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Course Outline

Hermes Agent Fundamentals

  • Overview of Hermes Agent and its role within developer workflows
  • Comparison of local AI agent workflows versus cloud-based coding assistants
  • Key capabilities, inherent limitations, and standard use cases

Configuring the Local Environment

  • Preparing the workstation and ensuring all necessary dependencies are met
  • Installing Hermes Agent and verifying the runtime configuration
  • Setting up local model access and adjusting basic parameters
  • Executing an initial workflow to validate the environment

Engaging with Core Components

  • Effectively utilizing prompts, instructions, and contextual information
  • Comprehending memory and persistent state management in local workflows
  • Leveraging skills and reusable patterns for common coding tasks
  • Safely managing tools and defining execution boundaries

Designing Practical Code Assistance Workflows

  • Defining workflow objectives, inputs, and expected outcomes
  • Constructing workflows for code explanation, review, and debugging
  • Structuring prompts to ensure consistent and beneficial agent behavior
  • Managing local files and repositories with appropriate security safeguards

Integration with Developer Tools

  • Interacting with repositories, files, and command-line utilities
  • Facilitating testing and code review activities
  • Designing workflows that seamlessly integrate into daily development tasks

Safety, Privacy, and Team Governance

  • Restricting tool access to minimize risky actions
  • Ensuring sensitive code and data remain within local environments
  • Analyzing logs, outputs, and workflow traces
  • Establishing team policies for secure agent-assisted development

Practical Lab: Constructing a Secure Local Coding Assistant

  • Creating a basic Hermes Agent workflow for code assistance
  • Incorporating prompts, memory, and selected tools
  • Testing the workflow against 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 areas for improvement and next steps for adoption

Requirements

  • Understanding of software development workflows and source code management
  • Proficiency in using command-line tools and a development environment
  • Fundamental programming experience

Target Audience

  • Developers aiming to leverage local AI agents for coding support
  • Technical team leads overseeing secure developer workflows
  • DevOps and platform engineers supporting internal AI tools
 14 Hours

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