Interview guides
Deep study guides for production AI interviews — RAG, agents, MCP, evaluation, and system design — each paired with curated questions.
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7 guides in AI Agents · 54 curated questions
Observability and evaluation for coding agents — traces, cost/quality metrics, alerts, and private-repo bakeoffs.
Enterprise AI governance for coding agents — approval workflows, least privilege, sandboxes, and AI platform engineering ownership.
What belongs in AGENTS.md, why concise files win, company-wide templates, and securing agent config against repo attacks.
System design for AI coding agents — planner, tools, memory, verifiers, MCP, sandboxes, and a platform for 1,000 engineers.
Cursor vs GitHub Copilot interview prep: codebase indexing, agent edits, .cursor/rules, enterprise fit, and review gates.
AI AgentsAgent interviews test planner-executor design, tool validation, memory boundaries, and how you prevent infinite loops—not whether you can spell ReAct.
Master multi-agent systems, tool use, and agent orchestration — the hottest topic in GenAI hiring loops.