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Duration 14 hours
Course Outline
Fundamentals of Devstral and Coding Agents
- Architectural overview of Devstral
- Application of agentic AI concepts in software engineering
- Practical use cases for coding agents
Development Environment Setup
- Installation and configuration of Devstral
- Integration with Python and Git workflows
- IDE support using Visual Studio Code
Architecture and Design of Coding Agents
- Defining specific agent roles and capabilities
- Designing workflows for code navigation and refactoring
- Strategies for error handling and rollback
Integration of Tools and APIs
- Linking agents to developer tools
- Connecting to external services via APIs
- Implementing automation patterns with coding agents
Practical Application of Agentic Workflows
- Code exploration and automated documentation generation
- Assistance with automated refactoring and testing
- Collaborative coding practices with agents
Security Standards and Best Practices
- Establishing safe execution environments
- Managing access controls and permissions
- Monitoring and logging agent activities
Scaling and Maintenance of Coding Agents
- Deploying agents across various teams and projects
- Managing updates and maintenance of agent workflows
- Continuous improvement through feedback loops
Conclusion and Path Forward
Requirements
- Proficient command of Python
- Practical experience with software development workflows
- Working knowledge of APIs and code integration
Target Audience
- ML engineers
- Developer tooling teams
- SREs focused on enhancing developer experience
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3200 € + VAT*
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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
