Coding with AI

Title:

Coding with AI

Author:

Minnick, Chris, author.

ISBN:

9781394249138

Publication Information:

John Wiley & Sons, Inc.,

Physical Description:

1 volume : illustrations ; 24 cm.

Series:

For dummies

--For dummies.

Abstract:

"Coding with AI For Dummies introduces you to the many ways that artificial intelligence can make your life as a coder easier. Even if you�re brand new to using AI, this book will show you around the new tools that can produce, examine, and fix code for you. With AI, you can automate processes like code documentation, debugging, updating, and optimization. The time saved thanks to AI lets you focus on the core development tasks that make you even more valuable. Learn the secrets behind coding assistant platforms and get step-by-step instructions on how to implement them to make coding a smoother process. Thanks to AI and this Dummies guide, you'll be coding faster and better in no time"-- Provided by publisher.

Publication Date:

2024

Holds:

Available:*

Library	Material Type	Shelf Number	Status
Searching... Englewood	Book	005.133 MINNICK	Searching... Unknown
Searching... Port Charlotte	Book	005.133 MINNICK	Searching... Unknown

Bound With These Titles

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Summary

Boost your coding output and accuracy with artificial intelligence tools

Coding with AI For Dummies introduces you to the many ways that artificial intelligence can make your life as a coder easier. Even if you're brand new to using AI, this book will show you around the new tools that can produce, examine, and fix code for you. With AI, you can automate processes like code documentation, debugging, updating, and optimization. The time saved thanks to AI lets you focus on the core development tasks that make you even more valuable. Learn the secrets behind coding assistant platforms and get step-by-step instructions on how to implement them to make coding a smoother process. Thanks to AI and this Dummies guide, you'll be coding faster and better in no time.

Discover all the core coding tasks boosted by artificial intelligence Meet the top AI coding assistance platforms currently on the market Learn how to generate documentation with AI and use AI to keep your code up to date Use predictive tools to help speed up the coding process and eliminate bugs

This is a great Dummies guide for new and experienced programmers alike. Get started with AI coding and expand your programming toolkit with Coding with AI For Dummies .

