Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Foundations of Hermes Agent
- Overview of Hermes Agent and its role within developer workflows.
- Comparison of local AI agent workflows against cloud-based coding assistants.
- Examination of core capabilities, inherent limitations, and standard use cases.
Establishing the Local Environment
- Preparing the workstation and installing necessary dependencies.
- Installing Hermes Agent and verifying the runtime configuration.
- Setting up local model access and configuring basic parameters.
- Executing an initial workflow to validate the setup.
Utilizing Core Components
- Effectively using prompts, instructions, and context management.
- Understanding memory mechanisms and persistent state in local workflows.
- Leveraging skills and reusable patterns for standard coding tasks.
- Safely managing tools and defining execution boundaries.
Architecting Practical Code Assistance Workflows
- Defining workflow objectives, input parameters, and expected outcomes.
- Creating workflows for code explanation, review, and debugging processes.
- Structuring prompts to ensure consistent and useful agent behavior.
- Handling local files and repositories with appropriate security safeguards.
Integration with Developer Tools
- Collaborating with repositories, files, and command-line utilities.
- Supporting testing cycles and code review activities.
- Designing workflows that integrate seamlessly into daily development routines.
Safety, Privacy, and Organizational Governance
- Restricting tool access and minimizing the risk of unsafe actions.
- Ensuring sensitive code and data remain within local environments.
- Reviewing logs, outputs, and workflow traceability.
- Establishing team policies for secure, agent-assisted development.
Practical Laboratory: Constructing a Secure Local Coding Assistant
- Building a foundational Hermes Agent workflow for code assistance.
- Incorporating prompts, memory modules, and selected tools.
- Testing the workflow against realistic development tasks.
- Optimizing the workflow for reliability, usability, and safety.
Troubleshooting and Future Directions
- Addressing common setup and configuration challenges.
- Diagnosing workflow failures and interpreting unclear outputs.
- Identifying opportunities for improvement and outlining adoption strategies.
Requirements
- Proficiency in software development workflows and source code management practices.
- Hands-on experience with command-line tools and professional development environments.
- Fundamental programming skills.
Target Audience
- Developers seeking to integrate local AI agents into their coding support processes.
- Technical leads overseeing the security and efficiency of developer workflows.
- DevOps and platform engineers responsible for managing internal AI tooling infrastructure.
