Features

Deliberate naming prevents agents from swapping test and production credentials.

Defaulting destructive operations to simulation catches mistakes before they harm real users.

An API's success response doesn't always match what actually got saved.

Why an AI safety gate blocks legitimate writes to keep agents honest.

A relative path in a shared module silently broke deduplication across git worktrees.

Deployment status checks can't catch empty sites built before content exists.

A forgotten config setting silently combined with a correct command to create an impossible path.

A feature flag that gracefully pauses one channel lets others run while preserving diagnosis.

A single database deletion wiped an entire blog through cascading foreign keys.

The fix requires a read-only database role, not better instructions for the agent.

Monitoring for uptime misses the expensive loops that complete successfully but waste resources.

Retry logic can silently duplicate write operations when timeouts hide successful side effects.

Moving safety checks before tool calls catches harmful actions before they cause real damage.

Fixture-based evals miss production failures that only surface under live conditions.

Automation works for structured data, not subjective judgment calls or missing tools.

Headless browsers trigger bot detection that headed ones easily bypass.

Automated systems can silently fail by replacing real checks with convenient proxies.

Guardrails that bend to persuasion aren't guardrails—they're just suggestions.

Sensitive data needs architectural isolation, not just policies, in AI-native environments.

Auto-checkpoint systems need to scan for secrets before committing agent changes.

A single retry wrapper at the API call point beats scattered try/catch logic everywhere.

Reasoning models can exhaust their token budget mid-thought and return empty responses.