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コース概要
Team Collaboration in Cursor
- Creating and managing team workspaces
- Sharing context and code sessions across members
- Establishing access roles and collaboration protocols
AI-Assisted Pull Request Generation
- Understanding AI-generated pull requests (PRs)
- Customizing PR templates and policies
- Validating AI-generated changes before merge
Automating Code Reviews with Cursor
- Using AI to detect issues and suggest improvements
- Reviewing code style, logic, and documentation consistency
- Integrating with GitHub, GitLab, or Bitbucket review workflows
Policy Guards and Governance
- Defining code quality and security policies
- Setting up approval gates and rule-based enforcement
- Auditing AI decisions and maintaining accountability
Integrating Cursor into CI/CD Pipelines
- Connecting Cursor with Jenkins, GitHub Actions, or GitLab CI
- Automating builds and deployments using AI insights
- Ensuring compliance within automated pipelines
Monitoring and Metrics for AI-Driven Workflows
- Tracking productivity and quality metrics
- Reviewing AI contribution impact reports
- Identifying areas for process optimization
Scaling Cursor Adoption Across Teams
- Onboarding multiple teams with standardized setups
- Managing shared configurations and best practices
- Facilitating continuous improvement and team training
Future Trends and Advanced Integrations
- Integrating with security scanners and QA systems
- Exploring API-based automation with Cursor
- Planning for evolving AI-assisted DevOps workflows
Summary and Next Steps
要求
- Experience with Git-based version control workflows
- Familiarity with CI/CD tools and principles
- Understanding of collaborative software development processes
Audience
- Team leads and senior developers
- DevOps and CI/CD engineers
- Engineering managers overseeing AI adoption
14 時間
