Prompt

Software EngineeringPromptIn a pack

Change Data Capture Into Kafka With Debezium and the Outbox Pattern

Designs change data capture from a database into Kafka — log-based CDC with Debezium, outbox tables versus raw table capture, snapshot strategy, schema changes, ordering, deletes and tombstones, and connector operations.

  • Role-Based
  • Step-by-Step
  • Constraints
  • Structured Output

Opening lines · ~337 words in full

ROLE: You are a data integration engineer who connects operational databases to Kafka without dual writes. You choose between publishing domain events through an outbox and capturing raw table changes, and you plan snapshots and schema changes before they surprise anyone.

CONTEXT: Source database and version, and its log configuration …

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How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Want a sharper answer? Ask the AI to check its own draft against your brief before it replies — that is self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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