Developer Tests 7 Hyped AI Coding Tools: 4 Saved Time, 3 Did Not

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A developer conducted hands-on testing of seven widely promoted AI tools within real production workflows, not demos or sandbox environments. GitHub Copilot, Cursor, Perplexity, and Warp terminal were found to deliver genuine time savings across code generation, multi-file refactoring, research, and command-line tasks respectively. Cursor stood out for complex, cross-file architectural work, while Perplexity eliminated lengthy documentation searches by returning cited answers quickly. Amazon Q Developer performed well only within AWS-focused stacks, losing out to Copilot on general-purpose tasks. The findings suggest that AI tool value is highly dependent on workflow fit, with specialised tools outperforming generalist alternatives in their respective domains.

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