What is an AI coding agent architecture? (ANSWERED)
A production AI coding agent typically includes:
Read full explanationAI Coding Agent Interview Questions
System design for AI coding agents — planner, tools, memory, verifiers, MCP, sandboxes, and a platform for 1,000 engineers.
AI coding agents are the highest-ROI long-term traffic and interview category in production AI engineering. Large-scale research across open-source repositories shows agents are becoming mainstream — and hiring loops now ask for architecture, not demos.
A coding agent is not a chat wrapper. It is a control loop with tools (filesystem, shell, MCP), context engineering, verification (tests/CI), and policy (permissions, approvals). Parallel agent orchestration, repository intelligence, and sandboxed execution are emerging themes.
This pillar guide covers coding-agent architecture and enterprise platform design. Cross-link with Claude Code, Cursor, Codex CLI, MCP, and governance guides for a full prep cluster.
Coding AgentsSystem DesignMCPArchitectureEnterprise
Questions in this guide
Deep explanations with architecture diagrams for every question below.
System design: AI coding agent platform for 1,000 engineers (EXPLAINED)
This is an enterprise platform design question spanning agents, MCP, governance, and observability.
Read full explanation