Guides
Original, practical explanations with tested code examples. Platform facts link to the provider's own pages and show when we checked them.
Ten mistakes reviewers make with AI-written code — from trusting the explanation to ignoring untested requirements — and how to avoid each one.
Software Side Hustles Editorial Team · Updated
What pairwise preference ratings are, how a seven-point scale works, how to calibrate between "slightly" and "strongly", and how to write a justification that holds up.
Software Side Hustles Editorial Team · Updated
A repeatable seven-step method for judging AI-written code — requirements, tracing, edge cases, claims, complexity, security and the written verdict — with a worked example.
Software Side Hustles Editorial Team · Updated
Correctness first, then fitness for the constraints, then clarity. A practical framework for comparing two implementations, with examples where the honest answer is "it depends".
Software Side Hustles Editorial Team · Updated
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