Coding with AI

Title Page
Copyright Page
Table of Contents
Introduction
	About This Book
	Foolish Assumptions
	Icons Used in This Book
	Beyond the Book
	Where to Go from Here
Part 1 Techniques and Technologies
	Chapter 1 How Coding Benefits from AI
		Banishing Boring Tasks
			Spotting boring tasks
			Letting AI write the template
			Crafting CRUD with AI
		Helping with Syntax
			Stop remembering trivial details
			Hinting at code mastery
			Adapting to new syntax
		Linting with AI
			Detecting bad code with static code analysis
			Integrating AI with static code analysis
		Using AI as a Tutor
			Studying AI’s potential in education
			Avoiding potential pitfalls
		Pairing Up with AI
			Overview of pair programming styles
			Understanding the pros and cons of pair programming with AI
			AI pair programming session
				Installing Copilot
				Using prompting to create a trivia game
	Chapter 2 Parsing Machine Learning and Deep Learning
		Decoding Machine and Deep Learning
			Defining key concepts
			Thinking about neural networks
				Input layer
				Hidden layer
				Output layer
			Training and testing models
		Demystifying Natural-Language Processing
			History of NLP
			Overcoming the challenges of NLP
				Understanding supervised and unsupervised learning
				Language generation techniques
		Understanding Transformers
			Learning to pay attention
			Getting tokens
		Illuminating Generative AI Models
		Recognizing AI’s Limitations
			Language models are bad at math
			Language models are wordy
			AI has limited knowledge
			AI lacks common sense
			AI has accuracy issues
			AI has the potential to be biased
	Chapter 3 AI Coding Tools
		Navigating GitHub Copilot
			Installing the Copilot plug-in
			Working efficiently with Copilot
				Specify your goal
				Break things down
				Give examples
				Open related files
			Using keyboard shortcuts
		Exploring Tabnine
			Installing Tabnine
			Setting up Tabnine
			Understanding Tabnine’s AI-driven code completion
		Reviewing Replit
			Starting a website with Replit
			Exploring the Replit workspace
				The sidebar
				Tabs and panes
			Pairing up with Replit AI
	Chapter 4 Coding with Chatbots
		Improving Your Prompts
			Adjusting the temperature
			Deciphering the elements of a prompt
			Open-ended versus closed-ended prompts
			Using different types of prompts
				Zero-shot prompting
				Few-shot prompting
				Chain-of-thought prompting
			Prompting like a pro
		Chatting with Copilot
			Understanding slash commands
			Knowing Copilot’s agents
			Getting the most out of Copilot Chat
		Chatting with ChatGPT
			Signing up and setting up
			Setting custom instructions
				Telling ChatGPT about you
				Telling ChatGPT your expectations
		Diving into the OpenAI Platform
			Checking your credits
			Messing around in the playground
			Running examples
			Playing the roles
			Adjusting the model’s settings
			Getting an API key
		Developing a Chatbot with OpenAI
Part 2 Using AI to Write Code
	Chapter 5 Progressing from Plan to Prototype
		Understanding Project Requirements
			Determining the software requirements
			Domain requirements
			Functional requirements
			Non-functional requirements
			Writing an SRS
		Generating Code from an SRS
			Using a zero-shot approach
			Breaking down the problem
		Blending Manually Written and AI-Generated Code
			Writing the prompt
			Writing the server
			Submitting follow-up prompts
			Testing the server
			Implementing few-shot prompting on the server
			Improving the client
			Moving logic from AI to the client
		Tips and Tricks for Code Generation
			Don’t stop coding
			Be specific
			Think in steps
			Ask follow-up questions
			Check the official documentation
			Use examples and context
			Prioritize security
			Keep learning
			Keep your tools updated
			Be mindful of AI’s limitations
	Chapter 6 Formatting and Improving Your Code
		Using AI Tools for Code Formatting
			Setting up your formatting tools
			Using Prettier to automate code formatting
		Refactoring with AI
			Recognizing code smells
				Dispensables
				Bloaters
				Abusers
				Couplers
				Change preventers
				Additional categories of code smells
			Detecting code smells with Copilot
			Refactoring safely
		Generating Refactoring Suggestions
			Setting event listeners correctly
			Removing the magic number
			Reducing global data
			Fixing long functions
			Fixing inconsistent naming
			Lack of comments
			Making AI play tic-tac-toe better
	Chapter 7 Finding and Eliminating Bugs
		Knowing Your Bugs
			Strategies for detecting bugs
			Identifying common types of bugs
			AI-assisted bug reporting with Jam
		Preventing Bugs with Linting
			Installing a linter
			Installing the ESLint extension
			Fixing your code with a linter
			Combining linting with AI
			Changing the rules
		Detecting Bugs with AI
		Automating Bug Fixes with AI
			Introducing Snyk
			Executing automated bug fixes
			Verifying automated bug fixes
			Knowing when to automate
	Chapter 8 Translating and Optimizing Code
		Translating Code to Other Languages
			Preparing your code for translation
			Exploring translation strategies
			Translating a complete program using GPT-4
			Verifying translated code
		Optimizing Your Code with AI
			Getting code optimization suggestions
			Avoiding premature optimization
Part 3 Testing, Documenting, and Maintaining Your Code
	Chapter 9 Testing Your Code
		Writing a Test Plan
			Deciding between formal and agile
			Stepping through the test planning process
			Understanding the role of AI in test planning
			Identifying core functionalities
			Generating test scenarios
		Working with a Testing Framework
			Installing Jest
			Running Jest
			Generating test cases
			Reading a coverage report
			Analyzing test results
		Test-Driven Development with AI
	Chapter 10 Documenting Your Code
		Working with Documentation Bots
			Building your own documentation bot
			Testing your documentation assistant
		Generating Code Comments and Annotations
			Installing and testing Mintlify Doc Writer
			Commenting on Underscore
		Creating Visual Documentation
			Generating a sequence diagram
			Generating a requirements diagram
		Automating API Documentation with AI
			Documenting a REST API
			Creating an API documentation chatbot
	Chapter 11 Maintaining Your Code
		Knowing the Four Types of Maintenance
			Corrective software maintenance
			Adaptive software maintenance
			Perfective software maintenance
			Preventative software maintenance
		Utilizing AI for Code Maintenance
		Enhancing Code Quality with AI
			Understanding technical debt
			Getting started with Code Climate
			Enabling the text coverage report
			Analyzing code quality metrics
			Making AI-assisted code quality improvements
Part 4 The Part of Tens
	Chapter 12 Ten More Tools to Try
		Amazon CodeWhisperer
		Sourcegraph Cody
		DeepMind AlphaCode
		Google Bard
		Codeium
		Claude
		Microsoft IntelliCode
		Sourcery
		Bugasura
		UserWay
	Chapter 13 Ten AI Coding Resources
		Code.org’s AI Resources
		Kaggle
		Google’s Dataset Search
		edX
		Edabit
		StatQuest
		AI4All Open Learning
		Gymnasium
		fast.ai
		Microsoft Learn
Index
EULA