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AI for Developers
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A practical guide to AI-assisted developer productivity, covering prompt design, code review workflows, test generation, codebase search, structured outputs, evaluation, security, cost controls, retrieval, CI integration, and governance.
Level: beginnerLanguage: EN EnglishRating: 0Reviews: 0
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01Appendix A: Commands and Workflow Cheat Sheet02Appendix B: Reference Architectures and Patterns03Appendix C: Common Mistakes and Fixes04Appendix D: Best Practices Summary05Chapter 1: Introduction to AI for Developer Productivity06Chapter 2: Prompting for Coding Tasks07Chapter 3: AI Pair Programming and Code Generation08Chapter 4: Code Review, Refactoring, and Explanation Workflows09Chapter 5: Test Generation and Debugging Assistance10Chapter 6: Documentation, Changelogs, and Summaries11Chapter 7: AI for Search, Q&A, and Codebase Navigation12Chapter 8: Internal Developer Assistants and Chatops13Chapter 9: Structured Outputs and Developer Workflows14Chapter 10: Evaluation and Quality Control for AI Helpers15Chapter 11: Security, Privacy, and Prompt Safety16Chapter 12: Cost, Rate Limits, and Usage Policy17Chapter 13: Embeddings and Retrieval for Dev Knowledge Bases18Chapter 14: Integrating AI into CI and PR Workflows19Chapter 15: Capstone: Build a Developer Copilot Workflow20Chapter 16: Capstone: Govern and Improve It
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