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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, command-line, and headless operational modes

Setup and Initial Execution

  • Node.js prerequisites and package management
  • Starting the Web interface using npx
  • Compiling and running from source code

Model Setup

  • Configuring the DeepSeek API key
  • Choosing and switching between models
  • Integrating OpenAI-compatible endpoints

Workspaces and Session Management

  • Selecting and toggling between workspaces
  • Managing the session composer and dialogue flow
  • Reading, modifying, and creating files

Executing Coding Tasks

  • Summarizing repositories and navigating codebases
  • Running commands and delegating operations
  • Maintaining an organized task plan

Permissions and Sandbox Environment

  • Approval workflows and permission policies
  • Restricting file and command access
  • Utilizing local and remote sandbox backends

Native Tools and Integrations

  • Filesystem, terminal, and shell utilities
  • Support for the Model Context Protocol
  • Integration with the Language Server Protocol

Sub-agents and Delegation

  • Creating and forking sub-agents
  • Integrating providers for other coding agents
  • Distributing tasks across a session

The Cordis Plugin Model

  • Plugins as services, events, and effects
  • Shared context and lifecycle management
  • The rationale behind a non-privileged core

Profiles, Bundles, and Configuration

  • Layering profiles and bundles
  • Adjusting configuration via cordis.patch.yml
  • Reviewing the initialized system tree

Core Subsystems

  • The append-only session logging system
  • Assembly of system prompts and tool schemas
  • The agent loop and turn-based flow

Events and Extension Points

  • Session, agent, and capability events
  • Waterfall and interceptor event patterns
  • Aligning behavior with specific extension points

Plugin Development

  • Registering services via context keys
  • Incorporating tools and model adapters
  • Publishing and identifying plugins

SDK, Headless Mode, and Automation

  • Controlling the harness from external processes
  • Utilizing TypeScript and Python SDKs
  • Automating tasks via CLI and headless operations

Requirements

  • A solid grasp of fundamental software development concepts
  • Proficiency with command-line interfaces and Git
  • Basic knowledge of JavaScript or TypeScript

Target Audience

  • Software developers
  • AI and machine learning specialists
  • DevOps and platform engineers
 14 Hours

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