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Design an autonomous coding agent that resolves GitHub issues end to end (plan, edit, test, iterate).

A Devin-style agent that turns an issue into a merged PR is the hardest agent to make reliable, because every step can fail and errors compound. Here is the architecture and the loop that keeps it honest.

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

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LEARN THE BACKGROUND

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

Agent Engineering·The ecosystem you will be asked aboutPremium14mThe four agents companies actually buildCoding, browser, research and data agents are where most agent work and most agent hiring is. Each has one property that dominates its design, and knowing which one is what separates a specific answer from a generic one in an interview.

UP NEXT ON YOUR JOURNEY

Next in this trackDesign a semantic cache for LLM responses that cuts cost and latency without serving stale or wrong answers.Next in this trackDesign a multi-region, highly available LLM serving platform with failover and bounded cost.Next in this trackDesign a system to run LLM inference over a billion documents offline, as cheaply as possible.

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