Best AI Coding Tools for Autocompletion vs Refactoring
Users choose AI coding assistants based on task complexity, using autocompletion for repetitive work and broader tools for refactoring and debugging. Copilot and Cursor are popular for basic autocompletion and boilerplate, though Cursor provides better contextual tab suggestions for front-end development. For broader tasks, Claude Code and Cursor handle multi-file refactoring, while ChatGPT is favored for debugging and architecture. AI still struggles with complex logic.
Using Claude Code: Real Strengths and Human Review Strategies
Users praise Claude Code for accelerating development and generating high quality code, especially for personal projects and automation. It lowers the friction of building functional applications quickly. Despite its capabilities, developers warn against shipping AI generated code without thorough human review. Focus on overall structure, risk, and trust boundaries rather than line by line checks. Common strategies include using a second AI model to catch bugs, providing clear context in fresh sessions, and running automated tests and linters as a first line of defense.