150 High Performance Codex Prompts for Developers
The Complete Prompt Library Organized by Task Type
カートのアイテムが多すぎます
カートに追加できませんでした。
ウィッシュリストに追加できませんでした。
ほしい物リストの削除に失敗しました。
ポッドキャストのフォローに失敗しました
ポッドキャストのフォロー解除に失敗しました
プレミアムプラン3か月 月額99円キャンペーン開催中 聴き放題対象外タイトルです。Audibleプレミアムプラン登録で、非会員価格の30%OFFで購入できます。
¥1,900 で購入
-
ナレーター:
-
Jon Mills's voice replica
この作品は、デジタルナレーションを使用しています
概要
Most developers use ChatGPT, GitHub Copilot, and other AI coding assistants like glorified autocomplete. A few use them as force multipliers that accelerate every aspect of software development, from initial architecture to final deployment.
150 High Performance Codex Prompts for Developers is your practical guide to becoming part of that elite group. This isn't another theoretical AI audiobook. It's a battle-tested collection of prompts engineered specifically for real-world software development workflows.
Inside you'll discover:
• 150 production-ready prompts optimized for ChatGPT, GitHub Copilot, Claude, and other AI coding assistants
• Language-specific prompts for Python, JavaScript, TypeScript, Java, C#, Go, and more popular programming languages
• Architecture and design prompts that help you build scalable backends, responsive frontends, and robust APIs
• Debugging and refactoring prompts that turn legacy code into clean, maintainable systems
• Testing prompts for unit tests, integration tests, and comprehensive test coverage
• Documentation prompts that generate clear technical docs, code comments, and onboarding guides
• Performance optimization prompts for identifying bottlenecks and improving code efficiency
• Security-focused prompts for writing secure code and identifying vulnerabilitiesPerfect for:
• Software engineers who want to boost productivity with AI coding assistants
• Full-stack developers working across multiple technologies and frameworks
• Freelance programmers looking to deliver client projects faster and with higher quality
• Computer science students and bootcamp graduates seeking a competitive edge
• Tech leads introducing AI prompt best practices to their development teams
©2026 Michael Patterson (P)2026 Michael Patterson