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Course Outline
Introduction to Graphite and Modern Code Review Workflows
- Overview of Graphite’s architecture and core features.
- Understanding stacked pull requests and workflow automation.
- Setting up Graphite with GitHub for team-based projects.
Graphite Installation and Configuration
- Deploying Graphite in development environments.
- Connecting repositories and managing permissions.
- Configuring merge queues, PR inboxes, and code review policies.
Optimizing Pull Request Workflows
- Implementing stacked PRs and dependency tracking.
- Reducing merge conflicts and accelerating review speed.
- Managing large codebases with Graphite’s review system.
AI-Driven Code Review and Productivity Enhancement
- Utilizing Graphite’s AI code review assistant.
- Integrating open-source LLMs like Deepseek, Qwen, and Mistral Small for code insights.
- Creating automated suggestions and enforcing quality standards.
Integrating Graphite with DevOps Toolchains
- Linking Graphite with CI/CD pipelines.
- Integrating with GitHub Actions, Jenkins, and other automation tools.
- Ensuring compliance and auditability in enterprise workflows.
Analytics, Metrics, and Reporting
- Using Graphite dashboards for team performance tracking.
- Identifying bottlenecks and inefficiencies.
- Building custom reports and visualizations.
Scaling Graphite in Enterprise Environments
- Multi-team setup and governance strategies.
- Best practices for large-scale rollout.
- Security, data retention, and compliance considerations.
Hands-On Workshop: End-to-End Implementation
- Setting up a complete enterprise Graphite workflow.
- Integrating AI-based review pipelines.
- Conducting team performance analysis and improvement planning.
Summary and Next Steps
Requirements
- A solid understanding of Git-based workflows.
- Prior experience with software development and version control systems.
- Familiarity with the concepts of code review and CI/CD.
Target Audience
- Engineering leads and software development managers.
- DevOps and platform engineering teams.
- Senior developers and technical architects.
21 Hours
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
