Software Development News

Real world OpenClaw production setups combining plugins and skills by user type, with practical architecture patterns for reliability, workflows, and scale. OpenClaw Production Setup Patterns with Plugins and Skills

A comprehensive comparison of Pydantic and JSON Schema for structured output validation in Python, covering performance, usability, and integration with LLMs. Learn when to use each tool for optimal data validation in modern applications. Structured Output Validation with Pydantic vs JSON Schema: A Comprehensive Comparison

Full data: 20 AI agent repos ranked by GitHub stars, OpenRouter daily tokens, npm/PyPI downloads, CVE history, ecosystem size, and Reddit sentiment. OpenClaw vs Hermes Agent: Stars, Downloads & Usage 2026

Learn what a second brain really is, how it differs from PKM, wikis, and RAG, and why the best systems turn notes into reusable thinking over time. Second Brain Explained for Engineers and Knowledge Workers

Benchmark results for Qwen 3.6 27B and 35B MTP speculative decoding in llama.cpp on RTX 4080 16GB. Token speed, VRAM cost, and optimal --spec-draft-n-max settings. Qwen 3.6 27B and 35B MTP vs Standard on 16GB GPU

Learn how to master Go's concurrency model with goroutines and channels. This guide covers mechanics, patterns, best practices, and performance optimization for building efficient, scalable concurrent applications. Understanding Goroutines and Channels in Depth

Learn how to unload every loaded llama.cpp router model with curl and jq, free VRAM safely, and avoid restarting llama-server in local LLM workflows. Unload All llama.cpp Router Models Without Restarting

RAG retrieves fragments on demand. LLM Wiki compiles structured knowledge before any question is asked. Learn when ingest-time synthesis beats query-time retrieval, and when it does not. LLM Wiki - Compiled Knowledge That RAG Cannot Replace