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Course Outline

Introduction to DeepSeek Harness

  • What DeepSeek Harness is and where it fits
  • The "everything is a plugin" design philosophy
  • Web UI, CLI, and headless modes

Installation and First Run

  • Node.js requirements and package installation
  • Launching the Web UI with npx
  • Building and running from source

Model Configuration

  • Setting the DeepSeek API key
  • Selecting and switching models
  • Adding OpenAI-compatible endpoints

Workspaces and Sessions

  • Choosing and switching workspaces
  • The session composer and conversation flow
  • Reading, editing, and generating files

Running Coding Tasks

  • Summarizing repositories and navigating code
  • Running commands and delegating work
  • Maintaining a task plan

Permissions and the Sandbox

  • Approval and permission policies
  • Confining file and command access
  • Local and remote sandbox backends

Built-in Tools and Integrations

  • Filesystem, terminal, and shell tools
  • Model Context Protocol support
  • Language Server Protocol integration

Subagents and Delegation

  • Spawning and forking subagents
  • Product providers for other coding agents
  • Delegating work across a session

The Cordis Plugin Model

  • Plugins as services, events, and effects
  • The shared context and lifecycle
  • Why there is no privileged core

Profiles, Bundles, and Configuration

  • Profiles and bundle layering
  • Patching configuration with cordis.patch.yml
  • Inspecting the booted tree

Core Subsystems

  • The append-only session log
  • System prompt and tool schema assembly
  • The agent loop and turn flow

Events and Extension Points

  • Session, agent, and capability events
  • Waterfall and interceptor events
  • Mapping behavior to extension points

Developing Plugins

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

SDK, Headless, and Automation

  • Driving the harness from another process
  • The TypeScript and Python SDKs
  • CLI and headless automation

Requirements

  • An understanding of software development fundamentals
  • Experience using the command line and Git
  • Basic familiarity with JavaScript or TypeScript

Audience

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

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  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
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