Video summary
A DeepSeek Lançou um Claude Code DE GRAÇA e Sem Cartão #deepseekharness #claudecode #ia #iagratis
Main summary
Key takeaways
DeepSeek Harness Overview (What It Is)
- DeepSeek didn’t launch a new chat model or a new conversational AI (not a “V4”-type model and not just a new Chat feature).
- Instead, it released a local program/tool called Harness that you install on your machine.
- Harness provides an interface to work with AI alongside your files and terminal.
- Key idea from the official project page: “Everything is a plugin.”
- Harness is framed as a plugin-based ecosystem, not a single monolithic product.
What Problem Harness Solves vs. “Just Using ChatGPT”
The speaker contrasts Harness with opening an AI directly inside a chat app:
- Harness provides an environment composed of plugins, so you can connect the tools you want without being overwhelmed by an all-in-one toolset.
- It’s described as model-agnostic:
- You don’t have to use DeepSeek specifically—you can connect other providers and models.
Tutorial: Installing and First Run
Prerequisite
- Install Node.js from nodejs.org.
Launch via NPX
- Run Harness using an NPX command (copy/paste into Windows Terminal or your terminal).
API Key Prompt (Optional at First)
- When you open the provided local/hosted link, Harness may ask for a DeepSeek API key.
- The speaker chooses to configure later.
Creating a Workspace (and Why It Initially Fails)
- After launching, you create/select a workspace folder for your project.
- A greeting/chat attempt can fail if there’s no API key configured yet.
Configuring Models via “Providers”
- In Harness settings → Models, add an external provider API key.
- The speaker demonstrates using NVIDIA (described as a free provider):
- Create an account and generate a key via build.nvidia.com.
- Notes on rate limiting:
- Example shown: roughly ~40 requests per minute (described as “infinite AI with a limiter within 1 minute”).
- Then:
- Paste the NVIDIA API key into Harness.
- Select a model (example: DeepSeek V3 Flash).
- Confirm the chat works.
Harness UI Features Mentioned
Workflow Controls
- Chat sidebar and common actions:
- Attach files
- Compact mode
- Feedback mode
- Go mode
Resource / Behavior Controls
- Visibility and controls for:
- AI/token usage
- duration/limits
- read-only vs. full access
- whether it asks permission
- Chat context limit handling
- Trajectory/history of actions (what happened, who did what, timing)
Project Organization
- A project sidebar similar to VS Code (files, terminal, etc.).
Usage Modes (Different Capabilities)
- Standard
- Broader capabilities like:
- editing files
- running shells
- web search
- scheduling
- skills
- subagents
- Broader capabilities like:
- Minimal
- More restricted—acts mainly as a tool.
- PTC
- Exposes an SDK so models can combine operations in TypeScript programs.
- Creator
- Intended for creating your own AI workflows/ways to use it.
Plugins: How the System Works
- Harness settings include pre-prompts (identification/styles for skills/plugins).
- A Plugins tab lists built-in plugin types such as:
- Shell
- Agent
- Loop
- Sub Agent
- Web Search
- (and more)
- The speaker emphasizes modularity:
- skills and plugin components are configurable
- plugins can be added/edited
Tutorial: Installing the Plugin Marketplace + Extensions
Unlike VS Code, Harness requires enabling its plugin marketplace:
- Install PNPM:
npm i -g pnpm
- Install/use DSH
- described as letting you run Harness tooling without needing NPX each time.
- Install a marketplace package (example):
dsh plugin add profile-web-ads-market
- Restart Harness:
- A plugin marketplace UI appears (VS Code-like)
- browse/discover plugins, themes, install, restart, and enable/disable
Examples of Plugins/Themes Mentioned
- “Better sidebar” plugin theme/extension:
- improves sidebar capabilities (more controls, git-related options, more subagent-related tools)
- A theme/wallpaper integration example:
- changes UI appearance (Wallpaper Engine-like)
- can be deactivated by removing/turning off the installed plugin
Cloud Code Integration + Orchestration / Subagents
- The speaker highlights integration with Cloud Code for developers already using it.
- They show where to configure Cloud Code:
- session/installer/usage plan
- Jira integration
- They also emphasize orchestration of sub-agents:
- one model/plugin can call another
- forming multi-step agent chains
Practical Warning / Review-Style Analysis
- The speaker repeatedly warns that DeepSeek Harness is still in preview:
- plugin/version conflicts can break daily use
- different plugins may require different dependency versions
- Additional caution:
- plugins are open source and could be malicious
- install carefully
Speaker / Sources (Main)
Main Speaker
- “M.” (as credited at the end of the transcript)
Primary Referenced Sources
- DeepSeek Harness official project page
- npx / Node.js tooling
- build.nvidia.com (NVIDIA free AI infrastructure + API keys)
- The Harness plugin marketplace (VS Code-like extensions UI)
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