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Duration 14 hours
Course Outline
Hermes Agent Fundamentals
- Understanding what Hermes Agent is and its role in developer workflows
- Comparing local AI agent workflows with cloud-based coding assistants
- Exploring core capabilities, limitations, and typical use cases
Configuring the Local Environment
- Preparing the workstation and installing necessary dependencies
- Installing Hermes Agent and verifying the runtime setup
- Configuring local model access and basic parameters
- Executing an initial workflow to validate the environment
Managing Core Components
- Effectively utilizing prompts, instructions, and context
- Comprehending memory and persistent state within local workflows
- Leveraging skills and reusable patterns for common coding tasks
- Safely managing tools and execution boundaries
Architecting Practical Code Assistance Workflows
- Defining workflow objectives, inputs, and expected outputs
- Creating workflows for code explanation, review, and debugging
- Structuring prompts to ensure consistent and useful agent behavior
- Handling local files and repositories with appropriate safeguards
Integration with Developer Tools
- Working with repositories, files, and command-line utilities
- Supporting testing and code review activities
- Designing workflows that seamlessly fit into daily development tasks
Safety, Privacy, and Team Governance
- Limiting tool access and mitigating unsafe actions
- Retaining sensitive code and data within local environments
- Reviewing logs, outputs, and workflow traces
- Establishing team policies for secure agent-assisted development
Practical Lab: Constructing a Secure Local Coding Assistant
- Developing a basic Hermes Agent workflow for code assistance
- Implementing prompts, memory, and selected tools
- Testing the workflow against realistic development tasks
- Refining the workflow for reliability, usability, and safety
Troubleshooting and Future Steps
- Resolving common setup and configuration challenges
- Diagnosing workflow failures and ambiguous outputs
- Identifying opportunities for improvement and next steps for adoption
Requirements
- Proficiency with software development workflows and source code management
- Experience utilizing command-line tools and development environments
- Foundational programming experience
Audience
- Developers seeking to integrate local AI agents into their coding support processes
- Technical team leads accountable for maintaining secure developer workflows
- DevOps and platform engineers overseeing internal AI tooling infrastructure
