In the AI era, when programmers encounter ChatGPT, development efficiency soars!

Article directory

ChatGPT speeds up development
New book recommendations
- "How to develop programmers in the AI era: ChatGPT gives programmers wings"

ChatGPT speeds up development

Artificial intelligence is one of the hottest topics today, and ChatGPT is one of the most popular natural language processing models in the field of artificial intelligence. ChatGPT is widely used in chat robots, intelligent customer service, automatic code generation and other fields, and provides many practical tools and suggestions to speed up development. In this article, we’ll explore how ChatGPT can speed up development and provide some practical tips and advice.

1. ChatGPT automatically generates code

ChatGPT can automatically generate some basic codes, such as user registration, login, password reset, etc., thereby reducing developers' time in writing code. Automatically generated code is typically more concise and easier to maintain than manually written code, and can reduce the occurrence of errors and vulnerabilities. In addition, automatically generated code can improve development efficiency and thus shorten development time.

2. Optimize code structure

ChatGPT can help developers optimize code structure, improve code readability and maintainability, thereby shortening development time. While generating code, ChatGPT can check whether the structure of the code complies with best practices and provide suggestions for improvements. For example, it can help users organize their code better, use more descriptive variable and function names, add comments, etc. In addition, ChatGPT can also generate corresponding codes according to user needs and restrictions, thereby improving programming efficiency and quality.

3. Automated testing

ChatGPT can automatically execute some test cases, thereby reducing testing time and testing costs. Automated testing can improve test coverage and efficiency, reduce test time and error rates, thereby speeding up development progress.

4. Intelligent recommendation

ChatGPT can intelligently recommend some functions and features based on developers' needs, thereby speeding up development progress. For example, if a developer needs to implement a certain function, ChatGPT can intelligently recommend the corresponding code and algorithm based on past experience and best practices, thereby reducing development time and error rates.

5. Practical application of ChatGPT in development

ChatGPT has a wide range of practical applications in development. For example, in chat robots and intelligent customer service systems, ChatGPT can help developers automatically generate some basic code, thereby reducing the time of writing code. In terms of automatically generating code, ChatGPT can help developers quickly generate some basic code, thereby reducing development time. In terms of automated testing, ChatGPT can help developers automatically execute some test cases, thereby reducing testing time and testing costs. In terms of intelligent recommendations, ChatGPT can intelligently recommend some functions and features based on developers’ needs, thus speeding up development progress.

6. Summary

ChatGPT can provide developers with some practical tools and suggestions to help them develop high-quality applications faster. By automatically generating code, optimizing code structure, automated testing, intelligent recommendations, etc., ChatGPT can help developers shorten development time and improve development efficiency and quality. In practical applications, developers can choose appropriate ChatGPT functions based on actual needs, thereby speeding up development progress and improving development quality.

New book recommendations

"How to develop programmers in the AI era: ChatGPT gives programmers wings"

Insert image description here

$ChatGPT makes programmers ’ development efficiency soar!$

New Model for Programmer Development: A book focused on helping programmers achieve promotion and improve efficiency in the AI era.
The book introduces how to use ChatGPT to complete high-quality code writing, document writing, software design and other aspects, and demonstrates the application method of ChatGPT in actual project development through practical cases.

Develop new models : Make program development more efficient, faster, and more perfect.
Full process analysis : covering different application scenarios of ChatGPT, from writing various documents, to assisting in demand analysis and system design, as well as database design and development of high-quality code and other key skills in program development using ChatGPT.
Practical test : ChatGPT combines a variety of programming development tools and practical case explanations to provide a more thorough understanding.
100% improvement in development efficiency : Revealing the core methodology and practical experience of efficient integration of ChatGPT and development work.
Value-for-money resources : Free case source files, teaching videos and supporting tools throughout the book are provided for readers to download and study.

brief introduction

This book is a practical manual introducing how to use ChatGPT. It uniquely establishes a new programmer development model. This book starts with an introduction to " First Contact with ChatGPT " and provides an in-depth analysis of how to use this tool to improve development efficiency and quality. Each chapter of this book covers different application scenarios of ChatGPT, from writing various documents to assisting in demand analysis and system design, as well as database design and development of high-quality code, etc., all are explained in detail. Readers will learn how to use ChatGPT, an AI tool, to assist programmers in developing software more efficiently.

This book also specifically introduces how to use ChatGPT to assist in system testing and task management, and conducts an in-depth analysis of the underlying logic of the source code. This comprehensive framework will help readers better manage and optimize code during the software development process. Finally, the book ends with two practical cases:

The first one is to use ChatGPT to assist in developing the PetStore pet store project.
The second is to use ChatGPT to assist in the development of the "My Notes" App.

These two practical cases will help readers better understand how to introduce ChatGPT into specific software development.

In short, if you are a programmer who loves software development and if you want to have a new generation of intelligent programming methods, this book will be an indispensable reference book for you.

