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Live learning platform

Full-stack development internship

Build software. Prove mastery.

A production pathway from first commit to deployed application.

Codecamp Advantage combines explicit instruction, real development work, targeted AI support, and durable evidence of what each learner can do.

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Production dashboardLive
Codecamp Advantage production curriculum dashboard
4
Curriculum phases
20
Learning modules
106
Guided lessons

Mastery Advantage — complete vertical slice

The first Advantage app to implement Mastery Advantage end to end.

Codecamp Advantage turns learning activity into an auditable mastery loop. Objectives, evidence, support usage, confidence, and review history stay connected instead of disappearing into a completion percentage.

  1. 01

    Versioned objectives

    Every lesson maps to a defined objective and curriculum version.

  2. 02

    Verified evidence

    Activities record what the learner produced and which variant they completed.

  3. 03

    Scaffold-aware confidence

    Mastery signals account for hints and support instead of treating all completions as equal.

  4. 04

    SRS follow-up

    Review scheduling and the instructor ledger keep mastery visible over time.

Production curriculum

20 modules. One coherent engineering journey.

The pathway moves from development foundations through modern full-stack delivery, then applies the same disciplined workflow to AI development and game creation.

Newly assigned cohorts receive this 20-module pathway. Existing cohorts keep their assigned sequence so their progress is never silently rewritten.

Phase A6 modules

Foundations

Set up professional habits and learn the language of the web.

  1. 01Development environment
  2. 02Git and GitHub
  3. 03HTML and CSS
  4. 04JavaScript fundamentals
  5. 05TypeScript
  6. 06Testing with Vitest
Phase B4 modules

Frontend and APIs

Build responsive interfaces and connect them to application data.

  1. 01React
  2. 02API fundamentals
  3. 03Next.js foundations
  4. 04Advanced Next.js
Phase C3 modules

Backend and data

Design persistent, secure, typed application behavior.

  1. 01Databases and ORMs
  2. 02tRPC and server actions
  3. 03Authentication
Phase D7 modules

Production practice

Ship, measure, and extend real systems with accountable AI workflows.

  1. 01Internationalization
  2. 02AI integration
  3. 03Monorepos and packages
  4. 04Cloud and Docker
  5. 05Measure-Driven AI Development
  6. 06Real-world practice
  7. 07Advantage Play Kit Game Creation
Module 16

Measure-Driven AI Development

Learners move from a written specification to an implementation plan, atomic delivery, verification evidence, and honest closeout.

Measure lesson inside the live Codecamp Advantage application
Unit 20

Advantage Play Kit Game Creation

The final unit applies the workflow to a complete browser game: define the learning contract, build the experience, test it, and package evidence for review.

SPEC → PLAN → BUILD → VERIFY → SHIP

Production toolchain

Learn the system we actually ship.

One modern, typed stack carries learners from interface work to data, deployment, and measured delivery.

  • Next.js
  • React
  • TypeScript
  • PostgreSQL + Drizzle
  • GitHub
  • Docker
  • Google Cloud Run
  • Measure

I Do → We Do → You Do

Instruction deliberately reduces support as learners move from worked examples to guided practice and independent production work.

1

I Do

A focused lesson models the concept and makes expert decisions visible.

2

We Do

Guided practice checks understanding while support is still available.

3

You Do

Independent work produces the evidence used by the mastery system and instructor.

Targeted support

An activity-bound AI tutor

The tutor works from trusted lesson resources and the learner's current activity. Its purpose is timely scaffolding—not unlimited answer generation or an unverified service-level promise.

Controlled rollout

Advisory pull-request review

AI review can surface evidence and corrections for instructors while the evaluator runs in shadow mode.

The advisory reviewer does not approve, block, pass, fail, or mutate learner mastery. Human review remains authoritative.

Instructor evidence ledger

Review objective history, confidence, and supporting activity evidence.

Scaffold usage

See when hints or tutor support contributed to a successful attempt.

Scheduled follow-up

Use spaced review to check whether demonstrated mastery persists.

The platform is live

See the first complete Mastery Advantage implementation.

Open Codecamp Advantage and explore the full-stack curriculum now running in production.

Visit Codecamp Advantage