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Duration 14 hours
Course Outline
Hermes Agent Fundamentals
- Overview of Hermes Agent and its role in developer workflows
- Comparison of local AI agent workflows versus cloud-based coding assistants
- Key capabilities, limitations, and typical use cases
Configuring the Local Environment
- Preparing workstations and necessary dependencies
- Installing Hermes Agent and verifying the runtime setup
- Configuring local model access and foundational settings
- Executing an initial workflow to validate the environment
Managing Core Components
- Effectively utilizing prompts, instructions, and context
- Understanding memory and persistent state within local workflows
- Leveraging skills and reusable patterns for common coding tasks
- Safely managing tools and execution boundaries
Designing Practical Code Assistance Workflows
- Defining workflow objectives, inputs, and expected outcomes
- Building 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
- Interacting with repositories, files, and command-line utilities
- Supporting testing and code review processes
- Designing workflows that integrate seamlessly into daily development tasks
Safety, Privacy, and Team Governance
- Restricting tool access and mitigating unsafe actions
- Retaining sensitive code and data within local environments
- Auditing logs, outputs, and workflow traces
- Establishing team policies for secure agent-assisted development
Practical Lab: Building a Secure Local Coding Assistant
- Constructing a basic Hermes Agent workflow for code assistance
- Incorporating prompts, memory, and selected tools
- Testing the workflow against realistic development tasks
- Refining the workflow for enhanced reliability, usability, and safety
Troubleshooting and Next Steps
- Resolving common setup and configuration challenges
- Diagnosing workflow failures and ambiguous outputs
- Identifying areas for improvement and planning adoption steps
Requirements
- Proficiency with software development workflows and source code management tools
- Experience utilizing command-line interfaces and development environments
- Fundamental programming skills
Target Audience
- Developers looking to leverage local AI agents for coding support
- Technical team leads accountable for secure developer workflows
- DevOps and platform engineers supporting internal AI tooling initiatives
