I Tested 5 AI Coding Assistants for a Month: Here’s What I Actually Found

The pitch is always the same: describe what you want, watch the code appear, ship faster. After a month of putting five of the most-discussed AI coding assistants through real work — a legacy refactor, a greenfield API build, and a few debugging sessions I'd rather forget — the honest answer is messier than any vendor demo suggests.

Each tool carries a different philosophy about what AI assistance should look like. Cursor wants to replace your entire editor. GitHub Copilot wants to enhance the one you already have. Claude Code wants to work beside you in the terminal. Windsurf (Devin Desktop) wants to run autonomously for as long as you let it. Replit Agent wants to take you from blank canvas to deployed URL without leaving your browser. These aren't small differences in implementation. They're genuinely different bets on how software will be written in the next few years.

Here's what actually happened.

Cursor: The AI-Native Integrated Development Environment

Cursor starts from a conviction that the editor itself should be rebuilt around AI, not adapted to accommodate it. The interface feels familiar if you've used VS Code, because it's built on top of it, but the experience diverges quickly once you start working with its Composer and Agent modes.

Multi-file awareness is where Cursor earns its reputation. When I brought it into a moderately complex Django project and asked it to rename a data model and propagate that change across views, serializers, tests, and migrations, it handled the scope without losing the thread. That kind of cross-file coherence is what separates Cursor from simple autocomplete tools.

Pricing sits at around \$20 per month for the Pro tier, with usage-based billing for heavier agentic sessions. For developers doing substantial refactoring work, it's probably worth it. For someone who mainly wants inline suggestions, the value proposition is harder to justify against cheaper alternatives.