A technical series dissecting real-world performance regressions encountered in daily engineering workflows. From hidden allocation costs in high-level languages to the subtle impact of cache-unfriendly data structures, these articles analyze the "why" behind system slowdowns. Learn to identify, profile, and resolve the friction points that standard monitoring tools often miss.
Localhost is a comfortable, consequence-free fantasy. Production is where software goes to find out what it actually is. A 3am field report from someone who has been profiling things nobody asked them to profile.
An API endpoint went from 500ms to 900ms after AI-suggested “optimizations,” until removing ORM abstraction and switching to raw SQL reduced it to 43ms, revealing how performance depends more on system understanding than generated fixes.