Get in Touch

Course Outline

Hermes Agent Fundamentals

  • Overview of Hermes Agent and its role within developer workflows.
  • 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 setup.
  • Configuring access to local models and initial settings.
  • Executing a preliminary workflow to validate the environment.

Utilizing Core Components

  • Effective use of prompts, instructions, and contextual data.
  • Understanding memory mechanisms and persistent state 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 desired outputs.
  • Developing workflows for code explanation, review, and debugging.
  • Structuring prompts to ensure consistent and effective agent behavior.
  • Safely 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 align with daily development tasks.

Safety, Privacy, and Team Governance

  • Restricting tool access to minimize unsafe actions.
  • Retaining sensitive code and data within local environments.
  • Reviewing logs, outputs, and workflow traces for accountability.
  • Establishing team policies for secure agent-assisted development.

Practical Lab: Building a Secure Local Coding Assistant

  • Creating a simple Hermes Agent workflow for code assistance.
  • Incorporating prompts, memory features, and selected tools.
  • Testing the workflow against realistic development tasks.
  • Refining the workflow to enhance reliability, usability, and safety.

Troubleshooting and Future Steps

  • Addressing common setup and configuration challenges.
  • Diagnosing workflow failures and interpreting unclear outputs.
  • Identifying opportunities for improvement and outlining adoption next steps.

Requirements

  • Understanding of software development workflows and source code management practices.
  • Proficiency with command-line tools and standard development environments.
  • Foundational programming experience.

Target Audience

  • Developers seeking to utilize local AI agents for coding support.
  • Technical leads responsible for maintaining secure development workflows.
  • DevOps and platform engineers supporting internal AI tooling infrastructure.
 14 Hours

Upcoming Courses

Related Categories