Our Testing Methodology

What can the tool actually do, tested against a standardized task suite? Covers feature completeness, context window use, code quality, and task success rate.

Does it work consistently? We measure error rates, hallucination frequency, latency consistency, and uptime during a 14-day review window.

Time to first productive result, learning curve, UX quality, documentation clarity, and how much configuration is needed to get value.

Output quality relative to price. A free tool with great results scores higher here than an expensive tool with similar results.

IDE support breadth, API availability, CI/CD hooks, language coverage, and compatibility with common developer workflows.

Tool is identified and added to the review queue. Basic metadata (pricing, features, API) is captured.

A human reviewer uses the tool for a minimum of 14 days or 20 hours across a standardized task suite. For developer tools, this includes real coding tasks in multiple languages.

The reviewer enters sub-scores (1–10) for each dimension with written justification for every score. Scores below 7 or above 9 require explicit examples.

The total is computed automatically from the formula. The reviewer cannot enter the total directly — this prevents rounding bias.

An editor reviews the verdict text and sub-score justifications before publishing. No auto-published scores.

Every tool has a "next review due" date. Fast-moving categories (coding agents) are re-reviewed every ~60 days. Scores change only after a full re-test.