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Duration 14 hours
Course Outline
Hermes Agent Fundamentals
- Understanding Hermes Agent and its role in developer workflows.
- Comparing local AI agent workflows with cloud-based coding assistants.
- Exploring core capabilities, limitations, and typical use cases.
Setting Up the Local Environment
- Preparing the workstation and installing necessary dependencies.
- Installing Hermes Agent and verifying the runtime setup.
- Configuring local model access and basic settings.
- Executing an initial workflow to validate the environment.
Working with Core Components
- Effectively utilizing prompts, instructions, and context.
- Understanding memory and persistent state in local workflows.
- Leveraging skills and reusable patterns for common coding tasks.
- Managing tools and execution boundaries with safety in mind.
Designing Practical Code Assistance Workflows
- Defining workflow goals, inputs, and expected outputs.
- Creating workflows for code explanation, review, and debugging.
- Structuring prompts to ensure consistent and useful agent behavior.
- Handling local files and repositories with appropriate safeguards.
Integrating with Developer Tools
- Working with repositories, files, and command-line utilities.
- Supporting testing and code review activities.
- Designing workflows that seamlessly fit into daily development tasks.
Safety, Privacy, and Team Governance
- Limiting tool access and reducing the risk of unsafe actions.
- Keeping sensitive code and data within local environments.
- Reviewing logs, outputs, and workflow traces.
- Defining team policies for secure agent-assisted development.
Practical Lab: Building a Secure Local Coding Assistant
- Creating a simple Hermes Agent workflow for code assistance.
- Adding prompts, memory, and selected tools.
- Testing the workflow with realistic development tasks.
- Refining the workflow for reliability, usability, and safety.
Troubleshooting and Next Steps
- Resolving common setup and configuration issues.
- Diagnosing workflow failures and unclear outputs.
- Identifying improvement opportunities and adoption next steps.
Requirements
- Proficiency with software development workflows and source code management practices.
- Experience utilizing command-line tools and standard development environments.
- Foundational programming knowledge.
Target Audience
- Developers seeking to integrate local AI agents into their coding workflow.
- Technical team leads accountable for maintaining secure developer practices.
- DevOps and platform engineers responsible for supporting internal AI tooling.
