How to use AI in Meta's AI-assisted coding interview (with prompts and examples) (interviewing.io)

Meta has begun piloting an AI-enabled coding interview that integrates an AI assistant into a 60-minute coding round, replacing one of the traditional coding assessments. This innovative approach, set to roll out for backend and operations roles in 2026, allows candidates to leverage AI to enhance productivity on well-defined subtasks, such as generating shell commands or debugging existing code. Although official materials state that AI use is optional, candidates who effectively utilize AI tools are likely to gain an edge in the competition. The significance of this development lies in the shift towards embracing AI as a collaborative tool in the coding interview process. Candidates can now delegate repetitive tasks, like scripting and boilerplate generation, to AI, thereby focusing more on complex problem-solving and system design. Key applications include using AI to generate deployment scripts, summarize unfamiliar code, and identify bugs in existing functions. Best practices emphasize the importance of reviewing AI outputs for correctness and understanding the generated content thoroughly, ensuring that candidates retain ownership of their solutions while benefiting from AI's capabilities.