Read source code together, write articles together, and enjoy spicy hot pot together.
This article explains what backpressure is, why Node.js services silently run out of memory, and provides practical streaming and bounded‑concurrency patterns with code examples to keep memory usage stable under load.
FastAPI feels lightning‑fast on small datasets, but returning millions of rows can exhaust memory, block the event loop, and cripple the database; this article explains why that happens and provides concrete design rules—selective fields, pagination, cursor‑based queries, streaming, and chunked processing—to keep APIs stable at scale.
This guide explains how to harness Cursor's AI agents for software development by covering agent harness components, planning modes, context management, rule and skill extensions, long‑running loops, image handling, common workflows like TDD and Git integration, parallel execution, cloud delegation, and debugging strategies.
WebMCP, a new browser‑level Model Context Protocol co‑developed by Google and Microsoft, replaces fragile visual scraping with a structured API that lets websites expose tools directly to AI agents, dramatically improving token efficiency, reliability, and security while raising new implementation and safety challenges.
This guide enumerates ten frequent traps encountered when streaming JSON in Node.js—such as assuming one chunk per object, UTF‑8 split issues, missing newline delimiters, back‑pressure overload, and handling of large numbers—and presents reliable patterns like using NDJSON framing, StringDecoder, pipeline, and proper error handling to avoid data loss and memory spikes.
This guide walks you through installing Claude Code and Ollama, pulling and configuring various open‑source models, setting environment variables, and running Claude Code with both local and cloud‑hosted models, while covering context length, performance considerations, and tool‑calling examples.
AI is not the future of engineering but a tireless junior engineer that can speed up repetitive tasks, mechanical refactoring, and test scaffolding, while still failing at architectural decisions, performance reasoning, and async concurrency, so senior developers must guide and verify its output.
This guide explores how to harness Claude Code effectively by structuring prompts, using CLAUDE.md, managing context windows, creating reusable skills and commands, handling stuck situations, and even running the model locally with Ollama for a powerful, self‑contained coding assistant.
This article explains what high‑throughput means for an HTTP server, why Node.js’s event‑driven, non‑blocking architecture makes it ideal, and provides step‑by‑step code examples—including a basic server, blocking vs. async I/O, clustering, keep‑alive, JSON optimization, and streaming—to help developers design scalable, low‑latency services.
This article explains what MessagePack is, compares its size and speed to JSON in Node.js with real benchmarks, shows how to use the msgpackr library, and outlines the scenarios where its smaller binary payloads and native binary support outweigh its slower CPU serialization.
