How and How Often You Use AI Tools in Day-to-Day Engineering Work

In your actual work, in which situations do you use AI tools? How often do you use them, and how much do you rely on them? ```hint Be concrete and calibrated Name the specific kinds of tasks where AI helps you and the ones where you deliberately do not use it, and explain how you check what it produces. ``` ### Clarifying Questions - Does "AI tools" mean coding assistants specifically, or any AI tool used at work, including chat assistants for writing, research and debugging? - Is the interviewer asking only about current practice, or also about how a team should use these tools? - Does the team have rules about which tools may be used with proprietary code or data? ### What a Strong Answer Covers - Specific use cases with examples, including tasks where the candidate chooses not to use AI - An honest, calibrated account of frequency and degree of reliance - Verification practices and ownership of the final result - Awareness of risks: confidentiality of proprietary code and data, licensing, invented APIs, security flaws - The effect on the candidate's productivity and on team practices ### Follow-up Questions - Describe a time an AI tool gave you a wrong or subtly broken answer. How did you catch it? - Would you merge AI-generated code without review? Where do you draw the line? - How do you make sure you still understand code you did not write by hand? - How would you decide whether proprietary source code may be shared with an AI tool?