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AI for Developer Productivity

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This book teaches practical AI workflows for software developers. It covers prompting, code generation, review assistance, test generation, knowledge retrieval, developer copilots, governance, and workflow integration.

Level: intermediateLanguage: EN EnglishRating: 0Reviews: 0

Technology AI and Machine Learning AI GAUAB Academy Cloud Ai Machine Learning Productivity

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Book contents

01Chapter 1: Introduction to AI for Developer Productivity 02Chapter 2: Prompting for Coding Tasks 03Chapter 3: AI Pair Programming and Code Generation 04Chapter 4: Code Review, Refactoring, and Explanation Workflows 05Chapter 5: Test Generation and Debugging Assistance 06Chapter 6: Documentation, Changelogs, and Summaries 07Chapter 7: AI for Search, Q&A, and Codebase Navigation 08Chapter 8: Internal Developer Assistants and ChatOps 09Chapter 9: Structured Outputs and Developer Workflows 10Chapter 10: Evaluation and Quality Control for AI Helpers 11Chapter 11: Security, Privacy, and Prompt Safety 12Chapter 12: Cost, Rate Limits, and Usage Policy 13Chapter 13: Embeddings and Retrieval for Dev Knowledge Bases 14Chapter 14: Integrating AI into CI and PR Workflows 15Chapter 15: Capstone: Build a Developer Copilot Workflow 16Chapter 16: Capstone: Govern and Improve It 17Appendix A: Commands and Workflow Cheat Sheet 18Appendix B: Reference Architectures and Patterns 19Appendix C: Common Mistakes and Fixes 20Appendix D: Best Practices Summary

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