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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

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