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Duration 14 hours
Course Outline
Hermes Agent Fundamentals
- An overview of Hermes Agent and its role within developer workflows.
- A comparison between local AI agent workflows and cloud-based coding assistants.
- Key capabilities, inherent limitations, and common use cases.
Setting Up the Local Environment
- Preparing the workstation and installing necessary dependencies.
- Installing Hermes Agent and verifying the runtime configuration.
- Configuring access to local models and adjusting basic settings.
- Executing an initial workflow to validate the environment setup.
Working with Core Components
- Effective utilization of prompts, instructions, and context.
- Understanding memory and persistent state management in local workflows.
- Leveraging skills and reusable patterns for common coding tasks.
- Safely managing tools and defining execution boundaries.
Designing Practical Code Assistance Workflows
- Defining workflow objectives, inputs, and expected outcomes.
- Creating workflows dedicated to code explanation, review, and debugging.
- Structuring prompts to ensure consistent and useful agent behavior.
- Handling local files and repositories with appropriate security safeguards.
Integrating with Developer Tools
- Collaborating with repositories, files, and command-line utilities.
- Supporting testing and code review activities.
- Designing workflows that seamlessly integrate into daily development tasks.
Safety, Privacy, and Team Governance
- Restricting tool access and mitigating unsafe actions.
- Ensuring sensitive code and data remain within local environments.
- Reviewing logs, outputs, and workflow traces for compliance.
- Establishing team policies for secure agent-assisted development.
Practical Lab: Building a Secure Local Coding Assistant
- Constructing a simple Hermes Agent workflow for code assistance.
- Incorporating prompts, memory, and selected tools into the workflow.
- Testing the workflow against realistic development tasks.
- Refining the workflow to enhance reliability, usability, and safety.
Troubleshooting and Next Steps
- Resolving common setup and configuration challenges.
- Diagnosing workflow failures and interpreting unclear outputs.
- Identifying opportunities for improvement and planning adoption strategies.
Requirements
- Proficiency in standard software development workflows and source code management practices.
- Practical experience utilizing command-line interfaces and development environments.
- Foundational knowledge in programming.
Target Audience
- Developers seeking to integrate local AI agents into their coding support processes.
- Technical leads responsible for maintaining secure developer workflows.
- DevOps and platform engineers involved in supporting internal AI tooling initiatives.