Hermes Agent for Developers: Designing Local AI Agent Workflows for Secure Code Assistance Training Course

Foundations of Hermes Agent

• Understanding Hermes Agent and its role in developer workflows.
• Comparing local AI agent workflows with cloud-based coding assistants.
• Exploring core capabilities, limitations, and common use cases.

Preparing the Local Environment

• Preparing the workstation and installing necessary dependencies.
• Installing Hermes Agent and verifying the runtime configuration.
• Configuring local model access and initial settings.
• Executing an initial workflow to validate the environment.

Utilising Core Components

• Effectively using prompts, instructions, and context.
• Understanding memory and persistent state in local workflows.
• Leveraging skills and reusable patterns for routine coding tasks.
• Managing tools and execution boundaries with safety in mind.

Designing Practical Code Support Workflows

• Defining workflow objectives, inputs, and expected outputs.
• Creating workflows for code explanation, review, and debugging.
• Structuring prompts to ensure consistent and useful agent behaviour.
• Handling local files and repositories with appropriate safeguards.

Integration with Developer Tools

• Working with repositories, files, and command-line utilities.
• Supporting testing and code review activities.
• Designing workflows that integrate seamlessly with daily development tasks.

Safety, Privacy, and Organisational Governance

• Limiting tool access and minimising the risk of unsafe actions.
• Ensuring sensitive code and data remain within local environments.
• Reviewing logs, outputs, and workflow traces.
• Establishing team policies for secure agent-assisted development.

Practical Lab: Building a Secure Local Coding Assistant

• Creating a basic Hermes Agent workflow for code assistance.
• Adding prompts, memory, and selected tools.
• Testing the workflow against realistic development tasks.
• Refining the workflow for reliability, usability, and safety.

Troubleshooting and Future Steps

• Resolving common setup and configuration issues.
• Diagnosing workflow failures and ambiguous outputs.
• Identifying opportunities for improvement and next steps for adoption.