Design an LLM Agent System That Automatically Resolves Jira Tickets and Opens Pull Requests

Quick Overview

This ML system design question evaluates the ability to architect an autonomous LLM-agent pipeline spanning retrieval-augmented generation, tool integration, and sandboxed code execution. It tests conceptual understanding of how to ground agent reasoning in real codebases, structure permissioned tool access, and safely isolate execution environments — core competencies for senior roles building AI-powered developer tooling.

Design an LLM Agent System That Automatically Resolves Jira Tickets and Opens Pull Requests

Company: Datadog

Role: Software Engineer

Category: ML System Design

Difficulty: medium

Interview Round: Technical Screen

Overview: This ML system design question evaluates the ability to architect an autonomous LLM-agent pipeline spanning retrieval-augmented generation, tool integration, and sandboxed code execution. It tests conceptual understanding of how to ground agent reasoning in real codebases, structure permissioned tool access, and safely isolate execution environments — core competencies for senior roles building AI-powered developer tooling.

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Datadog
Jun 4, 2026
mediumSoftware EngineerTechnical ScreenML System Design
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