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Duration 21 hours (3 days)
Course Outline
Introduction to Graphite and Contemporary Code Review Practices
- Overview of Graphite’s architecture and primary capabilities
- Explaining stacked pull requests and workflow automation
- Configuring Graphite with GitHub for team-based initiatives
Installing and Configuring Graphite
- Rolling out Graphite in development contexts
- Linking repositories and handling access permissions
- Setting up merge queues, PR inboxes, and code review policies
Refining Pull Request Processes
- Adopting stacked PRs and tracking dependencies
- Minimizing merge conflicts while accelerating review cycles
- Handling extensive codebases via Graphite’s review framework
Leveraging AI for Code Review and Productivity Gains
- Utilizing Graphite’s AI code review assistant
- Incorporating open-source LLMs such as Deepseek, Qwen, and Mistral Small for code analysis
- Generating automated suggestions and upholding quality benchmarks
Connecting Graphite with DevOps Ecosystems
- Synchronizing Graphite with CI/CD pipelines
- Integrating with GitHub Actions, Jenkins, and other automation solutions
- Maintaining compliance and audit trails in enterprise workflows
Analytics, Metrics, and Reporting
- Employing Graphite dashboards to monitor team performance
- Pinpointing bottlenecks and operational inefficiencies
- Designing custom reports and visual insights
Scaling Graphite for Enterprise Settings
- Structuring multi-team environments and governance models
- Best practices for large-scale deployment
- Addressing security, data retention, and compliance requirements
Practical Workshop: Full-Scale Implementation
- Establishing a comprehensive enterprise Graphite workflow
- Integrating AI-based review pipelines
- Performing team performance analysis and planning improvements
Conclusion and Future Steps
Requirements
- Proficiency in Git-based workflows
- Hands-on experience with software development and version control systems
- Knowledge of code review practices 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
