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
Testimonials (3)
The session was highly interactive and applicable to the business.
Jorge Boscan - Chevron Global Technology Services Company
Course - Advanced GitHub Copilot & AI for Projects and Infrastructure
Machine Translated
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
Michal Maj - XL Catlin Services SE (AXA XL)
Course - GitHub Copilot for Developers
Trainer able to adjust the course level during training to fit our understanding level on the topic, so that we could gain more useful knowledge that could further help us harness the tools in our daily works.