Academy

You installed Claude. Now what?

We teach vibe coding on a foundation of developer readiness, AI-native tool chains, project organization, and rigorous output checks. The result is working applications you can ship and maintain — not slide decks or toy demos.

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What we build on top of

Developer readiness

Solid fundamentals first. You can't vibe-code your way out of code you don't understand.

AI-native tool chains

Claude, MCP, agents, evals, CI/CD, and observability wired together so you ship faster.

Project organization

Clear specs, scoped sprints, and repo hygiene so AI output compounds instead of collapses.

Rigorous output checks

Security, reliability, and performance reviews so your app doesn't fall over at the slightest push.

For individual engineers

Think this is you? Apply to the full-time Challenger track and build ten production systems in ten weeks.

Apply to the Challenger track

Same philosophy. Different delivery.

Choose the track that matches where you are today.

Program comparison for the Vibe Coding Academy
Feature	Challenger — Full-Time Track	Accelerator — Team Track
Format	10-week immersive cohort	6-week immersive cohort
Best for	Engineers who want to prove they can ship under sustained production pressure	Teams whose engineers are capable but constrained by delivery pressure
Selection	Application + technical screening	Nominated by your company
Weekly hours	80–100 hours of production building	Full-time step-out from day-to-day delivery
What you build	Production-quality apps across full-stack web, games, BI, computer vision, robotics, digital twins, and AI systems	Production-grade AI systems: RAG pipelines, agents, workflows, MCP, and business-line applications
Capstone	End-to-end AI system deployment	Production-grade capstone tied to a real business problem
Validation	Demo day live presentation	Successful capstone project completion
Pricing	Tuition-based	Per-employee fee
What you get back	Engineers who have shipped under sustained production pressure for ten weeks	Engineers who come back as internal AI champions and leads
Next cohort	Apply to learn more	Apply to learn more

Challenger — Full-Time Track

Format: 10-week immersive cohort
Best for: Engineers who want to prove they can ship under sustained production pressure
Selection: Application + technical screening
Weekly hours: 80–100 hours of production building
What you build: Production-quality apps across full-stack web, games, BI, computer vision, robotics, digital twins, and AI systems
Capstone: End-to-end AI system deployment
Validation: Demo day live presentation
Pricing: Tuition-based
What you get back: Engineers who have shipped under sustained production pressure for ten weeks
Next cohort: Apply to learn more

Accelerator — Team Track

Format: 6-week immersive cohort
Best for: Teams whose engineers are capable but constrained by delivery pressure
Selection: Nominated by your company
Weekly hours: Full-time step-out from day-to-day delivery
What you build: Production-grade AI systems: RAG pipelines, agents, workflows, MCP, and business-line applications
Capstone: Production-grade capstone tied to a real business problem
Validation: Successful capstone project completion
Pricing: Per-employee fee
What you get back: Engineers who come back as internal AI champions and leads
Next cohort: Apply to learn more

Apply to Challenger Apply to Accelerator

By the numbers

Production modules: 10+
Capstone domains: 4
Weekly reviews: 1:1

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Go all-in on AI-native engineering

Most AI pilots stall. Academy engineers ship.