MIT Hackathon Puzzle That Turned Into a Data Science Project
How a face-customization puzzle at HackMIT went from clicking sliders by hand to reverse-engineering a hidden formula from 10,000 API calls. Face Valu…
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Масштабирование Zeebe: от каскадных сбоев до 100 процессов в секунду через анализ ресурсов и тюнинг
Привет, Хабр! Мы — команда разработки кредитных продуктов для физических лиц в Т-Банке. Делимся опытом нагрузочного тестирования workflow-движка Zeebe…
Optimizing Large-Scale MongoDB Aggregation Pipelines: Strategies for Performance at Scale
Originally published on tamiz.pro . MongoDB's aggregation framework is a powerful tool for processing and transforming data, but its performance can d…
Mobile app performance that lasts
Users judge a mobile app in the first few seconds, and they judge it harshly. A slow launch, stuttering scroll, or a device that runs hot will sink an…
V.E.L.O.C.I.T.Y.-OS: Classic Compiler Optimization Passes in JIT (Part 7)
Now that the JIT compiler could output raw x86-64 machine instructions, the next step was to optimize the AST tree before emitting code bytes. If the …
Next.js + Supabase Performance Optimization: From Slow to Lightning Fast
Next.js + Supabase Performance Optimization: From Slow to Lightning Fast Last month, I optimized a Next.js + Supabase application that was frustrating…
The Unexpected optimization in ESLint vs Vitest: A Head-to-Head
In a 2024 benchmark of 10,000+ line TypeScript codebases, Vitest outperformed ESLint ’s native rule execution by 47% in cold-start lint speed when con…
[03] Designing a Personal Commitment Line — Two Loans, One Defense System
[03] Designing a Personal Commitment Line — Two Loans, One Defense System This is Part 3 of a 6-part series: Building Investment Systems with Python T…