Building Coding Agents with Devstral: From Agent Design to Tooling Training Course
Devstral is an open-source framework designed for building and running coding agents that can interact with codebases, developer tools, and APIs to enhance engineering productivity.
This instructor-led, live training (available both online and onsite) is aimed at intermediate to advanced ML engineers, developer-tooling teams, and SREs who want to design, implement, and optimize coding agents using Devstral.
By the end of this training, participants will be able to:
- Set up and configure Devstral for developing coding agents.
- Create agentic workflows for exploring and modifying codebases.
- Integrate coding agents with developer tools and APIs.
- Implement best practices for secure and efficient agent deployment.
Format of the Course
- Interactive lecture and discussion.
- Plenty of exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction to Devstral and Coding Agents
- Overview of Devstral architecture
- Agentic AI concepts in software engineering
- Use cases for coding agents
Setting Up the Development Environment
- Installing and configuring Devstral
- Integration with Python and Git workflows
- IDE support with Visual Studio Code
Designing Coding Agents
- Defining agent roles and capabilities
- Workflow design for code navigation and refactoring
- Error handling and rollback strategies
Tool and API Integration
- Connecting agents to developer tools
- API integration for external services
- Automation patterns with coding agents
Agentic Workflows in Practice
- Code exploration and documentation generation
- Automated refactoring and testing assistance
- Collaborative coding with agents
Security and Best Practices
- Safe execution environments
- Access controls and permissions
- Monitoring and logging agent actions
Scaling and Maintaining Coding Agents
- Deploying agents across teams and projects
- Maintaining and updating agent workflows
- Continuous improvement with feedback loops
Summary and Next Steps
Requirements
- Strong understanding of Python
- Experience with software development workflows
- Familiarity with APIs and code integration
Audience
- ML engineers
- Developer-tooling teams
- SREs working on developer experience
Open Training Courses require 5+ participants.
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Testimonials (1)
Lecturer's knowledge in advanced usage of copilot & Sufficient and efficient practical session
Tan - ViTrox Technologies Sdn Bhd
Course - Intermediate GitHub Copilot
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