Author profile

Guan Dongsheng , an experienced programmer, well-known training expert, and best-selling author who has been in the IT field for more than 20 years, is proficient in a variety of information technologies. He has participated in the design and development of mobile client projects such as the Beijing public transportation card system, the national agricultural product traceability system, and the financial system Weibo, and has released a number of games and application software on the App Store. It has long-term provided training services to enterprises and institutions such as China Mobile, China Unicom, China Southern Airlines, Industrial and Commercial Bank of China, and Tianjin Port Authority. He has published more than 50 IT books, which are widely welcomed by readers.

第 1 章 ChatGPT第一次接触
1.1 介绍 ChatGPT 2
1.2 注册 ChatGPT 2
1.3 使用 ChatGPT 4
1.4 本章总结 5
第 2 章 如何使用ChatGPT编写各种文档
2.1 辅助编写技术文档模板 7
2.1.1 设计文档模板 7
2.1.2 案例 1：生成MF京东商城软件需求说明书模板8
2.1.3 案例 2：使用ChatGPT辅助编写MF京东商城软件需求说明书10
2.2 与 ChatGPT 对话的文本语言 —— Markdown 12
2.2.1 Markdown基本语法12
2.2.2 使用Markdown工具 15
2.2.3 案例 3：生成Markdown 格式MF京东商城软件需求说明书模板18
2.2.4 将Markdown格式文档转换为Word文档19
2.2.5 将Markdown格式文档转换为PDF文档20
2.3 思维导图 21
2.3.1 思维导图在软件开发中的作用21
2.3.2 优秀的程序员与思维导图 22
2.3.3 绘制思维导图 22
2.3.4 使用ChatGPT绘制思维导图23
2.3.5 案例 4：生成MF京东商城软件需求说明书思维导图24
2.4 使用表格 27
2.4.1 Markdown表格 27
2.4.2 案例 5：使用ChatGPT制作Markdown表格29
2.4.3 CSV电子表格32
2.4.4 案例 6：使用ChatGPT制作CSV表格33
2.4.5 转换为Excel35
2.5 使用 ChatGPT 制作图表35
2.5.1 无编程方法使用ChatGPT制作图表36
2.5.2 编程方法使用ChatGPT制作图表 37
2.6 本章总结 42
第 3 章 如何使用ChatGPT辅助进行需求分析
3.1 使用 ChatGPT 辅助收集用户需求44
3.1.1 案例 1：××运动管理App协助采访提问设计45
3.1.2 案例 2：××运动管理App汇总问卷调查结果46
3.1.3 汇总问卷调查结果使用图表 46
3.1.4 案例 3：将××运动管理App汇总问卷调查结果绘制成饼状图47
3.2 使用 ChatGPT 辅助确定系统功能48
3.2.1 案例 4：××旅游景点推荐系统49
3.2.2 案例 5：××二手书交易系统49
3.3 确定系统功能 50
3.3.1 什么是用例图 50
3.3.2 PlantUML语言 51
3.3.3 案例 6：绘制××二手书交易系统用例图53
3.4 确定业务流程 56
3.4.1 活动图56
3.4.2 案例 7：绘制××二手书交易系统活动图57
3.5 无处不在的流程图 59
3.5.1 案例 8：绘制××二手书交易系统订单管理流程图60
3.5.2 案例 9：绘制××二手书交易系统用户管理流程图61
3.6 本章总结 63
第 4 章 如何使用ChatGPT辅助进行系统设计
4.1 使用 ChatGPT 辅助进行系统架构设计65
4.1.1 系统架构设计 65
4.1.2 分层架构设计 65
4.1.3 ChatGPT 如何辅助进行系统架构设计66
4.1.4 案例 1：图书管理系统架构设计66
4.2 使用 ChatGPT 辅助进行原型设计70
4.2.1 原型设计过程 71
4.2.2 使用ChatGPT辅助进行原型设计 72
4.3 案例 2：Todo List 项目原型设计72
4.3.1 页面划分72
4.3.2 页面关系图 74
4.3.3 生成原型页面 75
4.4 使用 ChatGPT 辅助进行详细设计78
4.4.1 详细设计与各种UML图78
4.4.2 案例 3：绘制Todo List项目类图79
4.4.3 案例 4：绘制Todo List项目时序图81
4.4.4 案例 5：绘制Todo List项目活动图83
4.4.5 案例 6：绘制Todo List项目组件图85
4.5 本章总结 88
第 5 章 如何使用ChatGPT辅助进行数据库设计
5.1 数据库设计阶段 90
