Understanding an agent harness means seeing how it fails, not just how it works. This course takes that approach, building, breaking, inspecting, and repairing real projects on screen so you can read trajectories, diagnose problems, and verify that safeguards actually hold.

This Course Offers

• The plugin architecture behind DeepSeek Harness, including Web UI exploration, installation, project diagnosis, and full trajectory inspection
• Custom plugin, command, service, tool, and local skill construction, plus how Cordis connects providers and consumers and how plugin layers mount and unmount cleanly
• Permissions, one time approvals, sandbox boundaries, secret protection, and policy guardrails, demonstrated with both allowed and blocked behaviour
• Workflow lessons covering Plan Mode, live checklists, context compaction, child agent sessions, parallel agents, and structured multi agent coordination
• Comparison of the Web UI, headless mode, and Python SDK surfaces for sessions, reuse, logs, configuration, and programmatic execution

Why We Love This Course

1. It uses failures as teaching material rather than hiding them, which is how you learn to debug agent behaviour.
2. Safety gets treated as an engineering requirement, with blocked behaviour shown and cleanup verified rather than just described.
3. Multi agent workflows are covered practically, including stopping long running loops without damaging the project.
4. At one hour across thirty lessons, it is a focused introduction to a specific open source tool rather than a broad survey.

Agent systems are only as useful as the boundaries around them, and understanding permissions and trajectories is what makes them safe to run against real work. Do you want to trust the output, or verify it yourself? Enrollment is open, and basic terminal familiarity will help.

• This course is perfect for developers who want to understand and customize an open source AI agent harness.
• It suits AI engineers building agent tools, plugins, safety policies, and multi agent workflows.
• Python and JavaScript developers exploring the SDK and plugin architecture, and technical learners wanting practical agent debugging examples, will find the screen based approach useful.

• Basic terminal and programming familiarity is helpful, though every Harness specific step is demonstrated on screen.
• Node.js is recommended for the Web UI and plugin exercises.
• Git, Python, and access to a DeepSeek compatible API are useful for the source and SDK sections.

Interested in exploring more lessons? Check out our full course library to continue building your skills and advancing your learning journey.