Your AI agent wastes 13,000 tokens before saying "hello"

<h2> The invisible bill </h2> <p>I was debugging why my Claude Code sessions felt sluggish after connecting a few MCP servers. Token usage was through the roof -- but I hadn't

<h1> Fix Your Prompt Structure Before You Touch Your Infrastructure </h1> <p>Most engineering teams treat LLM inference costs as an infrastructure problem. They evaluate model

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wxfdt9/qwen38_27b_1_x_r9700_262k_context_half_a_million/"> <img alt="Qwen3.8 27B | 1 x R9700: 262K context,

<p>I added a WebMCP benchmark to <a href="https://github.com/jo32/DeepDeck" rel="noopener noreferrer">DeepDeck</a>, my MIT-licensed macOS desktop project built on DeepSeek

<p>A recent r/ClaudeAI post measured a single Playwright MCP workflow at <strong>114,000 tokens</strong>. Not a complex task — a 7-step navigation + form submission that ran in