PHASE 1 Β· Missions 1β4
Foundations
Set up like an AI-native developer. Build, debug, and explain your first real web apps from scratch.
βΆ TINY RPG Β· COMPLETE 12 MISSIONS Β· 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!
βΆ NEW GAME
A tiny RPG of the Sigmaschool 12-week pathway. First read the briefing (itβs short). Then a quick 4-question check unlocks the 16 missions.
Progress saves to your browser
βΆ EVERY MISSION Β· WHAT YOU SHIP Β· 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.
βI can build a web page with HTML and CSS, add interactivity with JavaScript, and deploy it live.β
Start from zero. Build a personal landing page with your details, add a JavaScript interaction, then track your changes with GitHub and ship it live on Vercel.
βI can render data from JavaScript, respond to user input, and update the UI dynamically.β
Build an interactive job board from scratch. Load job data with JavaScript, wire up search and filtering, and render the results live as the user types.
βI can read error messages, trace bugs, and fix a broken app.β
You get a broken app. Find and fix every critical error so it loads and runs, then host it live on Vercel.
βI can build a small interactive app that reads, updates, and filters data.β
Build a habit tracker from scratch. Load habit data, let users update their habits, and add filtering β then ship the finished app.
βI can build a React app that fetches live API data and responds to user interaction.β
Build a movie search app with React. Connect to a real API, handle search and user interaction, then polish the UX before shipping.
βI can build a modern React + Next.js app with search, filtering, and auth-protected routes.β
Build a real dashboard with reusable components, add search, filter, and sort controls, then lock it behind authentication.
βI can connect a frontend to a real database and perform full CRUD.β
Build the full data loop β set up a database, add create and update, then wire in delete and ship.
βI can build a private, multi-user app where each user only sees their own data.β
Build a private journal β set up auth, store entries in the database, then add editing so users can update their own notes.
βI can add an AI-powered feature into a real product and evaluate its output quality.β
Embed a real AI feature into a product. Build the UI, connect to the AI API, improve the prompt, and finalize the UX.
βI can direct an AI coding agent through a full spec-to-deploy cycle.β
Direct an AI coding agent through one full ship cycle β write the spec, review the generated plan, then deploy and handle rollbacks.
βI can take a product idea, scope it into an MVP, and build a working first version.β
Your capstone. Plan your product, set up the structure, build the core features, then finalize the experience and ship.
βI can present my work, explain my decisions, and show job-readiness proof.β
The final mission. Polish your project work, build your developer profile, then prepare your job search and interview readiness.
βI can debug a real codebase independently, with no AI, under time pressure.β
No AI allowed. A proctored session β OBS recording running the whole time, one monitor, starter code with hidden bugs. Find them, fix them, explain your reasoning.
βI can build a tool-using AI agent inside a real product with state, loops, and failure handling.β
Build a farm game with a real AI agent inside it. Start with the seed shop and database, add planting and growth tracking, then integrate the AI care system.
βI can turn an AI-generated mess into clean, maintainable architecture.β
You inherit a messy AI-generated codebase. Fix what is broken, then clean and restructure the code into something maintainable.
βI can make a working app safe and reliable enough for real users.β
Harden an app for real users. Investigate security and access control, then improve data handling and structure before shipping.
βΆ 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 canβt explain it, you canβt 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 youβre Job-Ready - plan for about 25 hours a week over 12 weeks, or 14 hours a week over ~24 weeks.
βΆ THE ARC Β· 5 PHASES
PHASE 1 Β· Missions 1β4
Set up like an AI-native developer. Build, debug, and explain your first real web apps from scratch.
PHASE 2 Β· Missions 5β8
Move from static pages to full-stack apps with APIs, frontend frameworks, databases, and authentication.
PHASE 3 Β· Missions 9β10
Ship and evaluate real AI features - then direct AI coding agents like a junior engineer.
PHASE 4 Β· Missions 11β12
Scope, build, and present your capstone MVP as a complete job-ready portfolio package.
PHASE 5 Β· Missions 13β16
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.
βΆ 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.