The best AI coding tools for developers in 2025 (That I actually use)

This course highlights AI coding tools that actually work for modern developers. Instead of listing every tool, it focuses on when to use a chat assistant for drafting or explaining code, when to leverage an AI-first IDE for multi-file edits and refactoring, and when to employ auto-test utilities—all aligned with a standard development lifecycle: scaffold → debug via logs → write tests → document. You’ll learn a tool-selection framework based on context, including personal vs. team projects, source code security, cost, and stability. The course also covers habits for responsible AI use, such as checking logic, tracking time saved, and avoiding pasting sensitive data. By the end, you’ll have a lean, effective workflow that accelerates development while maintaining quality, verifiability, and best practices.