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Duration 21 hours
Course Outline
Fundamentals of Graphite and Contemporary Code Review Workflows
- Exploring Graphite’s architecture and essential features.
- Gaining insights into stacked pull requests and workflow automation.
- Configuring Graphite with GitHub for collaborative team projects.
Setting Up and Configuring Graphite
- Deploying Graphite across various development environments.
- Linking repositories and managing access permissions.
- Tuning merge queues, PR inboxes, and code review policies.
Streamlining Pull Request Processes
- Implementing stacked PRs and tracking dependencies.
- Minimizing merge conflicts while accelerating review speed.
- Handling large codebases using Graphite’s review system.
Leveraging AI for Code Review and Productivity Boosts
- Utilizing Graphite’s built-in AI code review assistant.
- Integrating open-source LLMs like Deepseek, Qwen, and Mistral Small for deeper code insights.
- Generating automated suggestions and enforcing quality standards.
Connecting Graphite with DevOps Toolchains
- Synchronizing Graphite with CI/CD pipelines.
- Integrating with GitHub Actions, Jenkins, and other automation platforms.
- Maintaining compliance and auditability within enterprise workflows.
Analytics, Metrics, and Performance Reporting
- Using Graphite dashboards to monitor team performance.
- Identifying process bottlenecks and inefficiencies.
- Creating custom reports and data visualizations.
Scaling Graphite for Enterprise Use Cases
- Establishing multi-team setups and governance strategies.
- Adopting best practices for large-scale deployments.
- Addressing security, data retention, and compliance requirements.
Practical Workshop: Comprehensive Implementation
- Building a complete enterprise-level Graphite workflow.
- Integrating AI-driven review pipelines.
- Conducting team performance analysis and developing improvement plans.
Recap and Future Pathways
Requirements
- A solid grasp of Git-based development workflows.
- Practical experience with software development and version control systems.
- Basic 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 (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
