Since my last video on Trey AI, the platform has received a significant number of updates and upgrades, making it one of the best free Agentic code editors available. Trey AI has evolved into a serious coding companion, offering advanced agent workflows, real-time file editing, and seamless integrations.

The best part? Trey AI provides access to state-of-the-art models like Gemini 2.5 Pro and Cloud 3.7 Sonnet, completely free of charge. However, it's important to note that Trey AI uses your data for training purposes, which may be a concern if you're working with proprietary or sensitive information. If you're using Trey AI for personal projects or learning, this is likely not an issue.

Trey AI's agentic capabilities within the IDE allow for autonomous file editing, deletion, and terminal-based command execution. You can even configure and customize your own AI agents, and the platform offers more context and accuracy, enabling you to make changes across your entire codebase.

The latest updates include a VS Code and JetBrains plugin, agent rules and tools, and MCP (Model Context Protocol) integration. MCP allows the AI agent to securely connect with external tools and data sources, enhancing its functionality and contextual understanding.

One of the standout features of Trey AI is the ability to generate code using state-of-the-art models like Gemini 2.5 Pro. Simply request a task, and the Trey agent will autonomously execute it, providing you with a fully generated solution.

Additionally, the platform offers features like agent builders, MCP integration, browser automation, and web scraping capabilities. You can even create a full-stack task management application with just a few prompts, showcasing the power of Trey AI's AI-driven development capabilities.

Overall, Trey AI 2.0 is a game-changer, providing free access to advanced AI models and tools that can significantly enhance your software development workflow. If you're looking to prototype or work on personal projects, Trey AI is definitely worth exploring.

Trae AI has taken a significant step forward by introducing its own plugins for popular IDEs like VS Code and JetBrains. This integration allows developers to seamlessly leverage Trae AI's powerful capabilities directly within their preferred coding environments.

With the Trae AI plugins, you can now access the full suite of Trae AI features, including advanced agent workflows, real-time file editing, and seamless integrations, all from within your familiar IDE. This integration streamlines your development process, enabling you to harness the power of Trae AI without having to switch between different applications.

The Trae AI plugins for VS Code and JetBrains provide a seamless user experience, allowing you to interact with the Trae AI agent, access its various models, and execute tasks directly from your IDE. This level of integration ensures that you can maintain your productivity and workflow, while benefiting from the advanced capabilities that Trae AI offers.

One of the key advantages of this integration is the ability to customize and configure your own AI agents within the IDE. You can define the specific tools and functionalities that your agents should possess, tailoring them to your project's needs. This level of customization empowers you to optimize your development process and enhance your collaboration with the AI system.

Furthermore, the Trae AI plugins offer enhanced context and accuracy, enabling the AI agent to better understand and navigate your codebase. By tagging different files and sections, the agent can make more informed decisions and execute tasks with greater precision, ultimately improving the overall quality and efficiency of your software development.

In summary, the integration of Trae AI with VS Code and JetBrains represents a significant advancement in the realm of AI-powered development tools. By seamlessly integrating these powerful capabilities into your preferred IDE, Trae AI empowers you to work more efficiently, prototype faster, and unlock new levels of productivity in your software development endeavors.

One of the standout features of Trae AI is the ability to customize your own AI agents. This allows you to tailor the capabilities of your AI assistant to your specific needs, unlocking a new level of productivity and efficiency in your coding workflow.

With the agent builder, you can create and configure your own AI agents, equipping them with the tools and functionalities you require. Whether it's automating repetitive tasks, providing contextual code suggestions, or integrating with external services, the agent builder empowers you to build a truly personalized coding companion.

The integration of Model Context Protocols (MCPs) is a game-changer in this regard. MCPs enable your AI agents to securely connect with various external tools and data sources, such as web scraping, email integration, and more. By adding these MCPs, you can dramatically expand the capabilities of your agents, allowing them to assist you in a wide range of development-related tasks.

