Post by Mastering LLM (Large Language Model)

👀 Most people using Claude Code have no idea what the agent is actually doing between clicking “Run” and getting the final output. 🔍 Files are being read. 🛠️ Tools are firing. 🤖 Sub-agents are spawning. 📦 Context is filling up. ⏳ But you only see the end result. ✅ Claude HUD changes that. 📺 It adds a real-time dashboard to your terminal and makes the agent’s behavior visible. 📊 You can monitor context window health — token usage, percentage consumed, and whether you’re still in the safe zone or heading into trouble. 📁 You can see which files are being read, edited, or searched in real time. 🛠️ You can track active tools and sub-agents, along with what each one is working on. 🔄 You can follow todo lists and plan progress as the workflow unfolds. 💻 Think of it like htop for Claude Code sessions — but instead of CPU and memory, you’re watching context, tools, and agents. ⚠️ Why this matters: 🚨 You can catch context bloat and runaway loops before they waste your quota. 🔎 You can debug strange agent behavior by seeing every tool call and file interaction. 💡 You get a practical look at what AI observability and human-in-the-loop oversight can actually look like. 🤯 The best part? This data was already there. 📦 Claude HUD simply packages it in a way that makes both the friction and the opportunity impossible to ignore. 🆓 It’s free. 🌍 It’s open source. 📜 It’s MIT licensed. 🚀 If you’re serious about AI agents and production-grade workflows, observability shouldn’t be optional. 🎯 It should be the starting point.