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Duration 14 hours
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
