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OpenAI Codex

Inheriting a complex project can be challenging. This course will teach you to use OpenAI Codex as an AI partner to refactor, secure, and maintain any codebase.

Pratheerth Padman - Pluralsight course - OpenAI Codex
by Pratheerth Padman

What you'll learn

Inheriting an undocumented legacy project can be a major roadblock for any developer, slowing down progress and introducing risk. In this course, OpenAI Codex, you’ll learn to integrate an AI partner into your development workflow to improve and maintain any codebase with confidence. First, you’ll explore how to use Codex to understand a codebase, fix bugs, and submit your changes through a pull request. Next, you’ll discover how to use Codex as a partner for a deep code review, after which you’ll learn to refactor for quality and efficiency, and perform a security audit to patch vulnerabilities. Finally, you’ll learn how to visualize your project’s architecture, configure the execution environment for complex tasks, and verify your AI-assisted changes with automated checks. When you’re finished with this course, you’ll have the skills and knowledge of OpenAI Codex needed to integrate an AI partner into your development workflow to improve and maintain any codebase.

Table of contents

About the author

Pratheerth Padman - Pluralsight course - OpenAI Codex
Pratheerth Padman

Pratheerth is a freelance Data Scientist who has entered the field after an eclectic mix of educational and work experiences.

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