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Course Outline

Introduction to DeepSeek Harness

  • Defining DeepSeek Harness and its role in the ecosystem
  • The design principle of "everything is a plugin"
  • Overview of Web UI, CLI, and headless 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
  • Choosing and toggling between different models
  • Integrating OpenAI-compatible endpoints

Workspaces and Sessions

  • Selecting and changing active workspaces
  • Using the session composer and managing conversation flow
  • Reading, modifying, and creating files

Executing Coding Tasks

  • Summarizing repositories and exploring code structures
  • Running commands and distributing tasks
  • Tracking and maintaining a task plan

Permissions and Sandbox Environment

  • Defining approval and permission policies
  • Restricting file and command access
  • Utilizing local and remote sandbox backends

Integrated Tools and Features

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

Subagents and Task Delegation

  • Creating and branching subagents
  • Product providers for alternative coding agents
  • Distributing work across a session

The Cordis Plugin Model

  • Viewing plugins as services, events, and effects
  • Understanding shared context and lifecycle management
  • The rationale behind the absence of a privileged core

Profiles, Bundles, and Configuration

  • Managing profiles and bundle layering
  • Modifying configuration via cordis.patch.yml
  • Reviewing the initialized configuration tree

Core Subsystems

  • The append-only session log structure
  • Assembly of system prompts and tool schemas
  • The agent loop and turn processing flow

Events and Extension Points

  • Handling session, agent, and capability events
  • Processing waterfall and interceptor events
  • Linking behaviors to specific extension points

Plugin Development

  • Registering services under context keys
  • Incorporating new tools and model adapters
  • Releasing and discovering plugins

SDK, Headless Mode, and Automation

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

Requirements

  • Familiarity with the fundamentals of software development
  • Practical experience with command-line interfaces and Git
  • Basic knowledge of JavaScript or TypeScript

Target Audience

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

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