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Duration 21 hours
Course Outline
Introduction to Graphite and Contemporary Code Review Workflows
- An overview of Graphite’s architecture and its primary features
- Gaining insight into stacked pull requests and workflow automation capabilities
- Configuring Graphite with GitHub for collaborative, team-based projects
Graphite Installation and Configuration
- Deploying Graphite across various development environments
- Establishing repository connections and managing user permissions
- Setting up merge queues, PR inboxes, and defining code review policies
Enhancing Pull Request Workflows
- Implementing stacked PRs and maintaining accurate dependency tracking
- Minimizing merge conflicts while accelerating the review process
- Efficiently managing large codebases using Graphite’s review system
AI-Powered Code Review and Productivity Boosts
- Utilizing Graphite’s built-in AI code review assistant
- Integrating open-source LLMs such as Deepseek, Qwen, and Mistral Small to derive deeper code insights
- Generating automated suggestions and strictly enforcing quality standards
Integrating Graphite into DevOps Toolchains
- Connecting Graphite with existing CI/CD pipelines
- Syncing with GitHub Actions, Jenkins, and other automation frameworks
- Safeguarding compliance and auditability within enterprise workflows
Analytics, Metrics, and Reporting
- Leveraging Graphite dashboards for effective team performance monitoring
- Pinpointing operational bottlenecks and workflow inefficiencies
- Crafting custom reports and data visualizations
Scaling Graphite Across Enterprise Environments
- Establishing multi-team configurations and governance strategies
- Adopting best practices for large-scale deployment
- Addressing security, data retention, and compliance requirements
Practical Workshop: End-to-End Implementation
- Constructing a comprehensive enterprise-grade Graphite workflow
- Implementing AI-driven review pipelines
- Performing team performance analysis and devising improvement plans
Conclusion and Future Steps
Requirements
- A solid understanding of Git-based workflows
- Practical experience with software development practices and version control systems
- Basic familiarity with code review processes 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
