AI for Developers
The problem
Developers want to move faster on boilerplate and repetitive code without sacrificing code quality, security or understanding of what's being shipped.
Recommended approach
In-editor tools like GitHub Copilot add AI completion to the editor you already use; Cursor goes further with a dedicated AI-native editor built for codebase-wide context and multi-step agent tasks. Claude is frequently used for focused code review and reasoning through tricky bugs, particularly for large files or codebases. Whatever the split, treat AI-generated code the same as a junior contributor's pull request: review for correctness, security, and whether it actually matches the spec — don't merge on trust.
Best tools
Claude
Anthropic's AI assistant, known for long-context reasoning, writing quality and coding.
Best for: Long-document analysis, Coding and code review
Replit
A cloud coding environment with an AI agent that can build apps from a prompt.
Best for: Learning to code, Fast app prototyping
GitHub Copilot
AI code completion and chat, built into popular code editors.
Best for: In-editor code completion, Explaining unfamiliar code