Design an autonomous coding agent that resolves GitHub issues end to end (plan, edit, test, iterate).
A Devin-style agent that carries an issue all the way to a merged PR is the hardest kind to make reliable, since every step can fail and errors pile up. Here is the architecture and the loop that keeps it honest.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
A Devin-style agent that carries an issue all the way to a merged PR is the hardest kind to make reliable, since every step can fail and errors pile up. Here is the architecture and the loop that keeps it honest.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
