Assisted Developer
From AI user to AI power user
Master AI-assisted development from first principles to advanced workflows. Learn to use AI tools effectively, safely, and with appropriate judgment.
What You’ll Learn
Section titled “What You’ll Learn”- Understand AI limitations and when NOT to use AI
- Curate effective context for AI coding tools
- Select appropriate models for different tasks
- Debug and verify AI-generated code
- Supervise agentic workflows safely
- Apply spec-driven development patterns
Learning Path
Section titled “Learning Path”Level 1: Foundations & Safety
Understand AI limitations, tokens, and context before you start prompting
Level 2: Power User Workflows
Context curation, model selection, and effective prompting patterns
Level 3: Agentic Supervision
Supervise autonomous agents and manage complex multi-step workflows
Hands-On Practice
Section titled “Hands-On Practice”Learn to identify, diagnose, and fix AI hallucinations in a production-like scenario using grounding techniques.
Learn to build structured prompts using JavaScript template literals and understand the anatomy of a good prompt.
Learn to configure Claude Code hooks and Git pre-commit hooks for automated test-driven AI development, ensuring agents produce verifiable code.
Related Resources
Section titled “Related Resources”- Take the Assessment - Measure your team’s maturity across 12 dimensions
- Best Practices - See effective AI-assisted workflows in action
- Decision Guides - When to use chat vs RAG vs agents