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Course Outline

Foundations of Hermes Agent

  • Defining Hermes Agent and its role within developer workflows
  • Comparing local AI agent workflows with cloud-based coding assistants
  • Examining core capabilities, constraints, and common use cases

Configuring the Local Environment

  • Preparing workstations 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

Utilizing Core Components

  • Effectively leveraging prompts, instructions, and context
  • Comprehending memory and persistent state in local workflows
  • Employing skills and reusable patterns for standard coding tasks
  • Safely managing tools and defining execution boundaries

Developing Practical Code Assistance Workflows

  • Establishing workflow objectives, inputs, and anticipated outcomes
  • Building workflows for code explanation, review, and debugging
  • Crafting prompts to ensure consistent and effective agent behavior
  • Managing local files and repositories with appropriate security measures

Integration with Developer Tools

  • Interacting with repositories, files, and command-line utilities
  • Facilitating testing and code review processes
  • Creating workflows that align with daily development activities

Ensuring Safety, Privacy, and Team Governance

  • Restricting tool access and mitigating risky actions
  • Maintaining sensitive code and data within local boundaries
  • Analyzing logs, outputs, and workflow traces
  • Formulating team policies for secure agent-assisted development

Hands-On Lab: Constructing a Secure Local Coding Assistant

  • Developing a basic Hermes Agent workflow for code support
  • Incorporating prompts, memory features, and selected tools
  • Testing the workflow against realistic development scenarios
  • Optimizing the workflow for reliability, ease of use, and safety

Troubleshooting and Future Actions

  • Addressing common setup and configuration challenges
  • Diagnosing workflow errors and ambiguous outputs
  • Identifying opportunities for enhancement and adoption strategies

Requirements

  • Understanding of software development processes and source code management
  • Proficiency in using command-line interfaces and development environments
  • Foundational programming knowledge

Target Audience

  • Developers seeking to leverage local AI agents for coding assistance
  • Technical leaders overseeing secure developer workflows
  • DevOps and platform engineers managing internal AI tooling
 14 Hours

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