Get in Touch
 Duration 14 hours

Course Outline

Introduction to DeepSeek Harness

  • Overview of DeepSeek Harness and its role in the ecosystem
  • The "everything is a plugin" design philosophy
  • Exploring Web UI, CLI, and headless modes

Installation and Initial Setup

  • Node.js prerequisites and package installation
  • Starting the Web UI using npx
  • Building and executing from source code

Model Configuration

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

Workspaces and Sessions

  • Selecting and managing workspaces
  • Using the session composer and managing conversation flow
  • Reading, editing, and generating files

Executing Coding Tasks

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

Permissions and Sandboxing

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

Built-in Tools and Integrations

  • Utilizing filesystem, terminal, and shell tools
  • Support for the Model Context Protocol
  • Integration with the Language Server Protocol

Subagents and Delegation

  • Creating and forking subagents
  • Product providers for other coding agents
  • Delegating tasks across a session

The Cordis Plugin Model

  • Plugins as services, events, and effects
  • Shared context and lifecycle management
  • The absence of a privileged core

Profiles, Bundles, and Configuration

  • Layering profiles and bundles
  • Modifying configuration via cordis.patch.yml
  • Inspecting the booted component tree

Core Subsystems

  • The append-only session log
  • Assembling system prompts and tool schemas
  • The agent loop and turn flow mechanics

Events and Extension Points

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

Plugin Development

  • Registering services on context keys
  • Adding tools and model adapters
  • Publishing and discovering plugins

SDK, Headless Mode, and Automation

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

Requirements

  • A solid grasp of software development fundamentals
  • Proficiency in using the command line and Git
  • Basic knowledge of JavaScript or TypeScript

Target Audience

  • Software Developers
  • AI and Machine Learning Engineers
  • DevOps and Platform Engineers

Number of participants


Price per participant

Upcoming Courses

Related Categories