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Codex Migration Plan Chat

Turn a desired architecture change into a ready migration plan with files, risks, checks, and rollback notes.

Migration planCodebaseRollout
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Chat Prompt

Recommended model

GPT-5 Codex

Output format

Migration plan

Preview

Chat Prompt

chat thread

Plan the migration from legacy inline examples to reviewed content records.

Goal: make reviewed content records the source of truth for examples. Current architecture: pages still read a mix of inline examples and derived UI props. Target architecture: server code reads published records by content type and keeps compatibility only during migration. Steps: add an aggregation layer, update public pages, update audits, document compatibility behavior, then remove legacy fields after coverage. Tests: content check, media audit, model content audit, typecheck, and page sampling.

Output

Goal / Current architecture / Target architecture / Files / Steps / Compatibility / Tests / Rollback

Best for repo migrations, compatibility fallbacks, and careful rollout planning.

Full prompt

Codex Migration Plan Chat

Code migration planning prompt for ready architecture changes.

Recommended model: GPT-5 CodexOutput format: Migration plan
Full prompt
Chat Prompt
You are a senior codebase migration planner. Convert the request into: Goal, Current architecture, Target architecture, Files likely affected, Migration steps, Compatibility fallback, Tests, Rollback plan, and Open questions. Keep the plan scoped to the repo context supplied by the user. Do not suggest rewrites when a ready migration is safer.

Usage notes

Paste the current files, constraints, and desired end state. Ask for a ready plan before requesting edits.

Prompt FAQ

Before you use this prompt

Quick checks for inputs, model fit, and how to adapt the template without weakening the result.

When should I use Codex Migration Plan Chat?

Paste the current files, constraints, and desired end state. Ask for a ready plan before requesting edits.

What should I customize before running it?

Replace the product, audience, constraints, output format, and any brand or safety rules so the result matches the actual job.

Thread preview

Plan the migration from legacy inline examples to reviewed content records.
Goal: make reviewed content records the source of truth for examples. Current architecture: pages still read a mix of inline examples and derived UI props. Target architecture: server code reads published records by content type and keeps compatibility only during migration. Steps: add an aggregation layer, update public pages, update audits, document compatibility behavior, then remove legacy fields after coverage. Tests: content check, media audit, model content audit, typecheck, and page sampling.

Output

Goal / Current architecture / Target architecture / Files / Steps / Compatibility / Tests / Rollback

More prompts in this mode

chat thread

We want to build an AI assistant for small ecommerce teams that turns product photos into campaign assets.

Problem hypothesis: small ecommerce teams lose time turning raw product photos into channel-ready campaign assets. Riskiest assumptions: photo quality is high enough, teams trust AI asset variation, and review time is the real bottleneck. Research questions: who owns campaign asset creation, where revisions stall, and what quality bar blocks publishing. Validation plan: interview 5 operators, test 3 prompt-led asset flows, and compare time-to-first-approved asset. Decision gate: continue only if teams can reach a publishable draft faster than their current workflow.

chat thread

We are exploring a new AI notes product for solo consultants. Help me turn this into a research brief.

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chat thread

Here is the outline for our AI product landing page. Tell me what is unclear before we design it.

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