AI & Technical question

You are designing a developer-facing product powered by a frontier code model. How would you decide which safety controls to enforce at launch, such as blocking insecure patterns, adding verification steps, limiting autonomous actions, or gating risky workflows, without destroying iteration speed or user value?

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Ability to calibrate safety controls for developer tools so they reduce real risk without making the product too slow or restrictive to use.

Segment risk by consequence and reversibility: suggesting insecure code a developer can review is lower risk than the model autonomously executing an action, like running a shell command or deploying code.
Enforce hard blocks only on clearly, narrowly defined dangerous patterns, for example known critical vulnerability classes, to avoid over blocking legitimate code that merely resembles a risky pattern.
Add verification steps, like flagging a suggestion as needing security review, for medium risk categories instead of blocking outright, preserving developer velocity while surfacing the concern.
Gate autonomous actions specifically, requiring explicit user confirmation before the model executes anything outside of simply suggesting text, since execution is the highest consequence category.
Avoid blanket restrictions on iteration speed for the vast majority of low risk suggestions, reserving friction for the narrow set of genuinely risky actions.
Set a feedback loop where developer pushback on false positive blocks feeds into tuning the controls over time.

Segments controls by actual consequence, autonomous execution versus a mere suggestion, rather than applying uniform restrictions.
Uses flagging and verification for medium risk cases instead of hard blocking, preserving iteration speed.
Names execution gating specifically as the highest priority control, since that is where irreversible harm can occur.
Includes a tuning loop based on developer reported false positives, showing the controls are not static.

Applying uniform, heavy handed restrictions across all suggestions regardless of actual risk, killing developer trust and speed.
Treating a mere code suggestion the same as an autonomous execution action.

How would you measure whether a safety control is generating too many false positives?
What would you do if developers routinely bypassed a verification step, treating it as a rubber stamp?