The Art of Effortless Programming
The Art of Effortless Programming
Unleashing the Power of AI Driven Development
About the Book
Transform your software creation process with AI Driven Development (AIDD). Learn to harness AI to generate programs, unlocking 10x - 20x productivity gains while building components, tests, and documentation. Written for software engineers, product managers, code conjurers and aspiring tinkerers, this book teaches you to express complex functional requirements using natural language with the precision of code, utilizing SudoLang - a language designed specifically for communicating ideas to AI language models. You'll learn to streamline your workflow, reduce code complexity, and craft more intelligent, responsive applications that adapt to user needs.Design and implement AI-powered applications using SudoLang, and any common programming language or framework. Examples will use JavaScript, Next.js, and React.
You'll learn how to:
- Leverage AI language models to generate code, tests, and documentation, streamlining the development process.
- Enhance software with AI-first user experiences that meet the needs of users better than hard-coded, traditional software interfaces can.
- Apply constraint-based, interface-oriented, and functional programming techniques to create modular, reusable, and maintainable AI-driven code.
- Integrate long-term memory, plugins, and search capabilities into AI-driven applications.
- Collaborate with team members and stakeholders in the development, deployment, and maintenance of AI-powered applications.
About the Author
Reader Testimonials
Rogerio
Thank you
"I wanted to take a moment to express my deep gratitude for your incredible work in developing the programming language SudoLang. [...] The techniques you’ve created for SudoLang have significantly enhanced my work, especially in terms of efficiency and token economy. The results I am seeing with my prompts, both in token usage and effectiveness when using OpenAI’s API with automated AI assistance, are simply outstanding." ~ Rogerio
Table of Contents
- Preface
- What’s Covered
- How This Book Is Different
- Who Should Read This Book
- Conventions Used in This Book
- Using Code Examples
- Introduction to AI Driven Development
- What is AI Driven Development?
- Why AI Driven Development?
- Modes of AI Driven and AI Assisted Development
- How can we use AI Driven Development?
- What is Pseudocode?
- Getting Started with SudoLang: Building a Virtual Pet Chatbot
- SudoLang Fundamentals
- Introduction to SudoLang Features
- Anatomy of a SudoLang Program
- Basic Syntax and Structure
- Common Pitfalls and How to Avoid Them
- Advanced SudoLang Techniques
- Programming Paradigms in SudoLang
- Interface-Oriented Programming
- Constraint-Based Programming
- Functional and Declarative Approaches
- Component Composition
- Metaprogramming Techniques
- Common Patterns and Idioms
- AI Development Patterns and Recipes
- Code Generation and Transformation
- Documentation and Testing
- Debugging and Troubleshooting
- Code Review and Refactoring
- Security Best Practices
- Working with Different Programming Languages
- Development Process and Workflows
- Building AI-First Applications
- Language as the Ultimate UI
- Designing AI-First Experiences
- Building Intelligent Chatbots
- Creating Autonomous Agents
- Integrating with External Services
- Handling State and Memory
- Error Handling and Recovery
- Plugins and Extensions
- Chapter 6: Retrieval-Augmented Generation (RAG)
- Understanding RAG: Beyond Context Window Extensions
- The RAG Architecture
- Effective Chunking Strategies
- Multi-Vector Retrieval
- Dynamic Context Assembly
- Implementing RAG in AI-First Applications
- RAG for Code-Centric Applications
- Evaluating RAG System Performance
- Conclusion
- References
- Real-World Projects
- Building a Virtual Assistant
- Creating an AI-Powered Code Review System
- Developing a Smart Documentation Generator
- Implementing an AI Testing Framework
- Building an Intelligent UI Component Library
- Case Studies and Best Practices
- Development Metrics for AI Driven Development
- Introduction to Metrics in AIDD
- App Success Metrics
- Development Team Productivity Metrics
- Code Quality Metrics
- AI-Specific Development Metrics
- Integrating Metrics into AI-Driven Development
- Conclusion
- References
- Introduction to AI Language Models
- What is a Large Language Model?
- Key Milestones
- Conclusion
- Capabilities
- AI Understands Language
- Symbolic Systems vs Deep Neural Networks
- The Missing Information Problem
- AI Consciousness and Subjectivity
- Emotional Intelligence and Empathy
- Debunking the Chinese Room Argument.
- Limitations and Workarounds
- Conclusion
- Transformer Architecture Primer
- Key Points
- How Attention Captures Semantic Features
- Latent Space
- Training
- Autoregression and Planning
- The Missing Introduction to Calculus for AI
- How Thinking Works in High Dimensional Space
- Gradient Descent and Backpropagation
- What does it all mean?
- Glossary
- Preface
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