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Duration 14 hours
Course Outline
Foundations of Hermes Agent
- Overview of Hermes Agent and its role within developer workflows
- Comparing local AI agent workflows with cloud-based coding assistants
- Key capabilities, limitations, and common use cases
Establishing the Local Environment
- Preparing the workstation and installing necessary dependencies
- Installing Hermes Agent and verifying the runtime configuration
- Setting up local model access and basic parameters
- Executing an initial workflow to validate the environment setup
Utilizing Core Components
- Effective use of prompts, instructions, and context management
- Understanding memory and persistent state within local workflows
- Leveraging skills and reusable patterns for standard coding tasks
- Safely managing tools and defining execution boundaries
Creating Practical Code Assistance Workflows
- Defining workflow objectives, inputs, and anticipated outputs
- Building workflows for code explanation, review, and debugging
- Structuring prompts to ensure consistent and beneficial agent behavior
- Managing local files and repositories with appropriate security measures
Integration with Developer Tools
- Working with repositories, files, and command-line utilities
- Facilitating testing and code review activities
- Designing workflows that align with daily development routines
Safety, Privacy, and Team Governance
- Restricting tool access and minimizing unsafe actions
- Ensuring sensitive code and data remain within local environments
- Analyzing logs, outputs, and workflow traces
- Formulating team policies for secure, agent-assisted development
Practical Lab: Constructing a Secure Local Coding Assistant
- Developing a simple Hermes Agent workflow for code assistance
- Incorporating prompts, memory, and selected tools
- Testing the workflow against realistic development tasks
- Refining the workflow to enhance reliability, usability, and safety
Troubleshooting and Future Steps
- Addressing common setup and configuration challenges
- Diagnosing workflow failures and ambiguous outputs
- Identifying areas for improvement and planning adoption next steps
Requirements
- Understanding of software development workflows and source code management practices
- Proficiency with command-line tools and standard development environments
- Fundamental programming experience
Audience
- Developers aiming to utilize local AI agents for coding support
- Technical team leads overseeing secure developer workflows
- DevOps and platform engineers supporting internal AI tooling infrastructure
