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Duration 21 hours
Course Outline
Foundations of Graphite and Contemporary Code Review Processes
- An overview of Graphite’s architecture and primary capabilities
- Gaining insight into stacked pull requests and workflow automation
- Configuring Graphite with GitHub for collaborative team projects
Setting Up Graphite: Installation and Configuration
- Deploying Graphite across various development environments
- Linking repositories and administering access permissions
- Establishing merge queues, PR inboxes, and code review policies
Refining Pull Request Operations
- Applying stacked PRs and tracking dependencies
- Minimizing merge conflicts while accelerating the review cycle
- Handling extensive codebases using Graphite’s review framework
Enhancing Productivity with AI-Driven Code Review
- Leveraging Graphite’s built-in AI code review assistant
- Incorporating open-source LLMs such as Deepseek, Qwen, and Mistral Small for deeper code analysis
- Generating automated suggestions and upholding quality standards
Connecting Graphite to DevOps Ecosystems
- Synchronizing Graphite with CI/CD pipelines
- Integrating with automation tools including GitHub Actions, Jenkins, and others
- Maintaining compliance and audit trails within enterprise workflows
Performance Tracking: Analytics, Metrics, and Reporting
- Utilizing Graphite dashboards to monitor team performance
- Pinpointing process bottlenecks and operational inefficiencies
- Developing bespoke reports and data visualizations
Expanding Graphite for Enterprise-Scale Operations
- Implementing multi-team structures and governance frameworks
- Adopting best practices for large-scale deployments
- Addressing security, data retention, and regulatory compliance
Practical Workshop: Comprehensive Implementation
- Establishing a complete enterprise-level Graphite workflow
- Embedding AI-driven review pipelines
- Performing team performance assessments and planning improvements
Conclusion and Future Directions
Requirements
- A solid grasp of Git-based workflows
- Practical experience with software development and version control systems
- Working knowledge of code review processes and CI/CD concepts
Target Audience
- Engineering leads and software development managers
- DevOps and platform engineering specialists
- 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
