Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Getting to Know Devstral and Coding Agents
- An overview of Devstral's architecture
- The role of agentic AI concepts in software engineering
- Practical use cases for coding agents
Establishing the Development Environment
- Installation and configuration of Devstral
- Integration with Python and Git workflows
- Support within Visual Studio Code
Architecting Coding Agents
- Defining specific agent roles and capabilities
- Designing workflows for code navigation and refactoring
- Strategies for error handling and rollbacks
Integrating Tools and APIs
- Linking agents to essential developer tools
- API integration for connecting with external services
- Automation patterns utilizing coding agents
Agentic Workflows in Action
- Exploring code and generating documentation
- Assisting with automated refactoring and testing
- Collaborative coding practices with agents
Security Standards and Best Practices
- Creating safe execution environments
- Managing access controls and permissions
- Monitoring and logging agent activities
Scaling and Sustaining Coding Agents
- Deploying agents across various teams and projects
- Maintaining and updating agent workflows
- Continuous improvement through feedback loops
Recap and Future Directions
Requirements
- A robust grasp of Python
- Proficiency in software development workflows
- Knowledge of APIs and code integration
Target Audience
- ML engineers
- Developer-tooling teams
- SREs focused on developer experience
14 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