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Introduction Traditional B-Tree data structures, the backbone of many indexing systems, are hitting a wall in modern computing environments. Their r…
Drop a handful of squid rings into a frying pan and you have already made a decision, whether or not you noticed making it. You can lay them out so…
No measurement, no optimization. There's a common saying in programming: "Don't optimize what you haven't measured yet." You can only truly apprecia…
A research collaboration involving IonQ and Oak Ridge National Laboratory has demonstrated a new generative AI method for creating quantum optimizat…
LLM Inference Optimization: Techniques for Faster and Cheaper AI Large Language Models are powerful, but they can be slow and expensive. In this art…
Introduction Porting computer vision algorithms across frameworks—such as from Python with OpenCV to a niche image processing platform—inevitably ex…
Checkout is the worst possible page to be slow. Baymard Institute's long-running research puts average cart abandonment around 70%, and every second…
I hit the wall when a single noisy signal kept dragging candidate selection around like a shopping cart with one bad wheel. The composite score look…
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 Va…
Привет, Хабр! Мы — команда разработки кредитных продуктов для физических лиц в Т-Банке. Делимся опытом нагрузочного тестирования workflow-движка Zee…
Originally published on tamiz.pro . MongoDB's aggregation framework is a powerful tool for processing and transforming data, but its performance can…
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…
LLM features are cheap to prototype and surprisingly expensive to run at scale. A demo that costs pennies becomes a five-figure monthly bill once re…
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 th…
I Cut My Next.js + Supabase App Load Time by 73% - Here Are the 5 Techniques That Actually Worked Last month, our SaaS dashboard was embarrassingly…
Next.js + Supabase Performance Optimization: From Slow to Lightning Fast Last month, I optimized a Next.js + Supabase application that was frustrati…
В этой статье представлен подробный перевод личного кейса разработчика Marwan по созданию воксельных 3D-моделей. Вы узнаете, с какими проблемами опт…
I was working on cost optimization for an LLM-based document translation pipeline. At that point, the LLM translation flow was still very direct: on…
From ThreadPoolExecutor to httpx AsyncClient: True Async Refactoring Published on : 2026-06-06 Reading time : 6 min Tags : #python #async #performan…
supabase-async: ThreadPoolExecutor에서 httpx AsyncClient로 리팩토링 Published on : 2026-06-06 Reading time : 6 min Tags : #python #async #performance #opti…
Published on : 2026-06-06 Reading time : 6 min Tags : #python #async #performance #optimization 문제: 거짓 비동기 supabase-async 라이브러리는 이름은 async이지만, 실제로는…
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 c…
logzip — утилита для сжатия логов перед анализом в LLM. Вместо того чтобы отправлять в Claude/GPT сырые 10 МБ лога, мы сжимаем его до 3.4 МБ (−58%),…
[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…