Onboarding Claude Code: A Step-by-Step Setup Guide
Follow-along walkthrough to onboard Claude Code like a new dev: install, scope permissions, write CLAUDE.md, wire tools, and run a verifiable first task.
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
Follow-along walkthrough to onboard Claude Code like a new dev: install, scope permissions, write CLAUDE.md, wire tools, and run a verifiable first task.
A deep architectural tour of Claude Code — the agent loop, layered context, tool dispatch, subagents, and MCP — and how the pieces fit together end to end.
Bigger context windows did not solve the context problem — they amplified it. Code-Review-Graph proves the real moat is context selection, not context size.
A practical engineering deep dive into Claude Code 2.1 Portland, covering architecture, tradeoffs, and what production teams need to know about open source AI.
Infrastructure-level look at Claude AWS Ohio, including Midwest cloud AI, deployment topology, region availability, and cost considerations.
Anthropic agent sdk evals reliability documentation: a practical engineering deep dive into Anthropic Agent SDK, covering architecture, tradeoffs, and what production teams need to know about Claude SDK.
A Maryland state agency uses Semantic Kernel and Azure AI Foundry to build citizen-services agents with audit trails and proper accessibility for residents.
Smolagents lets agents write Python instead of JSON. Why code-as-action reduces tool errors and where the security trade-offs are for production deployments.
Denver and Colorado insurance carriers are using ChatGPT Operator 2.0 to automate claims and underwriting workflows — early production results in 2026.