8 Insane OpenCode Use Cases! (build anything)

Open Code AI Agent: Eight Insane Use Cases - Detailed Summary

Key Concepts:

• Open Code: An open-source AI agent operating within a terminal, capable of executing tasks on a user’s machine and compatible with various AI models.
• MCP (Multi-Chrome Protocol): A server enabling Open Code to control a web browser for automated web tasks.
• AE Optimization (Answer Engine Optimization): Optimizing content for AI-driven search and discovery, anticipating a future dominated by AI agents browsing the web.
• Agent Zero: A more comprehensive AI agent, offering similar capabilities to Open Code with enhanced privacy and broader functionality.
• Vite: A build tool used by Open Code to create a fast and efficient web application for the pitch deck example.
• Web Fetch: A method used by Open Code to retrieve data from the internet.
• YAML/JSON: Data serialization formats used for configuration and data exchange.

1. Introduction & Setup

The video introduces Open Code, an open-source AI agent designed to operate directly within a user’s terminal. It emphasizes Open Code’s power and versatility, capable of performing a wide range of tasks from lead generation to data analysis. A crucial disclaimer is issued: users must employ Open Code ethically due to its ability to execute any requested action.

Installation is initiated via a terminal command (open code), which installs or updates the agent. Authentication requires logging in via a provider (recommended: OpenAI with a ChatGPT Plus/Pro subscription) through a unique link provided during the login process (open code login). Successful login allows access to Open Code by simply typing open code in any terminal. Customization of the terminal’s color scheme is possible using the /themes command.

2. Enabling Browser Control with MCP Server

To significantly enhance Open Code’s capabilities, the video demonstrates setting up an MCP (Multi-Chrome Protocol) server. This allows Open Code to control a web browser, enabling tasks like web scraping and automated form filling.

The process involves:

1. Navigating to the root directory in the terminal (cd /).
2. Launching Open Code and instructing it to create/edit a configuration file (/openode/openode.json) with a specific JSON schema.
3. Pasting the provided JSON schema into Open Code.
4. Open Code automatically creates the file if it doesn’t exist, or edits it if it does.
5. Launching Open Code again in a new terminal window results in a connection to the Chrome DevTools via the MCP server (Chrome DevTools connected).

3. Use Case 1: High-Quality Lead Generation

The first demonstrated use case is finding high-quality leads for a business offering AI automation services to local businesses in Warsaw, Poland.

• Prompt: “I need you to find high-quality leads for my business of implementing AI automation for local businesses. Personally, I live in Warsaw, Poland. So, I need you to find businesses that would be ideal for this and find their contact info online and save them into a clear markdown file. Get to work. Answer in short.”
• Process: Open Code autonomously researches potential businesses, utilizing the MCP server to browse the web. It creates a to-do list (research, web fetch) and executes tasks.
• Result: Within 90 seconds, Open Code generated a markdown file containing 33 leads, including business names, addresses, and websites.

4. Use Case 2: File & Folder Organization

This use case focuses on cleaning up a cluttered downloads folder.

• Task: Identify and delete the 20 oldest and 20 largest files in the downloads folder.
• Process: Open Code analyzes the downloads folder (2,400 items, 20GB), lists the oldest and largest files, and then deletes them upon request.
• Result: Open Code freed up approximately 15GB of storage space, reducing the downloads folder size from 20GB to 4.3GB.

5. Use Case 3: Data Analysis & Visualization

Open Code is used to analyze a markdown file containing over 250 AI startup ideas.

• Prompt: “Read the startup ideas and analyze all of the startup ideas inside organize them into different categories and create a visual obsidian style graph that groups them into clusters and output that graph as a PNG file.”
• Process: Open Code writes a 400-line Python script to categorize the ideas, installs necessary dependencies (matplotlib), and generates a visual graph.
• Result: A PNG file visualizing the startup ideas categorized into 21 clusters (e.g., AI Infrastructure, HR Recruiting, Productivity Tools) was created in under 2 minutes.

6. Use Case 4: Custom Deep Research

Open Code performs in-depth research on a specific topic.

• Prompt: “Execute deep research on the topic how to reduce no show rates for sales calls. Use YouTube as the primary source.”
• Process: Open Code uses the MCP server to browse YouTube, identify relevant videos, extract transcripts using the YouTube Transcript API, and compile a research report.
• Result: A 300-line report summarizing findings from 13 YouTube videos was generated in 5 minutes.

7. Use Case 5: Computer Performance Troubleshooting

Open Code diagnoses performance issues on a MacBook.

• Prompt: “Find out why my computer has been running slower recently. Check load averages, memory pressure, disk space, stack processes, and swap activity. Basically, analyze my entire computer and figure out why it's running slower and then give me a report. Do not make any changes yet.”
• Process: Open Code analyzes system metrics and identifies potential causes of slowdown.
• Result: A report identifying high load average, long system uptime, and resource-intensive applications (Brave browser, Docker/Agent Zero, OBS) was generated.

8. Use Case 6: Automated Article Writing & Website Deployment

Open Code creates a complete article and deploys it to a simple website.

• Prompt: A detailed prompt instructing Open Code to research AI code review tools, optimize the article for AI agent traffic, write the article, build a website, and improve the design.
• Process: Open Code researches the topic, writes a 354-line article, builds a website using Vite, and deploys it.
• Result: A fully functional website with a well-structured article on AI code review tools was created in approximately 10 minutes.

9. Use Case 7: Autonomous Documentation

Open Code automatically generates documentation for a codebase.

• Prompt: “Analyze this codebase and identify all areas where documentation is missing, outdated or incomplete. For each gap you find, list the file function that needs docs, explain what the code does, write the documentation for it. Then create or update the readme.md and any relevant doc files. If the /docs folder doesn't exist, create one with proper structure. Start by exploring the codebase structure first. Do not change any code. Just create new documentation.”
• Process: Open Code analyzes the codebase, identifies documentation gaps, and generates documentation.
• Result: New documentation files were created and existing files were updated in under 8 minutes. The changes were committed and pushed to a Git repository.

10. Use Case 8: Interactive Pitch Deck Creation

Open Code generates a complete pitch deck for a startup idea.

• Prompt: A detailed prompt describing the startup idea (a mobile app for streamlined video publishing) and instructing Open Code to create an interactive investor pitch deck.
• Process: Open Code researches the market, writes the pitch deck content, and builds a website using Vite.
• Result: A fully functional website with a comprehensive pitch deck, including sections on the problem, solution, market, team, and ask, was created in approximately 7 minutes.

Conclusion:

The video demonstrates the remarkable capabilities of Open Code as a powerful AI agent. It highlights the potential for significant productivity gains and automation across a wide range of tasks. The speaker emphasizes that while the technology is impressive, realizing its benefits requires proactive implementation and a willingness to overcome the initial learning curve. The future, according to the video, belongs to those who leverage AI agents like Open Code to enhance their capabilities and stay ahead of the competition. The speaker encourages viewers to experiment with Open Code and explore its potential to transform their workflows.