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Duration 14 hours
Course Outline
Hermes Agent Fundamentals
- Overview of Hermes Agent and its role within developer workflows
- Comparison of local AI agent workflows against cloud-based coding assistants
- Core capabilities, inherent limitations, and primary use cases
Local Environment Configuration
- Preparation of workstations and verification of necessary dependencies
- Installation of Hermes Agent and validation of the runtime setup
- Configuration of local model access and foundational settings
- Execution of an initial workflow to validate the environment
Utilizing Core Components
- Effective application of prompts, instructions, and context
- Comprehension of memory and persistent state mechanisms in local workflows
- Leveraging skills and reusable patterns for routine coding tasks
- Safe management of tools and execution boundaries
Designing Practical Code Assistance Workflows
- Definition of workflow objectives, inputs, and anticipated outputs
- Creation of workflows dedicated to code explanation, review, and debugging
- Structuring prompts to ensure consistent and beneficial agent behavior
- Safe handling of local files and repositories with appropriate safeguards
Developer Tool Integration
- Interaction with repositories, files, and command-line utilities
- Support for testing and code review activities
- Designing workflows that seamlessly integrate into daily development routines
Safety, Privacy, and Governance
- Restricting tool access and mitigating unsafe actions
- Ensuring sensitive code and data remain within local environments
- Auditing logs, outputs, and workflow traces
- Establishing team policies for secure, agent-assisted development
Practical Lab: Constructing a Secure Local Coding Assistant
- Development of a basic Hermes Agent workflow for code assistance
- Incorporation of prompts, memory, and selected tools
- Testing the workflow against realistic development tasks
- Optimizing the workflow for reliability, usability, and safety
Troubleshooting and Future Steps
- Resolution of common setup and configuration challenges
- Diagnosis of workflow failures and ambiguous outputs
- Identification of improvement opportunities and subsequent adoption steps
Requirements
- Working knowledge of software development lifecycles and source code management practices
- Practical experience utilizing command-line tools and standard development environments
- Fundamental programming proficiency
Target Audience
- Developers seeking to integrate local AI agents for coding support
- Technical leads overseeing the security of developer workflows
- DevOps and platform engineers responsible for maintaining internal AI tooling
