GPT-5.1-Codex-Max Is Deprecated: Move the VS Code Workflow to Current Codex

Correction added July 26, 2026: OpenAI's model page labels gpt-5.1-codex-max as deprecated. The older prompt examples below remain as a 2025 record, not as a recommendation for a new project. Official model page

Migrate before reusing the old prompts

1. Update the Codex extension using the official IDE guide. OpenAI documents VS Code and compatible editors such as Cursor and Windsurf. Codex IDE extension
2. Do not hard-code a model name in the prompt. Select a model currently available in the product or configuration.
3. If a comparison matters, run the same bug fix, tests, and cost ceiling with both workflows.
4. Keep diff review, tests, and approval for destructive actions after the model change.

SEO and Discover text generation in the old article is not a capability specification for a Codex model, and no model setting guarantees search placement.

Introduction

The following section preserves prompt-design examples from 2025. This article did not run a controlled comparison, so it does not claim that efficiency improves “dramatically” or that prompt wording alone determines performance.

The most effective method is
Refining prompts in ChatGPT → Running them through Codex-Max for implementation
— a “two-step approach.”

This article covers:

• Prompt techniques for getting the most out of Codex-Max
• The optimal workflow for integrating with VS Code
• Text structures optimized for Discover
• Adding items with SEO in mind
• A wealth of prompt examples

This is a comprehensive guide that brings it all together.

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Benefits of Combining Visual Studio Code and GPT-5.1-Codex-Max

Codex-Max speeds up the following tasks within VS Code:

• Automated generation of large-scale code
• Function-level modifications and improvements
• Bug detection and error correction
• Automating API implementation
• Creating folder structures and initial file templates
• Generating test code
• Refactoring and improving naming conventions

Stating the task, constraints, and validation method improves reproducibility, but development speed is not determined by prompting alone. Repository state, permissions, tests, and dependencies also affect the result.

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Prompt Design to Maximize Codex-Max Performance (SEO-Optimized Edition)

1. Clearly state the objective in one line

Avoid vague descriptions and state concisely what you are building.

Example:
“Create a ToDo app with a login feature using Next.js”

2. Always specify the tech stack

Codex optimizes the generated code based on language and version information.

Example:

• Next.js 16
• TypeScript 5
• Firebase Authentication
• Recharts 2.x

3. Be Specific About the Specifications (Key SEO Factor)

• Functional requirements
• Input / Output
• State management methods
• API behavior
• UI component structure
• Error handling
• Edge cases

4. Specify the directory structure

This alone significantly improves the accuracy of Codex’s output.

Example:

/app
  /login
  /dashboard
  /api
/components
/utils

5. Specify the Output Format

Outputting in the order “filename → code” makes it easier to use in VS Code.

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“Codex-Max-Exclusive Prompt Collection” to Generate with ChatGPT

Here’s a compilation of “practical and powerful” prompts you won’t find in other articles.

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🔥 Prompt Example 1: Generate a Full Project

You are GPT-5.1-Codex-Max.
Please create a task management app with user login using Next.js 16 and TypeScript.

[Objective]
Build a web app capable of user authentication and task management.

[Tech Stack]
Next.js 16
TypeScript 5
Firebase Authentication
Recharts 2.x

[Specifications]
1. Login, logout, and new user registration
2. Add, delete, and edit tasks
3. Chart display (Recharts)
4. Simple and responsive UI
5. The API should be implemented in REST format at /api/task

【Directory Structure】
app/
  login/
  dashboard/
api/
components/
utils/

【Output Format】
Output in the following order: filename → full code.

Please generate the output based on the above.

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🔥 Prompt Example 2: Improving an Existing Project

Analyze the issues in the following code, propose three improvements, and provide the improved code.
- Type safety
- Reusability
- Error handling

Please optimize the improved code using TypeScript.

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🔥 Prompt Example 3: Automatic API Generation

Using the Next.js Route Handler, generate a CRUD API for `/api/user` in TypeScript.

[Requirements]
- Implement GET, POST, PUT, and DELETE
- Write types assuming the use of Prisma
- Enhance error handling
- Responses must be in JSON

Present in the order: filename → code.

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🔥 Prompt Example 4: Bug Fix Request

Running the following code results in an error.
Identify the cause, explain the reason, and provide the optimal corrected code.

Prioritize “safety,” “readability,” and “maintainability” in your corrected code.

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🔥 Prompt Example ⑤: Prompt for a VS Code Extension

Please create a VS Code extension.

[Features]
- A command to convert selected text to Base64
- Register it in the Command Palette
- Generate extension.ts and package.json

Output all necessary files.

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The Fastest Workflow for VS Code × Codex-Max

1. Have ChatGPT generate a prompt
2. Paste it into Codex-Max to generate code
3. Test it in VS Code
4. Have ChatGPT identify and organize any issues
5. Create a revised prompt
6. Send it back to Codex for improvement

Simply by repeating this process,
general users can achieve development speeds on par with professional engineers.

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“Key Points for Optimizing Article Structure” for Google Discover

Articles favored by Google Discover have the following characteristics:

• Clear conclusion
• Bulleted lists
• Practical step-by-step instructions
• Specific benefits for users
• Simple, conversational tone
• Expert yet easy-to-read content

This article is structured to meet all of these criteria.

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Summary (SEO + Enhanced User Experience)

• Codex-Max’s performance varies significantly depending on the prompt
• The most effective approach is a two-step process: ChatGPT → Codex-Max
• Specifying requirements and structure dramatically increases accuracy
• Integration with VS Code takes development speed to a “whole new level”
• Fully compatible with the structure evaluated by Discover

Actions You Can Take Right Now

1. Ask ChatGPT to design a prompt
2. Paste it into Codex-Max to generate output
3. Feed the output back to ChatGPT for refinement
4. Further polish the resulting code

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Discover-Compatible Text

Just by changing how you use AI a little, your development speed will evolve in surprising ways—take that first step right here, right now.