5.2 案例 1：使用 ChatGPT 对 Todo List 项目进行概念建模 91
5.3 案例 2：使用 ChatGPT 对 Todo List 项目进行逻辑建模 92
5.4 案例 3：使用 ChatGPT 对 Todo List 项目进行物理建模 94
5.5 案例 4：使用 ChatGPT 辅助生成 DDL脚本 96
5.6 本章总结 98
第 6 章 如何使用ChatGPT编写高质量的程序代码
6.1 编写代码 100
6.1.1 描述代码需求 100
6.1.2 补全代码细节 103
6.1.3 代码语法检查 106
6.2 调试代码 107
6.3 评审 ChatGPT 生成的代码 110
6.3.1 使用Java代码检查工具CheckStyle 111
6.3.2 使用Java代码检查工具PMD 113
6.3.3 使用Python代码检查工具PyLint 116
6.4 人工评审 ChatGPT 生成的代码 118
6.5 本章总结 119
第 7 章 如何使用ChatGPT辅助进行系统测试
7.1 ChatGPT 如何辅助进行功能测试 121
7.1.1 单元测试与测试用例121
7.1.2 案例 1：词频分析模块单元测试 121
7.1.3 案例 2：使用ChatGPT辅助生成设计测试用例 124
7.1.4 案例 3：ChatGPT辅助生成测试代码 129
7.2 ChatGPT 与测试驱动开发最佳实践 131
7.2.1 优秀的程序员与测试驱动开发 131
7.2.2 案例 4：实施测试驱动开发计算器132
7.2.3 使用ChatGPT辅助实施测试驱动开发135
7.3 ChatGPT 如何辅助进行性能测试 136
7.3.1 使用测试工具 136
7.3.2 案例 5：ChatGPT辅助进行微基准测试137
7.3.3 案例 6：ChatGPT辅助分析微基准测试报告 141
7.4 本章总结 143
第 8 章 如何使用ChatGPT辅助进行任务管理
8.1 任务目标与要求 145
8.1.1 描述任务目标与要求 145
8.1.2 案例 1：描述OA办公自动化软件项目 145
8.2 分解任务 146
8.2.1 使用ChatGPT分解任务 146
8.2.2 案例 2：使用ChatGPT辅助分解OA办公自动化软件项目任务 146
8.3 制订任务计划 151
8.3.1 甘特图 152
8.3.2 案例 3：使用ChatGPT辅助制订OA办公自动化软件项目计划 153
8.4 跟踪任务 157
8.4.1 使用ChatGPT辅助跟踪任务158
8.4.2 案例 4：ChatGPT辅助跟踪OA办公自动化项目 159
8.5 本章总结 160
第 9 章 如何使用ChatGPT分析源代码底层逻辑
9.1 使用 ChatGPT 辅助分析流行框架 162
9.1.1 使用ChatGPT分析框架源代码的策略162
9.1.2 案例 1：使用ChatGPT分析Spring框架 162
9.2 使用 ChatGPT 分析别人的源代码 168
9.2.1 使用ChatGPT分析别人的源代码的策略 168
9.2.2 案例 2：Java源代码文件UserManager.java的分析 169
9.2.3 案例 3：Python源代码文件user_manager.py的分析 176
9.3 本章总结 181
第 10 章 实战案例 1：使用ChatGPT辅助开发 PetStore宠物商店项目
10.1 项目概述 183
10.2 需求分析 183
10.3 Python Web 开发与分层架构设计 186
10.4 页面原型设计 188
10.4.1 页面划分188
10.4.2 页面跳转关系图 189
10.4.3 生成原型页面 190
10.5 详细设计 205
10.5.1 找出实体类 205
10.5.2 绘制实体类图 206
10.5.3 服务层设计 208
10.5.4 数据访问层设计210
10.5.5 绘制时序图 212
10.6 数据库设计 219
10.6.1 概念建模219
10.6.2 逻辑建模 221
10.6.3 物理建模224
10.7 使用 ChatGPT 辅助编码实现 228
10.7.1 构建数据库 228
10.7.2 创建项目PetStore宠物商店项目 231
10.7.3 使用ChatGPT辅助实现数据访问层 232
10.7.4 使用ChatGPT辅助实现服务层 234
10.7.5 使用ChatGPT辅助实现表示层 237
10.8 本章总结 241
第 11 章 实战案例 2：使用ChatGPT辅助开发“我的备忘录”App
11.1 项目概述 243
11.2 需求分析 243
11.3 页面原型设计 244
11.3.1 低保真原型草图 244
11.3.2 使用ChatGPT辅助设计高保真原型246
11.4 详细设计 251
11.4.1 找出实体类 251
11.4.2 绘制实体类图 251
11.4.3 物理建模 252
11.4.4 生成DDL脚本 253
11.5 使用 ChatGPT 辅助编码实现 254
11.5.1 创建Android Studio项目 254
11.5.2 使用ChatGPT实现备忘录列表功能 254
11.5.3 使用ChatGPT实现备忘录添加功能260
11.5.4 使用ChatGPT实现备忘录删除功能 264
11.5.5 使用ChatGPT实现查看备忘录详细信息页面功能 266
11.6 本章总结 268

Insert image description here

method of obtaining

Dangdang.com: http://product.dangdang.com/29610424.html
JD.com: https://item.jd.com/13816183.html