run mock interviews, and ship a 30-day job-search plan.
“I can debug a real codebase independently, with no AI, under time pressure.”
No AI this time. Four hours, five planted bugs, no autocomplete, proctored. Prove you can think without your companion.
“I can build a tool-using agent with a real loop and failure handling.”
Build a tool-using AI agent - with a real loop, a stop condition, retries, logs, and tested failure modes.
“I can turn an AI-generated mess into clean, maintainable architecture.”
You inherit a messy AI-generated codebase. Refactor it into clean architecture - with tests as a safety net and a plan before you touch the code.
“I can make a working app safe enough for real users.”
Harden an app for real users. Secrets, error handling, monitoring, logging, rate limits, backups, deploy checks - then run a simulated incident from your runbook.
▶ HOW IT REALLY WORKS
Every mission ships something real - a GitHub repo, a live link, and a Loom where you explain what you built. The rule is simple: if you can’t explain it, you can’t submit it. You learn at your own pace, with live Buildrooms every evening, Unblock Hours in the morning, and Discord 24/7. Finish all 12 missions with proof you can defend and you’re Job-Ready - plan for about 25 hours a week over 12 weeks, or 14 hours a week over ~24 weeks.
▶ THE ARC · 5 PHASES
PHASE 1 · Missions 1–4
Set up like an AI-native developer. Build, debug, and explain your first real web apps from scratch.
PHASE 2 · Missions 5–8
Move from static pages to full-stack apps with APIs, frontend frameworks, databases, and authentication.
PHASE 3 · Missions 9–10
Ship and evaluate real AI features - then direct AI coding agents like a junior engineer.
PHASE 4 · Missions 11–12
Scope, build, and present your capstone MVP as a complete job-ready portfolio package.
PHASE 5 · Missions 13–16
Optional proof for stronger candidates - independent debugging, tool-using AI agents, maintainable architecture, and production readiness.
The stack you'll ship with
Same tools your future team is already using. Logos below are the ones you'll see across the 16 missions - from the first deploy to the capstone.
▶ READY?
Same 16 missions, same proof, same Job-Ready outcome - but with a live cohort, daily Buildroom, Unblock Hours, and a mentor watching your back.