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Duration 21 hours
Course Outline
Introduction to Graphite and Contemporary Code Review Processes
- An overview of Graphite’s architecture and primary features
- Exploring stacked pull requests and workflow automation
- Configuring Graphite with GitHub for team-oriented projects
Graphite Installation and Setup
- Implementing Graphite in development environments
- Linking repositories and administering permissions
- Setting up merge queues, PR inboxes, and code review policies
Streamlining Pull Request Processes
- Implementing stacked PRs and tracking dependencies
- Minimizing merge conflicts and accelerating review times
- Handling large codebases using Graphite’s review system
AI-Powered Code Review and Productivity Gains
- Leveraging Graphite’s AI code review assistant
- Incorporating open-source LLMs such as Deepseek, Qwen, and Mistral Small for enhanced code insights
- Generating automated suggestions and upholding quality benchmarks
Connecting Graphite with DevOps Toolchains
- Aligning Graphite with CI/CD pipelines
- Integrating with GitHub Actions, Jenkins, and other automation tools
- Maintaining compliance and auditability within enterprise workflows
Analytics, Metrics, and Reporting
- Utilizing Graphite dashboards to monitor team performance
- Detecting bottlenecks and operational inefficiencies
- Creating bespoke reports and visualizations
Scaling Graphite for Enterprise Use
- Multi-team configurations and governance frameworks
- Best practices for large-scale deployments
- Addressing security, data retention, and compliance requirements
Practical Workshop: Comprehensive Implementation
- Establishing a complete enterprise Graphite workflow
- Incorporating AI-based review pipelines
- Performing team performance analysis and planning improvements
Conclusion and Future Directions
Requirements
- A solid grasp of Git-based workflows
- Hands-on experience with software development and version control systems
- Proficiency in code review and CI/CD principles
Target Audience
- Engineering leads 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
