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.
Duration 14 hours
Course Outline
Introduction to Devstral and Coding Agent Fundamentals
- Architectural overview of the Devstral framework.
- Application of agentic AI concepts in software engineering.
- Key use cases and value propositions for coding agents.
Preparing the Development Environment
- Installation and configuration of Devstral components.
- Aligning Devstral with Python and Git-based workflows.
- Leveraging Visual Studio Code for IDE support.
Architecting Coding Agents
- Defining specific agent roles, capabilities, and boundaries.
- Designing workflows for effective code navigation and refactoring.
- Implementing robust error handling and rollback mechanisms.
Integrating Tools and External APIs
- Connecting agents to the broader suite of developer tools.
- Managing API integrations for third-party services.
- Applying automation patterns to extend agent functionality.
Implementing Agentic Workflows
- Automating code exploration and documentation generation.
- Assisting with automated refactoring and testing cycles.
- Facilitating collaborative coding sessions with agents.
Security Standards and Best Practices
- Establishing safe and isolated execution environments.
- Managing access controls and permission scopes.
- Monitoring and logging agent activities for auditability.
Scaling and Maintaining Agent Systems
- Deploying agents across multiple teams and project scopes.
- Strategies for maintaining and evolving agent workflows.
- Driving continuous improvement through feedback loops.
Course Summary and Future Directions
Requirements
- Proficiency in Python programming.
- Practical experience with modern software development lifecycles.
- Working knowledge of API interactions and code integration patterns.
Target Audience
- Machine Learning Engineers.
- Teams focused on developer tooling and infrastructure.
- SREs dedicated to enhancing the developer experience.
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
