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Duration 14 hours
Course Outline
Foundations of Hermes Agent
- The definition of Hermes Agent and its role within developer workflows
- A comparison between local AI agent workflows and cloud-based coding assistants
- Essential capabilities, inherent limitations, and common use cases
Preparing the Local Environment
- Configuring 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
Interacting with Core Components
- Effectively utilizing prompts, instructions, and contextual information
- Comprehending memory and persistent state within local workflows
- Leveraging skills and reusable patterns for routine coding tasks
- Safely managing tools and defining execution boundaries
Crafting Practical Code Assistance Workflows
- Defining workflow objectives, input parameters, and anticipated results
- Developing workflows for code explanation, review, and debugging
- Structuring prompts to ensure consistent and effective agent behavior
- Managing local files and repositories with appropriate protective measures
Integration with Developer Tools
- Collaborating with repositories, files, and command-line utilities
- Facilitating testing and code review processes
- Designing workflows that integrate seamlessly into daily development routines
Security, Privacy, and Organizational Governance
- Restricting tool access and mitigating risky actions
- Ensuring sensitive code and data remain within local environments
- Auditing logs, outputs, and workflow execution 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
- Incorporating prompts, memory features, and specific tools
- Testing the workflow against realistic development tasks
- Optimizing the workflow for reliability, user experience, and safety
Troubleshooting and Future Steps
- Addressing common setup and configuration challenges
- Diagnosing workflow errors and ambiguous outputs
- Identifying areas for improvement and subsequent adoption steps
Requirements
- Proficiency in software development workflows and source code management
- Practical experience utilizing command-line tools and development environments
- Fundamental programming skills
Target Audience
- Developers seeking to leverage local AI agents for coding support
- Technical team leads overseeing secure developer workflows
- DevOps and platform engineers managing internal AI tooling
