Tool-calling vs code-acting agents: which action space to pick.

One emits a JSON call per turn and round-trips every result through context. The other emits a program run in a sandbox. Cost, latency, and auditability.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

One emits a JSON call per turn and round-trips every result through context. The other emits a program run in a sandbox. Cost, latency, and auditability.

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LEARN THE BACKGROUND

These lessons teach the material this question tests, in order and from the beginning.

Agent Engineering·Trusting nothing the agent readsSign in13mWhat a sandbox buys, and the exit everyone leaves openAgents that write code or drive a browser need somewhere to run that is not your machine. What isolation actually contains, why the network is the exit that matters, and how to decide the blast radius before the run rather than after.Agent Engineering·The ecosystem you will be asked aboutPremium14mWhat any agent framework has to solve, and how to judge oneNaming this year's frameworks is a lesson with a one-year shelf life. Naming the six problems every framework must solve is one you can use to evaluate the next one, and to answer the interview question without betting on a vendor.

UP NEXT ON YOUR JOURNEY

Next in this trackYour single-turn evals pass but the agent falls apart by turn six. How do you catch that before launch?Next in this trackA multi-agent system beats your simple RAG pipeline by 15% on the benchmark. Do you ship it?Next in this trackYour agent has forty tools available and picks the wrong one. How do you fix it?

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