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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 with cloud-based coding assistants
- Key capabilities, limitations, and common use cases
Local Environment Setup
- Preparation of the workstation and installation of required dependencies
- Installation of Hermes Agent and verification of the runtime environment
- Configuration of local model access and basic settings
- Execution of an initial workflow to validate the setup
Core Component Management
- Effective use of prompts, instructions, and contextual data
- Understanding memory and persistent state in local workflows
- Leveraging skills and reusable patterns for routine coding tasks
- Safe management of tools and execution boundaries
Designing Practical Code Assistance Workflows
- Defining workflow objectives, inputs, and expected outcomes
- Developing workflows for code explanation, review, and debugging
- Structuring prompts to ensure consistent and useful agent behavior
- Handling local files and repositories with appropriate safeguards
Developer Tool Integration
- Interaction with repositories, files, and command-line utilities
- Supporting testing and code review activities
- Integrating workflows into daily development tasks
Safety, Privacy, and Team Governance
- Restricting tool access and minimizing unsafe actions
- Ensuring sensitive code and data remain within local environments
- Reviewing logs, outputs, and workflow traces
- Establishing team policies for secure agent-assisted development
Practical Lab: Building a Secure Local Coding Assistant
- Construction of a basic Hermes Agent workflow for code assistance
- Incorporation of prompts, memory, and selected tools
- Testing the workflow with realistic development tasks
- Refinement for reliability, usability, and safety
Troubleshooting and Next Steps
- Resolution of common setup and configuration issues
- Diagnosis of workflow failures and ambiguous outputs
- Identification of improvement opportunities and adoption strategies
Requirements
- Proficiency with software development workflows and source code management systems
- Experience using command-line interfaces and development environments
- Foundational programming skills
Audience
- Developers looking to leverage local AI agents for coding support
- Technical leads accountable for maintaining secure developer workflows
- DevOps and platform engineers responsible for supporting internal AI tooling
