Module 8
AI Coding & Development
Build software 10× faster with AI as your engineering partner
Lessons
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8.1
The AI Developer Mindset
Locked40 min
8.2
GitHub Copilot Mastery
Locked60 min
8.3
Cursor & AI-Native IDEs
Locked75 min
8.4
Claude Code & Autonomous Coding
Locked90 min
8.5
Vibe Coding & Rapid Prototyping
Locked120 min
8.6
AI API Integration
Locked60 min
8.7
AI Pipelines in Python
Locked90 min
8.8
Testing, Evals & Deploying AI
Locked60 min
Expert Lens
Founder
Think like a founder: what user pain, distribution channel, pricing, and retention loop does this AI capability unlock?
Systems
Think like a first-principles systems builder: separate demos from durable products, and measure the bottleneck the model actually removes.
Infrastructure
Think like an AI infrastructure leader: account for data, latency, cost, reliability, evaluation, and deployment constraints before scaling.
Objectives
- Build complete applications with AI assistance
- Master every major AI coding tool
- Deploy AI-powered products to production
- Design AI-native software architecture
Capstone
AI-Native SaaS Build
Build a complete deployed SaaS: authentication, database, AI core feature, billing, and deployment to a real domain.
A live, publicly accessible AI-powered application with production-ready architecture.
Real Examples
- A solo operator replaces repetitive research, drafting, and QA loops with an AI-assisted workflow while preserving human review.
- A startup validates an AI feature by measuring time saved, accuracy, user retention, and willingness to pay before building a platform.
- An enterprise team moves from chatbot demo to governed internal assistant with retrieval, permissions, observability, and escalation.
Mastery Checks
- Explain the core concept without buzzwords.
- Build a small working artifact, not just a note or prompt.
- Define an evaluation rubric and test against at least five edge cases.
- Estimate operational cost, failure modes, and human review requirements.