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Duration 14 hours
Course Outline
Hermes Agent Fundamentals
- The definition of Hermes Agent and its role within developer workflows.
- A comparison between local AI agent workflows and cloud-based coding assistants.
- Key capabilities, limitations, and common use cases.
Establishing the Local Environment
- Preparing the workstation and installing necessary dependencies.
- Installing Hermes Agent and verifying the runtime configuration.
- Setting up local model access and fundamental parameters.
- Executing an initial workflow to validate the environment setup.
Utilizing Core Components
- Effective use of prompts, instructions, and contextual data.
- Understanding memory management and persistent state in local workflows.
- Leveraging skills and reusable patterns for routine coding tasks.
- Safely managing tools and defining execution boundaries.
Designing Practical Code Assistance Workflows
- Defining workflow objectives, inputs, and desired outputs.
- Creating workflows for code explanation, review, and debugging.
- Structuring prompts to ensure consistent and useful agent behavior.
- Managing local files and repositories with appropriate security safeguards.
Integration with Developer Tools
- Working with repositories, files, and command-line utilities.
- Supporting testing and code review activities.
- Designing workflows that integrate seamlessly into daily development tasks.
Safety, Privacy, and Team Governance
- Restricting tool access to minimize 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: Constructing a Secure Local Coding Assistant
- Building a basic Hermes Agent workflow for code assistance.
- Incorporating prompts, memory, and specific tools.
- Testing the workflow against realistic development tasks.
- Refining the workflow for enhanced reliability, usability, and safety.
Troubleshooting and Future Steps
- Resolving common setup and configuration challenges.
- Diagnosing workflow failures and ambiguous outputs.
- Identifying opportunities for improvement and next steps for adoption.
Requirements
- Knowledge of software development workflows and source code management practices.
- Proficiency with command-line tools and standard development environments.
- Fundamental programming skills.
Target Audience
- Developers looking to integrate local AI agents into their coding support processes.
- Technical team leads tasked with maintaining secure developer workflows.
- DevOps and platform engineers managing internal AI tooling.
