AI-Powered Software Development: Coding, Testing, and System Design

AI-Powered Software Development: Coding, Testing, and System Design

Original price was: $66.92.Current price is: $21.99.

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As generative AI rapidly transforms the software development landscape, developers and teams must adapt to new tools and workflows that enhance productivity and code quality. Lifelong programmer Shaun Wassell provides hands-on guidance for effectively integrating AI tools across the entire development lifecycle—from code generation to system architecture and agile project management. Shaun helps you gain practical skills for leveraging AI responsibly and efficiently, without replacing critical human oversight. The course is relevant for software developers looking to boost their personal productivity and teams aiming to modernize their development processes.

Table of Contents

Getting Started with AI-Powered Coding
1 Code generation and completion What are my options
2 Generating scripts
3 Generating functions
4 Generating classes
5 AI-assisted error resolution
6 Code review and quality checks
7 Creating documentation
8 Challenge Creating a simple application
9 Solution Creating a simple application

AI-Assisted Testing
10 Automated test case generation
11 AI-driven unit and integration testing
12 Performance and security testing
13 What does TDD look like with generative AI
14 Challenge Adding tests to an application
15 Solution Adding tests to an application

AI-Assisted Architecture and System Design
16 AI-assisted software architecture planning
17 Recognizing and implementing design patterns
18 Microservices design with AI guidance
19 API design and documentation generation
20 Challenge Designing an API
21 Solution Designing an API

Integrating Generative AI APIs
22 The basics of generative AI API integration
23 Text completion applications
24 Image generation and vision applications
25 Audio and speech applications
26 Challenge Creating an AI-powered application
27 Solution Creating an AI-powered application

AI-Assisted Agile and Scrum
28 Sprint planning with AI story estimation
29 Prioritizing and refining backlog items
30 Automated stand-up reports and progress summaries
31 Retrospective analysis and improvement suggestions
32 Challenge Creating an AI-powered agile tool
33 Solution Creating an AI-powered agile tool

Conclusion
34 Conclusion and next steps

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