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
Foundations of Hermes Agent
- Understanding Hermes Agent’s role and positioning within developer workflows
- Contrasting local AI agent workflows with cloud-based coding assistants
- Key features, constraints, and common application scenarios
Preparing the Local Environment
- Setting up the workstation and installing necessary dependencies
- Deploying Hermes Agent and verifying the runtime configuration
- Configuring access to local models and foundational settings
- Executing an initial workflow to validate the environment setup
Utilizing Core Components
- Effective use of prompts, instructions, and contextual data
- Managing memory and persistent state within local workflows
- Leveraging skills and reusable patterns for routine coding tasks
- Safely managing tool execution and defined boundaries
Designing Practical Code Assistance Workflows
- Defining clear workflow objectives, inputs, and expected results
- Building workflows for code interpretation, review, and debugging
- Structuring prompts to ensure consistent and valuable agent responses
- Handling local files and repositories with appropriate security measures
Integration with Developer Tools
- Interacting with repositories, files, and command-line utilities
- Facilitating testing and code review processes
- Designing workflows that seamlessly fit into daily development routines
Safety, Privacy, and Organizational Governance
- Restricting tool access to minimize risky actions
- Ensuring sensitive code and data remain within local boundaries
- Auditing logs, outputs, and workflow execution traces
- Establishing team policies for secure, agent-assisted development
Practical Lab: Creating a Secure Local Coding Assistant
- Constructing a basic Hermes Agent workflow for code support
- Incorporating prompts, memory features, and specific tools
- Testing the workflow against realistic development tasks
- Optimizing the workflow for reliability, usability, and security
Troubleshooting and Future Steps
- Addressing common setup and configuration challenges
- Diagnosing workflow errors and ambiguous outputs
- Identifying areas for improvement and planning adoption strategies
Requirements
- Working knowledge of software development processes and source control systems
- Experience utilizing command-line interfaces and development environments
- Fundamental programming proficiency
Target Audience
- Developers seeking to integrate local AI agents into their coding workflows
- Technical leads accountable for maintaining secure development pipelines
- DevOps and platform engineers supporting internal AI infrastructure
