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Duration 14 hours
Course Outline
Introduction to Devstral and Coding Agents
- An overview of the Devstral architecture.
- Core concepts of agentic AI in software engineering.
- Key use cases for deploying coding agents.
Preparing the Development Environment
- Installing and configuring the Devstral framework.
- Integrating with Python and Git workflows.
- Setting up IDE support using Visual Studio Code.
Designing Effective Coding Agents
- Defining specific agent roles and capabilities.
- Structuring workflows for code navigation and refactoring.
- Implementing robust error handling and rollback strategies.
Integrating Tools and APIs
- Linking agents to essential developer tools.
- Establishing API connections for external services.
- Developing automation patterns with coding agents.
Applying Agentic Workflows
- Performing code exploration and automated documentation generation.
- Assisting with automated refactoring and testing tasks.
- Engaging in collaborative coding sessions with agents.
Security Protocols and Best Practices
- Creating safe execution environments for agents.
- Managing access controls and permissions.
- Monitoring and logging agent activities for accountability.
Scaling and Maintaining Coding Agents
- Deploying agents across multiple teams and projects.
- Ensuring the maintenance and updating of agent workflows.
- Driving continuous improvement through feedback loops.
Conclusion and Future Directions
Requirements
- A robust command of Python.
- Practical experience with software development workflows.
- Familiarity with API structures and code integration patterns.
Target Audience
- Machine Learning Engineers.
- Teams focused on developer tooling.
- SREs dedicated to enhancing 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
