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Duration 21 hours
Course Outline
Introduction to Graphite and Contemporary Code Review Processes
- Examination of Graphite’s architectural framework and primary capabilities
- Comprehension of stacked pull requests and workflow automation mechanisms
- Configuration of Graphite with GitHub to support collaborative team-based initiatives
Deployment and Configuration of Graphite
- Installation procedures for development and staging environments
- Association of repositories and administration of access controls
- Establishment of merge queues, pull request inboxes, and code review protocols
Enhancement of Pull Request Procedures
- Implementation of stacked pull requests and dependency monitoring
- Mitigation of merge conflicts and acceleration of review cycles
- Management of extensive codebases utilizing Graphite’s review infrastructure
AI-Assisted Code Review and Operational Efficiency
- Utilization of Graphite’s AI code review assistant features
- Integration of open-source LLMs, including Deepseek, Qwen, and Mistral Small, for code analysis
- Generation of automated recommendations and enforcement of quality benchmarks
Integration of Graphite into DevOps Ecosystems
- Connection of Graphite to CI/CD pipelines for for government standard compliance
- Interoperability with GitHub Actions, Jenkins, and other automation frameworks
- Guarantee of compliance and auditability within enterprise operations
Analytics, Metrics, and Performance Reporting
- Leveraging Graphite dashboards for team performance monitoring
- Identification of operational bottlenecks and process inefficiencies
- Development of custom reports and data visualizations
Scaling Graphite in Enterprise Settings
- Multi-team configurations and governance frameworks
- Best practices for large-scale implementation across agencies or departments
- Considerations for security, data retention, and regulatory compliance
Practical Workshop: End-to-End Implementation
- Establishment of a complete enterprise-grade Graphite workflow
- Incorporation of AI-based review pipelines for for government use cases
- Execution of team performance analysis and continuous improvement planning
Conclusions and Future Recommendations
Requirements
- Proficiency in Git-based workflows
- Experience with software development practices and version control systems
- Working knowledge of code review processes and CI/CD concepts
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
