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…
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When Prompt Batching Made My LLM App More Expensive
I was working on cost optimization for an LLM-based document translation pipeline. At that point, the LLM translation flow was still very direct: one …
From ThreadPoolExecutor to httpx AsyncClient: True Async Refactoring
From ThreadPoolExecutor to httpx AsyncClient: True Async Refactoring Published on : 2026-06-06 Reading time : 6 min Tags : #python #async #performance…
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…
Сепаратор для логов. Сжимаем логи для контекста LLM без потери читаемости
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%), с…