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
Fundamentals of Devstral and Coding Agents
- An overview of the Devstral architecture
- The role of Agentic AI concepts in software engineering
- Practical use cases for coding agents
Preparing the Development Workspace
- Installation and configuration of Devstral
- Integrating with Python and Git workflows
- Supporting IDE workflows, including Visual Studio Code
Architecting Coding Agents
- Defining specific agent roles and capabilities
- Designing workflows for code navigation and refactoring
- Implementing error handling and rollback mechanisms
Integrating Tools and APIs
- Linking agents to essential developer tools
- Connecting APIs for external service interactions
- Establishing automation patterns using coding agents
Applying Agentic Workflows
- Exploring code and generating documentation
- Assisting with automated refactoring and testing
- Collaborative coding processes with agents
Security and Operational Best Practices
- Maintaining safe execution environments
- Managing access controls and permissions
- Monitoring and logging agent activities
Scaling and Sustaining Coding Agents
- Distributing agents across teams and projects
- Managing updates to agent workflows
- Driving continuous improvement through feedback loops
Conclusion and Future Steps
Requirements
- A solid grasp of Python
- Practical experience with software development workflows
- Knowledge of API mechanics and code integration
Target Audience
- Machine Learning engineers
- Teams focused on developer tooling
- SREs dedicated to enhancing 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