OpenAI Codex (GPT-4o Integrated)

Incorporate legacy source code into the prompt context.

Request the model to identify core business logic.

Generate modern framework equivalents (e.g., FastAPI or Spring Boot).

Validate logic parity using generated unit tests.

Trigger API call on Pull Request creation.

Compare diffs against architectural guidelines.

Post comments highlighting potential logic flaws or style violations.

Suggest optimized alternatives directly in the PR.

Crawl the repository for undocumented functions.

Feed function signatures and bodies to the API.

Generate comprehensive README.md and API references.

Auto-update documentation on every main branch commit.

Expose database schema (no data) to the API.

Stakeholder inputs a natural language question (e.g., 'What was the Q3 churn?').

API generates a valid SQL query.

Application executes the query and returns results.

Upload screenshot or wireframe to GPT-4o (Vision capability).

Prompt for Tailwind CSS and React component generation.

Iterate on specific UI elements via chat.

Export code directly to the frontend repository.

Pipe production error logs into the OpenAI API.

Include the relevant source code snippet.

The API explains the root cause in plain English.

API provides a patch to resolve the issue.

Input the desired function requirements.

Request the API to generate the test suite first.

Use the API to generate code that passes those tests.

Iterate until 100% test pass rate is achieved.