Vibe Coder Expansion Pack
Graduated from Anthropic's Claude 101? Good. This is the rest of the job. We don't rebuild the fundamentals — we pick up where Anthropic's courses end and walk you through shipping production code with AI.
Free Primers
Curated links to the best free resources on the web. Learn the fundamentals from proven sources. No paywall for the basics.
Expansion Guides
Our original content that builds on the primers. Real workflows, failure patterns, integration playbooks, and production-ready techniques.
Foundations
// start with Anthropic's free courses — we won't rebuild what they already teach well
Anthropic Skilljar: Recommended Prereqs
Free, official, and the best starting point in the ecosystemBefore you dive into our expansion modules, work through Anthropic's official courses. They cover the fundamentals of Claude, Claude Code, the API, and MCP better than anyone — and they're free. Come back here for the production-shipping layer they don't cover.
// Stage 3 → scroll down. That's us.
Stage 3: Ship It
// the production playbook Anthropic's courses don't cover
Prompt Anti-Patterns
The failure modes Claude 101 doesn't warn you aboutAnthropic's courses teach you how good prompts work. This module catalogs how they break — the anti-patterns that survive your first 100 prompts and start biting on real projects. Pair with Claude 101, don't replace it.
Learning Modules
// primers + expansion content for each skill area
Vibe Coding Fundamentals
What it is, what it isn't, when to use itUnderstand the vibe coding paradigm coined by Andrej Karpathy. Learn when to embrace the vibes vs. when to apply engineering discipline.
Clean Code for AI Readability
File sizes, function length, structure that AI understandsAI assistants work best with well-structured code. Learn the clean code principles that matter most for AI context windows and comprehension.
Test-Driven Development with AI
Red-green-refactor with an AI pair programmerTDD isn't just good practice - it's essential for AI-assisted development. Tests give AI a spec to implement against and a way to verify its own work.
Web Architecture Patterns
Static vs SPA vs SSR - choosing the right approachDifferent project types need different AI strategies. A static site build is nothing like a React SPA. Know your architecture before prompting.
AI Project Configuration
CLAUDE.md, Cursor rules, and AI-ready reposSet up your projects so AI assistants understand them from the start. Configuration files, documentation patterns, and repo structure that works.
Context Window Mastery
Working within AI memory limits effectivelyAI assistants have memory limits. Learn to work within context windows, manage large codebases, and know when you're pushing boundaries.
AI Development Workflows
Plan → Act → Review → Ship patternsEffective AI-assisted development isn't random prompting. Learn structured workflows that produce consistent, shippable results.
Security & Code Quality
Don't let AI introduce vulnerabilitiesAI-generated code can introduce security vulnerabilities. Learn to review AI output for common issues and maintain code quality standards.
Advanced Modules
// deeper patterns for serious AI developers
Context Engineering for Agents
Runtime context management for AI coding assistantsAgents need more than config files - they need the right context at runtime. Learn to manage working memory, clear stale context, and feed agents what they need.
Agentic System Design
Patterns for building AI-powered systemsDesign patterns for agentic AI: reflection, prompt chaining, orchestrator-workers, and when simple prompts beat complex systems.
RAG & Vector Databases
Embeddings, semantic search, and knowledge retrievalGive your AI access to custom knowledge. Understand embeddings, vector storage, and Retrieval-Augmented Generation to build AI that knows your domain.
Prompt Compression & Optimization
Fit more context, spend fewer tokensContext windows cost money and have limits. Learn compression techniques that achieve 5-20x reduction while maintaining output quality.
OODA vs REPL Development Loops
Two mental models for AI-assisted iterationOODA (Observe-Orient-Decide-Act) vs REPL (Read-Eval-Print-Loop) - two powerful frameworks for iterating with AI. Know when to use each.
Fractal Architecture
Self-similar patterns from functions to systemsApply the same patterns at every scale - from individual functions to entire systems. AI understands consistent architectures better.
MCP & Tool Integration
Connect AI to databases, APIs, and external toolsModel Context Protocol (MCP) lets AI access your tools directly. Connect to databases, APIs, Git, Slack, and custom integrations.
Multi-Agent Workflows
Orchestrating specialized AI agentsMove beyond single-agent prompting. Learn to orchestrate multiple specialized agents - one writes, one tests, one reviews, one deploys.
Ready to Level Up?
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