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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
Testimonials (1)
That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny