AI & Technical question
You have a promising research prototype for code editing that works in demos but not yet at product scale. Walk me through how you would turn it into a launchable product, including decisions around context retrieval, tool or sandbox execution, latency and cost targets, fallback behavior, and rollout. Where do you expect the biggest execution risks?
- Anthropic
- AI & Technical
- Hard
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Chapters of the AI PM course that teach what this question tests.
- Chapter 1: Foundations: the model and the decisions it forces on you
- Chapter 8: Evals: define good and make the number defensible
- Chapter 6: Agents and agentic architecture