Wiring MCP Servers Into Claude Computer Use Agents
Wire tools and MCP servers into Claude computer use: auth, JSON schemas, structured error handling, idempotency keys, and safe retries for production.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
Wire tools and MCP servers into Claude computer use: auth, JSON schemas, structured error handling, idempotency keys, and safe retries for production.
Reusable Claude computer use patterns: operating-procedure prompts, hybrid structured tools, screenshot pruning, recovery rules, and explicit done signals.
Step-by-step Claude computer use build: set up the display, declare the tool, write the agent loop, dispatch actions, and run a real task end to end.
Inside Claude computer use: the screenshot-action loop, the computer tool, coordinate grounding, and the harness architecture that makes it reliable.
On a NextJS monorepo with 27,732 files, Code-Review-Graph trims AI context to ~15 files. Here is the architecture, the math, and why it matters for the future of AI coding.
A practical engineering deep dive into Claude Code 2.1 Bangalore, covering architecture, tradeoffs, and what production teams need to know about India developer tooling.
Infrastructure-level look at Bedrock agents Claude, including AWS agent infrastructure, deployment topology, region availability, and cost considerations.
A practical engineering deep dive into MCP Sydney, covering architecture, tradeoffs, and what production teams need to know about Australian AI.
A practical engineering deep dive into Claude Sonnet 4.6 tool use, covering architecture, tradeoffs, and what production teams need to know about function calling reliability.