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Duration 21 hours
Course Outline
Foundations of Graphite and Modern Code Review Practices
- An examination of Graphite’s architecture and its primary capabilities
- Comprehending stacked pull requests and the automation of workflows
- Setting up Graphite in conjunction with GitHub for team-oriented projects
Graphite Deployment and System Configuration
- Installing Graphite across various development environments
- Linking repositories and administering user permissions
- Configuring merge queues, PR inboxes, and specific code review policies
Enhancing Pull Request Efficiency
- Applying stacked PR strategies and managing dependency tracking
- Minimizing merge conflicts while accelerating the review process
- Handling extensive codebases using Graphite’s integrated review system
AI-Enhanced Code Review and Productivity Boost
- Utilizing Graphite’s built-in AI code review assistant
- Incorporating open-source LLMs such as Deepseek, Qwen, and Mistral Small for advanced code insights
- Generating automated suggestions and upholding consistent quality standards
Integration of Graphite into DevOps Ecosystems
- Synchronizing Graphite with CI/CD pipelines
- Connecting with GitHub Actions, Jenkins, and other automation utilities
- Maintaining compliance and ensuring auditability within enterprise workflows
Analytics, Performance Metrics, and Reporting
- Utilizing Graphite dashboards to monitor team performance
- Detecting process bottlenecks and operational inefficiencies
- Developing bespoke reports and data visualizations
Scaling Graphite for Enterprise Requirements
- Establishing multi-team configurations and governance frameworks
- Adopting best practices for organization-wide rollout
- Addressing security, data retention, and regulatory compliance
Practical Workshop: Full-Stack Implementation
- Constructing a complete enterprise-level Graphite workflow
- Implementing AI-based review pipelines
- Performing team performance analysis and drafting improvement strategies
Course Conclusion and Future Recommendations
Requirements
- A solid grasp of Git-based development workflows
- Practical experience with software development and version control systems
- Working knowledge of code review practices and CI/CD concepts
Intended 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
