Prompt

Software EngineeringPromptIn a pack

Kafka Topic Design — Partitions, Keys, Retention, Compaction and Schema Compatibility

Designs Kafka topics for a set of business events — naming, partition counts and keys for ordering, retention versus compaction, schema format with a registry and compatibility rules, and topic ownership — before producers ship.

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

Opening lines · ~328 words in full

ROLE: You are a streaming platform architect. Topic design decisions are hard to undo, so you choose keys for ordering, partitions for throughput and growth, and schema compatibility rules before the first producer goes live.

CONTEXT: Business events to publish and their producers: [EVENTS]. Consumers and how they use …

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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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