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 Duration 21 hours

Course Outline

Overview of Graphite and Contemporary Code Review Workflows

  • An introduction to Graphite’s architecture and primary capabilities
  • Explaining stacked pull requests and workflow automation mechanisms
  • Setting up Graphite alongside GitHub for collaborative team projects

Installing and Configuring Graphite

  • Deploying Graphite within development environments
  • Establishing repository connections and managing access permissions
  • Tuning merge queues, PR inboxes, and code review policies

Refining Pull Request Processes

  • Adopting stacked PRs and tracking dependencies
  • Minimizing merge conflicts to accelerate the review process
  • Handling large codebases effectively with Graphite’s review system

Leveraging AI for Code Review and Productivity Gains

  • Utilizing Graphite’s AI code review assistant
  • Incorporating open-source LLMs like Deepseek, Qwen, and Mistral Small for deeper code insights
  • Generating automated suggestions to maintain quality standards

Connecting Graphite to DevOps Toolchains

  • Syncing Graphite with CI/CD pipelines
  • Integrating with GitHub Actions, Jenkins, and other automation platforms
  • Maintaining compliance and audit trails in enterprise workflows

Analytics, Metrics, and Reporting

  • Employing Graphite dashboards for tracking team performance
  • Pinpointing process bottlenecks and inefficiencies
  • Developing bespoke reports and data visualizations

Scaling Graphite for Enterprise Use

  • Implementing multi-team structures and governance frameworks
  • Best practices for broad-scale deployment
  • Addressing security, data retention, and compliance requirements

Practical Workshop: Full Implementation Lifecycle

  • Configuring a comprehensive enterprise Graphite workflow
  • Embedding AI-based review pipelines
  • Analyzing team performance and planning improvements

Conclusion and Future Directions

Requirements

  • A solid grasp of Git-based workflows
  • Practical experience with software development and version control systems
  • Familiarity with code review processes and CI/CD principles

Target Audience

  • Engineering leaders and software development managers
  • DevOps and platform engineering teams
  • Senior developers and technical architects

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