The author tested four AI coding assistants (Copilot, Cursor, Claude Code, Windsurf) over two weeks for a fintech project involving TypeScript and Django. Copilot was conservative but reliable; Cursor excelled in multi-file tasks but required careful review of changes; Claude Code offered deep context understanding through explicit commands; Windsurf provided solid performance with lower costs. The team chose Cursor with strict commit practices before agent runs, while the author personally uses both Cursor and Claude Code for different purposes. Completion quality was balanced against error recovery speed, highlighting the importance of tools that facilitate quick identification and correction of mistakes.
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