Human Approval Gates for Tool-Using AI Agents
Learn how to design approval gates that pause AI agents before risky tool calls, preserve exact intent, recheck policy, expire safely, and resume without duplicate side effects.
Software engineering field notes — Issue 29
Devspedia covers web platforms, cloud systems, AI tools, performance, and security for engineers building and operating software.
Learn how to design approval gates that pause AI agents before risky tool calls, preserve exact intent, recheck policy, expire safely, and resume without duplicate side effects.
TypeScript has an error for overriding an accessor with a field. It does not fire for static members, and a library built on that pattern skips its own registration silently.
Learn how to bound spend on endpoints that send email, SMS, or webhooks: reserving before the side effect, releasing on failure, rolling windows, and canonical limit keys.
Learn how to debug AI agents in production with run-scoped traces, stable span attributes, redacted payloads, token and cost metrics, and tail sampling.
Learn how to test AI agent workflows with recorded traces, deterministic replay, fault injection, and assertions around side effects.
Learn how to cut p99 latency in APIs and AI agents with hedged requests: tuning the hedge delay, hedging only idempotent work, and capping the extra load.
Learn how to stop runaway AI agents with token budgets, cost ceilings, step limits, wall-clock deadlines, loop detection, and graceful degradation.
Learn how to make AI agent side effects safer with compensating actions, recovery policies, idempotent undo steps, and operator-ready audit trails.
Learn how to make AI agent side effects recoverable with command ledgers, fenced execution, reconciliation jobs, and replay-safe workflows.