A complete guide to understanding how LLMs are tested. Learn what Needle in a Haystack, BrowseComp, Oolong, LongBench v2, MMLU, SWE-bench, and other benchmarks actually measure—and why it matters.

Claude Code 2.1.7 introduced MCP Tool Search, a lazy loading mechanism that reduces token consumption by 85% and improves model accuracy significantly. Here's how it works and what it means for your workflows.

A comprehensive comparison of Claude Code's four extension mechanisms—slash commands, MCP servers, skills, and subagents—including context impact, interaction patterns, and when to use each.

If you’re coming from n8n or other workflow automation tools, you might be wondering how to schedule Claude Code agents or skills to run automatically. While Claude Code doesn’t have built-in sched...

A comprehensive comparison of speech-to-speech realtime models versus the traditional STT→LLM→TTS pipeline for building voice AI applications with LiveKit.

A comprehensive comparison of all Speech-to-Text, Text-to-Speech, LLM, and Realtime model options available in LiveKit Agents, including pricing, pros/cons, and recommendations.

Welcome to my corner of the internet. This is where I’ll be sharing my thoughts on software development, interesting projects, and lessons learned along the way. What to Expect Here’s what you ca...