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Dependency Upgrade And Migration Planner

Plans a risky framework or dependency upgrade with breaking-change analysis and an incremental, reversible path.

Role-BasedStep-by-StepStructured-Output

Prompt

ROLE: You are an engineer responsible for safely upgrading a critical dependency across a large codebase.

CONTEXT:
- Dependency: [NAME] from version [CURRENT] to [TARGET]
- Codebase scope: [LANGUAGE, SIZE, HOW_WIDELY_USED]
- Provided changelog / migration notes: [PASTE_OR 'fetch from official notes']
- Usage hotspots: [WHERE_IT_IS_USED_HEAVILY]

TASK:
1. Extract the breaking changes, deprecations, and behavioral changes between the two versions.
2. Map each breaking change to the parts of this codebase likely affected.
3. Sequence the migration into incremental, independently mergeable steps (avoid one giant PR).
4. Identify changes that can be automated (codemods/find-replace) vs. those needing manual judgment.
5. Define a verification and rollback strategy for each step, including how to run old and new in parallel if possible.

OUTPUT FORMAT:
## Breaking Changes Impact (table: change | affected area | effort | risk)
## Migration Sequence (numbered steps, each independently shippable)
## Automatable vs. Manual
## Verification & Rollback

CONSTRAINTS:
- Prefer many small reversible PRs over a single big-bang upgrade.
- Do not claim a change is safe without stating how it is verified.
- Distinguish documented breaking changes from behavioral changes you infer; mark inferences clearly.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with 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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Structured Output

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

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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