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Duration 21 hours (3 days)
Course Outline
Introduction to Graphite and Modern Code Review Workflows
- Overview of Graphite’s architecture and primary features.
- Understanding the mechanics of stacked pull requests and workflow automation.
- Configuring Graphite with GitHub for team-based projects.
Graphite Installation and Configuration
- Deploying Graphite within development environments.
- Connecting repositories and managing access permissions.
- Setting up merge queues, PR inboxes, and code review policies.
Optimizing Pull Request Workflows
- Implementing stacked PRs and tracking dependencies effectively.
- Minimizing merge conflicts to accelerate review speed.
- Managing extensive codebases using Graphite’s review system.
AI-Driven Code Review and Productivity Enhancement
- Leveraging Graphite’s AI code review assistant.
- Integrating open-source LLMs like Deepseek, Qwen, and Mistral Small for enhanced code insights.
- Generating automated suggestions and enforcing quality standards.
Integrating Graphite with DevOps Toolchains
- Linking Graphite with CI/CD pipelines for seamless operations.
- Integrating with GitHub Actions, Jenkins, and other automation tools.
- Ensuring compliance and auditability within enterprise workflows.
Analytics, Metrics, and Reporting
- Utilizing Graphite dashboards for comprehensive team performance tracking.
- Identifying process bottlenecks and operational inefficiencies.
- Creating custom reports and visualizations for data-driven decisions.
Scaling Graphite in Enterprise Environments
- Multi-team setup strategies and governance frameworks.
- Best practices for large-scale rollout and adoption.
- Addressing security, data retention, and compliance considerations.
Hands-On Workshop: End-to-End Implementation
- Establishing a complete enterprise-grade Graphite workflow.
- Integrating AI-based review pipelines into the stack.
- Conducting team performance analysis and developing improvement plans.
Summary and Next Steps
Requirements
- A solid understanding of Git-based workflows.
- Practical experience with software development and version control systems.
- 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
