Design a self-healing CLI that diagnoses errors and suggests safe automated fixes
Create a Python CLI scaffold that runs commands, captures stderr, classifies common failures, and proposes safe fixes. Include plugin architecture, unit tests, and a dry-run mode.
Generate a tiny event-sourced task tracker with replay, snapshots, and invariants
Write a TypeScript library for an event-sourced todo system: define events, reducer, replay, snapshotting, and invariant checks. Provide example usage and property-based tests.
Explain how policy trade-offs are evaluated using fairness, feasibility, and measurable outcomes
Draft a neutral guide on evaluating public-policy options: define criteria (equity, cost, feasibility, risks), suggest a simple scoring rubric, and show a generic example without referencing specific events.
Summarize emerging AI safety and privacy practices for everyday apps and data handling
Write a concise overview of practical AI/tech governance: privacy-by-design, model transparency, bias checks, audit logs, and incident response. Include a checklist suitable for small teams.