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Course Outline

Introduction to Devstral and Coding Agents

  • Overview of Devstral's architecture
  • Core concepts of agentic AI in software engineering
  • Practical use cases for coding agents

Configuring the Development Environment

  • Installation and setup of Devstral
  • Integration with Python and Git workflows
  • Support within Visual Studio Code

Architecting Coding Agents

  • Specifying agent roles and functionalities
  • Designing workflows for code navigation and refactoring
  • Strategies for error handling and rollback

Tool and API Integration

  • Linking agents to essential developer tools
  • Connecting to external services via API
  • Automation patterns leveraging coding agents

Agentic Workflows in Action

  • Code exploration and generating documentation
  • Supporting automated refactoring and testing
  • Collaborative coding sessions with agents

Security and Best Practices

  • Establishing safe execution environments
  • Managing access controls and permissions
  • Monitoring and logging agent activities

Scaling and Maintaining Coding Agents

  • Distributing agents across teams and projects
  • Maintaining and evolving agent workflows
  • Continuous improvement through feedback loops

Summary and Next Steps

Requirements

  • Proficient command of Python
  • Practical experience in software development workflows
  • Knowledge of APIs and code integration patterns

Target Audience

  • Machine Learning Engineers
  • Developer Tooling Teams
  • SREs focused on developer experience
 14 Hours

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