How this open-source contributor consistently finds impactful performance bugs: dissect subsystems and experiment
Abhishekcur · x · 2026-10-25
Open-source contributor Abhishekcur explains his method for consistently finding impactful performance issues: instead of hunting issues directly in large codebases, he isolates subsystems and experiments by changing variables to surface unknown problems.
He stresses the process is extremely time-consuming but worthwhile — built on experimentation, causal interrogation, and challenging assumptions — and that even with AI assistance, you still need good taste, with the real effort lying in execution.
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