• ai
Claude Opus 5.5 Prompting Guide: 12 Tips for Faster, More Efficient Agents
12 practical Claude Opus 5.5 prompting tips from Anthropic's documentation, covering effort levels, caching, agent loops, vision, time budgets, and more.
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• ai
Claude Extended Thinking: When to Let the Model Actually Reason
Extended thinking gives Claude a private scratchpad to reason before answering. In 2026, that's evolved into adaptive thinking — where Claude decides how hard to think per request. Here's the practical guide: what it is, when it pays off, and the cost math that determines when to skip it.
• ai
MCP: The USB-C for AI Tools (And How I Wired Claude Into Everything)
Anthropic's Model Context Protocol has quietly become the TCP/IP of AI tool connectivity — 10,000+ servers now exist. Here's what MCP actually is, how the protocol works under the hood, and the servers that transformed my daily Claude workflow.
• ai
Claude Computer Use: I Gave Claude Eyes and Let It Browse the Web
I stopped writing CSS selectors. Now I take a screenshot and let Claude figure out what to click. Here's the real implementation of a Claude Computer Use browser agent — the interaction loop, working Python code with Playwright, and an honest breakdown of when it's magic vs. when to stick with regular APIs.
• ai
CLAUDE.md: The File That Makes Claude Actually Know Your Project
Every Claude session starts from zero — it doesn't know your codebase, your conventions, or what you care about. CLAUDE.md fixes that. Here's what went viral, why it matters, and how to write one that actually works.
• ai
Multi-Agent Systems with Claude: When One Agent Isn't Enough
Single Claude agents are powerful — but they hit a ceiling. Here's how I moved from solo agents to agent teams: an orchestrator that breaks down complex tasks and delegates to specialist sub-agents, with real Python code you can run today.