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Duration 14 hours
Course Outline
Hermes Agent Fundamentals
- Understanding what Hermes Agent is and its role in developer workflows.
- Comparing local AI agent workflows with cloud-based coding assistants.
- Exploring core capabilities, limitations, and common use cases.
Configuring the Local Environment
- Preparing the workstation and installing necessary dependencies.
- Installing Hermes Agent and verifying the runtime configuration.
- Setting up local model access and adjusting basic settings.
- Executing an initial workflow to validate the environment setup.
Managing Core Components
- Effectively utilizing prompts, instructions, and context.
- Understanding memory and persistent state management in local workflows.
- Applying skills and reusable patterns for routine coding tasks.
- Safely managing tools and defining execution boundaries.
Developing Practical Code Assistance Workflows
- Defining workflow objectives, inputs, and expected outcomes.
- Creating workflows for code explanation, review, and debugging.
- Structuring prompts to ensure consistent and effective agent behavior.
- Handling local files and repositories with appropriate security measures.
Integration with Developer Tools
- Interacting with repositories, files, and command-line utilities.
- Supporting testing and code review processes.
- Designing workflows that seamlessly fit into daily development routines.
Safety, Privacy, and Organizational Governance
- Restricting tool access and minimizing unsafe actions.
- Ensuring sensitive code and data remain within local environments.
- Reviewing logs, outputs, and workflow execution traces.
- Establishing team policies for secure, agent-assisted development.
Practical Lab: Creating a Secure Local Coding Assistant
- Building a basic Hermes Agent workflow for code assistance.
- Incorporating prompts, memory features, and selected tools.
- Testing the workflow using realistic development tasks.
- Optimizing the workflow for reliability, usability, and safety.
Troubleshooting and Future Steps
- Addressing common setup and configuration challenges.
- Diagnosing workflow failures and ambiguous outputs.
- Identifying opportunities for improvement and next steps for adoption.
Requirements
- Working knowledge of software development processes and source code management.
- Practical experience with command-line interfaces and development environments.
- Fundamental programming skills.
Target Audience
- Developers seeking to integrate local AI agents for coding assistance.
- Technical leaders accountable for maintaining secure developer workflows.
- DevOps and platform engineers overseeing internal AI tooling.