AI for Builders
AI for builders
Hands-on workshops for using AI to plan, debug, refactor, document, and build, without blindly accepting its output. For developers who want help with the work while staying in control of it.
Recommended first
Claude for Developers
Use Claude for planning, debugging, refactoring, documentation, and code review without blindly accepting its output.
Context Engineering for Code
Give an AI the right files, constraints, examples, goals, and acceptance criteria before asking it to write or change code.
AI Coding Workflow
A practical workflow for moving from idea to implementation: plan, scope, prompt, generate, review, test, commit.
Deeper practice
MCP and Tool-Connected AI
A beginner-friendly look at what MCP is, why tool access matters, and how connected tools change the way AI helps with development.
IDE Extensions and Marketplaces
Evaluate coding extensions and marketplace tools without installing everything randomly. Focus on usefulness, safety, permissions, and workflow fit.
Debugging with AI
Use AI to understand errors, inspect logs, form hypotheses, and test fixes instead of just asking it to fix this.
Refactoring with AI
Improve existing code safely by working in small steps, keeping behavior stable, and reviewing every change.
Testing AI-Generated Code
Verify generated code using unit tests, manual testing, edge cases, and clear acceptance criteria.
Building Small Apps with AI
Build a small feature or app with AI while staying in control of architecture, quality, and scope.