فهرست مطالب

• Coding with ChatGPT and Other LLMs
• Contributors
• About the author
• About the reviewers
• Preface
• Part 1: Introduction to LLMs and Their Applications
• Chapter 1: What is ChatGPT and What are LLMs?
• Introduction to LLMs
• Origins of LLMs
• Early LLMs
• Exploring modern LLMs
• How Transformers work
• A note on the mathematics of LLMs
• Applications of LLMs
• Summary
• Bibliography
• Chapter 2: Unleashing the Power of LLMs for Coding: A Paradigm Shift
• Technical requirements
• Unveiling the advantages of coding with LLMs
• Planning your LLM-powered coding
• Getting into LLM-powered coding
• Making it work for you
• Summary
• Chapter 3: Code Refactoring, Debugging, and Optimization: A Practical Guide
• Technical requirements
• Dealing with error codes – debugging
• Refactoring code
• Documenting code
• Testing code
• Virtual software companies
• Summary
• Part 2: Be Wary of the Dark Side of LLM-Powered Coding
• Chapter 4: Demystifying Generated Code for Readability
• Technical requirements
• Generating more readable code
• What makes code hard or easy to read?
• Summarizing code for understanding
• Generating documentation
• Summary
• Bibliography
• Chapter 5: Addressing Bias and Ethical Concerns in LLM-Generated Code
• Technical requirements
• Understanding bias in LLM-generated code
• Examining ethical dilemmas – challenges in LLM-enhanced working
• Detecting bias – tools and strategies
• Preventing biased code – coding with ethical considerations
• Summary
• Bibliography
• Chapter 6: Navigating the Legal Landscape of LLM-Generated Code
• Technical requirements
• Unraveling copyright and intellectual property considerations
• Addressing liability and responsibility for LLM-generated code
• Examining legal frameworks governing the use of LLMs in coding
• Possible future of the regulation of AI-generated code
• Summary
• Bibliography
• Chapter 7: Security Considerations and Measures
• Technical requirements
• Understanding the security risks of LLMs
• Implementing security measures for LLM-powered coding
• Making the future more secure
• Summary
• Bibliography
• Part 3: Explainability, Shareability, and the Future of LLM-Powered Coding
• Chapter 8: Limitations of Coding with LLMs
• Technical requirements
• Inherent limitations of LLMs
• Challenges in integrating LLMs into coding workflows
• Future research directions to address limitations
• Summary
• Bibliography
• Chapter 9: Cultivating Collaboration in LLM-Enhanced Coding
• Technical requirements
• Why share LLM-generated code?
• Best practices for code sharing
• Knowledge management – capturing and sharing expertise
• Making the best use of collaborative platforms
• Summary
• Bibliography
• Chapter 10: Expanding the LLM Toolkit for Coders: Beyond LLMs
• Technical requirements
• Code completion and generation tools
• SCA and code review tools
• Testing and debugging tools
• Summary
• Bibliography
• Part 4: Maximizing Your Potential with LLMs: Beyond the Basics
• Chapter 11: Helping Others and Maximizing Your Career with LLMs
• Why Mentor Others in LLM-powered coding?
• Other Ways to Share Your Expertise and Work
• Attend, Build, Network
• New Approaches from LLMs
• Summary
• Bibliography
• Chapter 12: The Future of LLMs in Software Development
• Technical requirements
• Emerging trends in LLM technologies
• Future impacts
• Coming challenges and opportunities
• Summary
• Bibliography
• Index
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