Master the art of working with AI coding agents. Learn to set up, configure, and optimize your workflow with Claude Code, GitHub Copilot, Cursor AI, and other powerful AI development tools.
Setting up and using Claude Code for development workflows
GitHub Copilot, Cursor AI, Codeium and comparative analysis
Task breakdown strategies, quality control, and human-AI collaboration patterns
CLI-based AI assistant for code analysis and generation
Real-time code completion and suggestions
AI-first code editor with native intelligence
Free AI coding assistant with privacy focus
Architecture decisions, security considerations, and high-level design remain human responsibilities. AI provides analysis and suggestions but humans make final decisions.
Feature development, API design, and component creation benefit from human-AI collaboration. AI generates code while humans provide context and review.
Boilerplate code, documentation generation, and test creation can be largely automated. AI handles the heavy lifting while humans provide oversight.
Learn to set up, configure, and effectively use multiple AI coding agents, understanding their strengths and optimal use cases.
Develop systematic approaches to review, validate, and improve AI-generated code while maintaining security and performance standards.
Measure and optimize your AI-assisted development workflow, tracking improvements in speed, quality, and team satisfaction.
To maximize your learning in this advanced module, ensure you've completed:
Start with Claude Code integration and work your way through the complete toolkit of modern AI development tools.