Introduction	1
About This Book	2
Foolish Assumptions	3
Icons Used in This Book	4
Beyond the Book	5
Where to Go from Here	5
Part 1 Techniques and Technologies	7
Chapter 1 How Coding Benefits from AI	9
Banishing Boring Tasks	9
Spotting boring tasks	10
Letting AI write the template	10
Crafting CRUD with AI	14
Helping with Syntax	20
Stop remembering trivial details	20
Hinting at code mastery	21
Adapting to new syntax	22
Linting with AI	24
Detecting bad code with static code analysis	25
Integrating AI with static code analysis	26
Using AI as a Tutor	26
Studying AI's potential in education	26
Avoiding potential pitfalls	27
Pairing Up with AI	27
Overview of pair programming styles	28
Understanding the pros and cons of pair programming with AI	28
AI pair programming session	29
Chapter 2 Parsing Machine Learning and Deep Learning	37
Decoding Machine and Deep Learning	38
Defining key concepts	38
Thinking about neural networks	39
Training and testing models	41
Demystifying Natural-Language Processing	43
History of NLP	44
Overcoming the challenges of NLP	45
Understanding Transformers	48
Learning to pay attention	48
Getting tokens	49
Illuminating Generative AI Models	53
Recognizing AI's Limitations	54
Language models are bad at math	54
Language models are wordy	54
AI has limited knowledge	55
AI lacks common sense	55
AI has accuracy issues	56
AI has the potential to be biased	56
Chapter 3 AI Coding Tools	57
Navigating GitHub Copilot	57
Installing the Copilot plug-in	58
Working efficiently with Copilot	59
Using keyboard shortcuts	63
Exploring Tabnine	64
Installing Tabnine	65
Setting up Tabnine	66
Understanding Tabnine's AI-driven code completion	67
Reviewing Replit	68
Starting a website with Replit	70
Exploring the Replit workspace	71
Pairing up with Replit AI	73
Chapter 4 Coding with Chatbots	79
Improving Your Prompts	79
Adjusting the temperature	80
Deciphering the elements of a prompt	82
Open-ended versus closed-ended prompts	83
Using different types of prompts	83
Prompting like a pro	86
Chatting with Copilot	87
Understanding slash commands	87
Knowing Copilot's agents	88
Getting the most out of Copilot Chat	88
Chatting with ChatGPT	91
Signing up and setting up	91
Setting custom instructions	92
Diving into the OpenAI Platform	96
Checking your credits	97
Messing around in the playground	98
Running examples	99
Playing the roles	100
Adjusting the model's settings	101
Getting an API key	102
Developing a Chatbot with OpenAI	103
Part 2 Using AI to write Code	109
Chapter 5 Progressing from Plan to Prototype	111
Understanding Project Requirements	111
Determining the software requirements	112
Domain requirements	112
Functional requirements	113
Non-functional requirements	114
Writing an SRS	115
Generating Code from an SRS	118
Using a zero-shot approach	118
Breaking down the problem	120
Blending Manually Written and AI-Generated Code	121
Writing the prompt	121
Writing the server	122
Submitting follow-up prompts	125
Testing the server	125
Implementing few-shot prompting on the server	127
Improving the client	130
Moving logic from AI to the client	133
Tips and Tricks for Code Generation	136
Don't stop coding	137
Be specific	137
Think in steps	137
Ask follow-up questions	137
Check the official documentation	137
Use examples and context	138
Prioritize security	138
Keep learning	138
Keep your tools updated	138
Be mindful of AI's limitations	138
Chapter 6 Formatting and Improving Your Code	139
Using AI Tools for Code Formatting	139
Setting up your formatting tools	140
Using Prettier to automate code formatting	142
Refactoring with AI	147
Recognizing code smells	147
Detecting code smells with Copilot	151
Refactoring safely	153
Generating Refactoring Suggestions	154
Setting event listeners correctly	154
Removing the magic number	155
Reducing global data	156
Fixing long functions	157
Fixing inconsistent naming	158
Lack of comments	159
Making AI play tic-tac-toe better	160
Chapter 7 Finding and Eliminating Bugs	167
Knowing Your Bugs	168
Strategies for detecting bugs	168
Identifying common types of bugs	168
AI-assisted bug reporting with Jam	170
Preventing Bugs with Linting	173
Installing a linter	173
Installing the ESLint extension	174
Fixing your code with a linter	176
Combining linting with AI	177
Changing the rules	180
Detecting Bugs with AI	182
Automating Bug Fixes with AI	185
Introducing Snyk	185
Executing automated bug fixes	188
Verifying automated bug fixes	190
Knowing when to automate	191
Chapter 8 Translating and Optimizing Code	195
Translating Code to Other Languages	195
Preparing your code for translation	196
Exploring translation strategies	197
Translating a complete program using GPT-4	201
Verifying translated code	203
Optimizing Your Code with AI	204
Getting code optimization suggestions	205
Avoiding premature optimization	209
Part 3 Testing, Documenting, and Maintaining Your Code	211
Chapter 9 Testing Your Code	213
Writing a Test Plan	214
Deciding between formal and agile	214
Stepping through the test planning process	214
Understanding the role of AI in test planning	215
Identifying core functionalities	216
Generating test scenarios	217
Working with a Testing Framework	219
Installing Jest	219
Running Jest	222
Generating test cases	222
Reading a coverage report	226
Analyzing test results	226
Test-Driven Development with AI	231
Chapter 10 Documenting Your Code	239
Working with Documentation Bots	240
Building your own documentation bot	240
Testing your documentation assistant	243
Generating Code Comments and Annotations	245
Installing and testing Mintlify Doc Writer	245
Commenting on Underscore	247
Creating Visual Documentation	250
Generating a sequence diagram	251
Generating a requirements diagram	252
Automating API Documentation with AI	255
Documenting a REST API	256
Creating an API documentation chatbot	260
Chapter 11 Maintaining Your Code	267
Knowing the Four Types of Maintenance	267
Corrective software maintenance	268
Adaptive software maintenance	269
Perfective software maintenance	269
Preventative software maintenance	269
Utilizing AI for Code Maintenance	270
Enhancing Code Quality with AI	271
Understanding technical debt	272
Getting started with Code Climate	273
Enabling the text coverage report	276
Analyzing code quality metrics	276
Making AI-assisted code quality improvements	277
Part 4 The Part of Tens	285
Chapter 12 Ten More Tools to Try	287
Amazon CodeWhisperer	287
Sourcegraph Cody	288
DeepMind AlphaCode	289
Google Bard	290
Codeium	291
Claude	292
Microsoft IntelliCode	293
Sourcery	294
Bugasura	295
UserWay	296
Chapter 13 Ten AI Coding Resources	299
Code.org's AI Resources	299
Kaggle	300
Google's Dataset Search	301
edX	302
Edabit	303
StatQuest	304
AI4All Open Learning	305
Gymnasium	306
Fast.ai	307
Microsoft Learn	308
Index	311

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