Balckbox AI

How to Get Started with BLACKBOX AI

1. Open VS Code.
2. Go to the Extensions section.
3. Search for BLACKBOX AI and click Install.
4. Click the BLACKBOX AI Agent icon after installation.
5. Connect your BLACKBOX AI account.
6. Open an existing project or create a new one.
7. Give the agent a coding instruction, such as: “Create a simple landing page using HTML and CSS.”
8. Review the generated changes and continue with follow-up instructions.

Features of BLACKBOX AI

• Generates code from natural-language instructions.
• Creates new projects and project structures.
• Finds and fixes coding errors.
• Reviews and improves existing code.
• Generates unit tests and test cases.
• Provides code completion while you type.

BLACKBOX AI Hands-on Testing

Step 1: Explored the Platform section

I opened the BLACKBOX AI website and explored the Platform section to understand the available development and deployment options. I reviewed the model catalog, model comparison, BLACKBOX Router, dedicated deployment, security overview, zero-data-retention options, and Microsoft Azure deployment.

Step 2: Checked the available products

I opened the Products section to explore the tools available on BLACKBOX AI. I found options such as BLACKBOX Router, Agents API, and Command Line. The Agents API allows coding agents to work with repositories, while Command Line provides an agentic terminal for working with a repository.

Step 3: Reviewed how deployment works

I checked the "How It Works" section to understand how BLACKBOX AI handles requests. The platform explains that a dedicated deployment is created, requests remain within the selected deployment, and generated tokens are streamed back with encryption.

Step 4: Checked the performance information

I then reviewed the performance section to see the platform's reported model speed and response metrics. The page displays a benchmark of 454 tokens per second and a reported 6.1-second time to the first answer token.

Short testing summary

During my hands-on review, I explored BLACKBOX AI's platform, product options, deployment process, security features, and performance information. This helped me understand how its coding tools and model infrastructure are structured before testing its actual coding workflow.