Build your first Claude agent: a step-by-step guide
A concrete, engineer-followable walkthrough to build a production Claude agent: loop, tools, MCP, memory, and evals — for AI-native founders.
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From the blog
A concrete, engineer-followable walkthrough to build a production Claude agent: loop, tools, MCP, memory, and evals — for AI-native founders.
A reproducible walkthrough for using Claude Code on a large monorepo: memory files, task scoping, blast-radius mapping, sliced edits, and safe shipping.
The end-to-end architecture of an AI-native startup on Claude: agent loop, context assembly, tools, MCP, memory, and evals — a founder's stack map.
Inside Claude Code's architecture for big repos: the agent loop, context strategy, repo navigation, subagents, and how the pieces fit end to end.
Where Claude computer and browser use is going next — MCP tools, multi-agent orchestration — and concrete steps to prepare your team and code today.
The metrics and signals that prove a Claude computer-use or browser agent works — task success, intervention rate, cost per outcome, and eval gates.
One Claude browser-use automation from a messy business problem to a shipped, supervised outcome — decomposition, dead ends, and what made it stick.
Map failure scenarios, size the blast radius, and contain Claude browser-use agents before they ship — irreversible actions, injection, and gates.
The concrete skills, roles, and hiring signals teams need to make Claude computer and browser use actually work in production in 2026.
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