DeepSeek Harness: Building and Extending AI Coding Agents Training Course
DeepSeek Harness (dsh) is an open-source agent framework from DeepSeek AI designed for creating and executing AI coding agents. Leveraging the Cordis plugin framework, it employs an "everything is a plugin" architecture where the model adapter, tool registry, session log, and agent loop function as interchangeable components configured during startup.
This instructor-led, live training (available online or on-site) is tailored for software developers and AI engineers who want to leverage DeepSeek Harness to build, manage, and expand AI coding agents within their own projects.
Upon completing this training, participants will be equipped to:
- Install and run DeepSeek Harness, including model configuration.
- Execute coding tasks via the Web UI and command line interface.
- Describe the Cordis plugin architecture and its extension capabilities.
- Create and release custom plugins for the harness.
- Automate harness operations using the SDK and headless mode.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practice sessions.
- Hands-on implementation within a live-lab environment.
Course Customization Options
- To request a customized training program, please contact us to make arrangements.
Course Outline
Introduction to DeepSeek Harness
- Overview of DeepSeek Harness and its role in the ecosystem.
- The "everything is a plugin" design principle.
- Web UI, CLI, and headless operation modes.
Installation and Initial Setup
- Node.js prerequisites and package installation.
- Starting the Web UI using npx.
- Compiling and running from source code.
Model Configuration
- Configuring the DeepSeek API key.
- Selecting and switching between models.
- Integrating OpenAI-compatible endpoints.
Workspaces and Sessions
- Managing and switching between workspaces.
- The session composer and conversational workflow.
- Operations for reading, editing, and generating files.
Executing Coding Tasks
- Summarizing repositories and navigating codebases.
- Running commands and delegating specific tasks.
- Maintaining and tracking task plans.
Permissions and Sandbox Environment
- Defining approval and permission policies.
- Restricting file and command access.
- Local and remote sandbox backends.
Built-in Tools and Integrations
- Filesystem, terminal, and shell utilities.
- Support for the Model Context Protocol.
- Integration with the Language Server Protocol.
Subagents and Delegation
- Creating and forking subagents.
- Product providers for integrating other coding agents.
- Distributing work across a session.
The Cordis Plugin Model
- Plugins defined as services, events, and effects.
- Shared context and lifecycle management.
- The rationale behind having no privileged core.
Profiles, Bundles, and Configuration
- Profile and bundle layering strategies.
- Modifying configuration via cordis.patch.yml.
- Examining the initialized configuration tree.
Core Subsystems
- The append-only session logging mechanism.
- Assembly of system prompts and tool schemas.
- The agent loop and turn processing flow.
Events and Extension Points
- Session, agent, and capability events.
- Waterfall and interceptor event types.
- Aligning behavior with extension points.
Plugin Development
- Registering services on context keys.
- Incorporating tools and model adapters.
- Publishing and discovering plugins.
SDK, Headless, and Automation
- Controlling the harness from external processes.
- Utilizing TypeScript and Python SDKs.
- Automation via CLI and headless modes.
Requirements
- A solid grasp of software development fundamentals.
- Practical experience with the command line and Git.
- Familiarity with JavaScript or TypeScript.
Target Audience
- Software developers.
- AI and machine learning engineers.
- DevOps and platform engineers.
Need help picking the right course?
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DeepSeek Harness: Building and Extending AI Coding Agents Training Course - Enquiry
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