How We Used AI to Make happycontext Up to 77× Faster Without Breaking Its API
How we used AI, profiling, adversarial tests, and repeatable Go benchmarks to cut hot-path work and make filtered log writes up to 77x faster.
2 entries in this part of the archive.
How we used AI, profiling, adversarial tests, and repeatable Go benchmarks to cut hot-path work and make filtered log writes up to 77x faster.
A practical deep dive into happycontext, a Go wide-logging library that emits one structured event per request with support for slog, zap, zerolog, and net/http, gin, echo, and fiber integrations.