We help readers choose AI coding tools by explaining what the available evidence supports. A comparison may examine official documentation or bring together experiments conducted by other people. We do not present those experiments as tests we ran ourselves.
Three kinds of comparison
- Document comparison: features, availability, pricing and limits checked against official sources on the stated date. It does not establish relative performance.
- External experiment synthesis: findings from at least two independent underlying experiments, with the original authors, dates, tasks and conditions attached to the results. Multiple articles repeating one experiment count as one.
- Our own tests: used only when we have actual run records, inputs, conditions and outputs. We have not published an original performance benchmark.
How we read experiments
For each experiment we record the author and original link, experiment date, tool and model versions, task, sample size or repetitions, evaluation method, operator interventions and budget where disclosed. Missing details remain “not disclosed.” A publication date is not necessarily the date of the experiment.
We compare the conditions before comparing the outcomes. Different tasks, harnesses, model versions and definitions of cost can explain conflicting results. We do not average incompatible scores or turn one demonstration into a general win rate. A vendor’s experiment is attributed to the vendor; known interests and methodological limits are considered in judging its weight.
What our conclusion means
Reported findings belong to their original authors. Our contribution is to explain where the findings agree, why they may disagree, and what they imply for a particular reader’s task. A conditional recommendation is editorial interpretation, not a new measured result. An old model’s score does not establish the current product’s performance.
Each article has one source and methodology box with original links, checking dates and the limits of our review. External syntheses say that we did not rerun the experiments. If the available sources cannot support the question, we narrow or hold the article. We summarize in our own words rather than republishing source passages.
Corrections and commercial relationships
Material factual corrections receive a dated note. New experiments do not silently replace old results. Any affiliate link or paid sponsorship we introduce will be identified, and commercial terms will not determine the findings or ranking.