AI for Developers: Tools, Workflows, and Patterns That Help

High-Value AI Workflows for Developers

• Test generation: "Write unit tests for this function covering edge cases" — solid first pass in seconds
• Code explanation: Drop unfamiliar code → "Explain this, then list potential issues"
• Refactoring: "Refactor this to use the repository pattern" — AI handles mechanical transformation
• Documentation: "Write JSDoc for each function" — now automatic
• Debugging: Paste error + relevant code → "What is causing this and how do I fix it?"

The Core Toolkit

• Cursor / Copilot: Inline completion and multi-file edits
• Claude / GPT-4: Long-context code review, architectural discussion
• Codeium: Free alternative with good multi-language support

Critical Anti-Patterns

• Accepting AI code without reading it — you own every line you commit
• Using AI for security-sensitive code without expert review
• Trusting AI library recommendations without checking they're maintained

Level Up Your AI-Assisted Development

Our workshop covers AI for engineering teams — individual productivity to team-wide AI workflows.