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Course Outline
Team Collaboration in Cursor
- Establishing and managing team workspaces
- Sharing context and code sessions among team members
- Defining access roles and collaboration protocols
AI-Assisted Pull Request Generation
- Understanding AI-generated pull requests (PRs)
- Customising PR templates and policies
- Verifying AI-generated changes prior to merging
Automating Code Reviews with Cursor
- Employing AI to identify issues and propose improvements
- Assessing code style, logic, and documentation consistency
- Integrating with GitHub, GitLab, or Bitbucket review workflows
Policy Guards and Governance
- Formulating code quality and security policies
- Configuring approval gates and rule-based enforcement
- Auditing AI decisions and ensuring accountability
Integrating Cursor into CI/CD Pipelines
- Connecting Cursor with Jenkins, GitHub Actions, or GitLab CI
- Automating builds and deployments leveraging AI insights
- Maintaining compliance within automated pipelines
Monitoring and Metrics for AI-Driven Workflows
- Tracking productivity and quality metrics
- Analysing AI contribution impact reports
- Identifying opportunities for process optimisation
Scaling Cursor Adoption Across Teams
- Onboarding multiple teams with standardised setups
- Managing shared configurations and best practices
- Promoting continuous improvement and team training
Future Trends and Advanced Integrations
- Integrating with security scanners and QA systems
- Exploring API-based automation using Cursor
- Planning for evolving AI-assisted DevOps workflows
Summary and Next Steps
Requirements
- Proficiency with Git-based version control workflows
- Knowledge of CI/CD tools and principles
- Understanding of collaborative software development processes
Target Audience
- Team leads and senior developers
- DevOps and CI/CD engineers
- Engineering managers overseeing AI adoption
14 Hours