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コース概要
AI-Assisted Software Engineering
- Understanding the role of AI in modern software development
- Capabilities and limitations of AI-assisted coding
- How DeepSeek Coder differs from other AI coding tools
Scaling AI-Assisted Development for Large Codebases
- Using AI to generate and refactor large-scale code efficiently
- Implementing AI-assisted documentation and inline explanations
- Best practices for reviewing AI-generated code in team environments
Advanced AI-Powered Debugging
- Leveraging AI to identify and fix complex bugs
- Generating unit tests and integration tests with DeepSeek Coder
- Using AI for error pattern recognition and predictive debugging
Automating Software Development Workflows
- AI-assisted code reviews and static code analysis
- Generating CI/CD scripts and configuration files with AI
- Implementing AI-powered task automation in software teams
Integrating AI into DevOps and CI/CD Pipelines
- Enhancing DevOps with AI-powered automation
- Using DeepSeek Coder for continuous integration and deployment
- Security and compliance considerations in AI-assisted software development
Optimizing Performance with AI
- Refactoring AI-generated code for efficiency and maintainability
- Using AI to detect and prevent performance bottlenecks
- Best practices for integrating AI-assisted development into agile methodologies
Real-World Applications and Case Studies
- AI-assisted development in large-scale software projects
- Industry use cases: AI-powered automation in software engineering
- Future trends and advancements in AI-assisted coding
Summary and Next Steps
要求
- Experience with programming and software development
- Basic familiarity with DeepSeek Coder or other AI-assisted coding tools
- Understanding of debugging, code optimization, and software development workflows
Audience
- Developers aiming to streamline coding workflows with AI
- Data engineers automating and optimizing large-scale scripts
- Software teams integrating AI into DevOps and CI/CD pipelines
14 時間