AI Prompts

Design a restartable SaaS API extractor that survives pagination, rate limits, partial pages, and vendor cursor resets without duplicating or skipping records.

Audit a change-data-capture pipeline for gaps, duplicates, reordering, and recovery risks.

Plan a backward-compatible schema change across producers, pipelines, and consumers, with an expand-migrate-contract order and a rollback path.

Turn vague data reliability expectations into measurable SLOs, error budgets, and burn-rate alerts consumers can use.

Review an Airflow DAG for idempotency, scheduler pressure, backfills, and safe recovery.

Run a structured root-cause analysis for broken pipelines or bad dashboards, with checks, mitigations, and what not to guess.

Turn incident evidence into a blameless RCA with a causal chain, contributing factors, and corrective actions that owners can actually execute.

Map timeouts, retries, queues, and partial failure across a service graph so retry storms and poison messages are visible before they page you.

Review a tool-calling agent for loops, bad arguments, auth mistakes, and irreversible side effects, then add stops the runtime can actually enforce.