Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 21 hours
Course Outline
Fundamentals of Graphite and Modern Code Review Practices
- An overview of Graphite’s architecture and primary capabilities
- Exploring stacked pull requests and workflow automation
- Configuring Graphite with GitHub for collaborative team projects
Installing and Configuring Graphite
- Deploying Graphite across various development environments
- Linking repositories and managing access permissions
- Setting up merge queues, PR inboxes, and establishing code review policies
Streamlining Pull Request Processes
- Implementing stacked PRs and tracking dependencies
- Minimizing merge conflicts while accelerating review times
- Handling large codebases efficiently using Graphite’s review system
Leveraging AI for Code Review and Productivity
- Utilizing Graphite’s AI code review assistant
- Integrating open-source LLMs such as Deepseek, Qwen, and Mistral Small for enhanced code insights
- Generating automated suggestions and enforcing quality standards
Integrating Graphite into DevOps Toolchains
- Connecting Graphite with CI/CD pipelines
- Integrating with GitHub Actions, Jenkins, and other automation platforms
- Maintaining compliance and auditability within enterprise workflows
Analytics, Metrics, and Reporting
- Monitoring team performance through Graphite dashboards
- Identifying process bottlenecks and areas of inefficiency
- Developing custom reports and data visualizations
Scaling Graphite for Enterprise Use
- Establishing multi-team setups and governance strategies
- Applying best practices for large-scale deployments
- Addressing security, data retention, and compliance requirements
Practical Workshop: Full Implementation
- Building a complete enterprise Graphite workflow
- Incorporating AI-based review pipelines
- Performing team performance analysis and planning improvements
Wrap-up and Future Directions
Requirements
- A solid grasp of Git-based workflows
- Practical experience with software development and version control systems
- Familiarity with code review practices and CI/CD concepts
Target Audience
- Engineering leads and software development managers
- DevOps and platform engineering teams
- Senior developers and technical architects
Testimonials (2)
The session was highly interactive and applicable to the business.
Jorge Boscan - Chevron Global Technology Services Company
Course - Advanced GitHub Copilot & AI for Projects and Infrastructure
Machine Translated
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