For example, you can set up a Puppeteer MCP to enable your agent to automate browser-based actions, such as scraping website content or performing web automation. This can be particularly useful for tasks like gathering data, testing web applications, or even generating content based on the information collected.

The flexibility of the agent builder allows you to fine-tune your agents' behavior, ensuring they align with your coding style and preferences. You can define custom rules, adjust their language models, and even create specialized agents for specific projects or tasks.

By harnessing the power of customizable AI agents, you can unlock new levels of productivity, streamline your development workflows, and unleash your coding superpowers. Trae AI empowers you to build a personalized coding assistant that truly understands your needs and helps you achieve your goals more efficiently.

Trey AI's integration with the Model Context Protocol (MCP) is a game-changer, allowing you to seamlessly connect your AI agents with a wide range of external tools and data sources. This powerful feature enhances the functionality and contextual understanding of your AI agents, enabling them to perform more complex and versatile tasks.

The MCP integration in Trey AI is accessible through the "Builder with MCP" section, where you can easily add various MCP servers to your agent's capabilities. For example, by integrating the Puppeteer MCP, your agent can now perform web scraping and browser automation tasks, expanding its abilities beyond just code generation and editing.

To leverage the MCP integration, simply navigate to the "Builder with MCP" section, click "Go to Add," and select the desired MCP server. Trey AI will then handle the initialization process, ensuring your agent is ready to utilize the new capabilities.

With the MCP integration, your AI agents can now interact with external tools and data sources, such as Gmail, Trello, or even custom APIs. This integration opens up a world of possibilities, allowing your agents to gather relevant information, automate workflows, and provide more contextual and informed responses.

By empowering your AI agents with MCP integration, you can streamline your development process, automate repetitive tasks, and unlock new levels of productivity and efficiency. Embrace the power of Trey AI's MCP integration and watch your AI-powered workflows soar to new heights.

Trae AI's powerful integration with the Puppeteer MCP (Model Context Protocol) enables seamless web scraping capabilities. With just a few simple steps, you can leverage the AI agent to autonomously extract data from any website.

To demonstrate this feature, let's scrape the content from the Trae AI website:

1. Within the Trae AI IDE, click on the "Builder with MCP" option to access the MCP integration tools.
2. Click "Go to add" and select the "Puppeteer" MCP, which provides browser automation and web scraping functionality.
3. Confirm the addition of the Puppeteer MCP, and the AI agent will initialize it automatically.
4. Now, in the main Trae AI chat, select the "Builder with MCP" option and ask the agent to "Scrape the Trae AI website and provide the content in Markdown format."
5. The AI agent will use the Gemini 2.5 Pro model to analyze the website, leverage the Puppeteer MCP to scrape the content, and then format the output in Markdown.
6. When prompted, provide a directory to save the scraped content, and the agent will generate a Markdown file with the website's data.

The resulting Markdown file will contain the complete content of the Trae AI website, ready for further analysis or integration into your projects. This seamless web scraping capability empowers you to quickly gather data from any online source, streamlining your development workflow.

With Trey AI, you can quickly and effortlessly generate a full-stack task management application. In this example, you can see how the AI agent can handle the entire development process, from creating the front-end to implementing the functional capabilities of adding new tasks and assigning priorities.

The process is seamless - you can review and accept the changes all at once or individually, ensuring you have full control over the final product. Trey AI's features like autocomplete and the ability to edit the code directly within the chat make the development experience even more streamlined.

Furthermore, the generated application looks visually appealing, with a clean and modern design for the login page and the task management interface. The functionality is also robust, allowing you to add new tasks and prioritize them as needed.

The best part? You can access all of these capabilities for free, leveraging state-of-the-art models like Gemini 2.5 Pro to bring your ideas to life quickly and efficiently. Trey AI truly empowers you to prototype and develop your personal projects with ease, making it a valuable tool in your AI-powered development arsenal.

Trey AI is a powerful and versatile AI-powered IDE that has evolved significantly since its initial release. With its advanced agent workflows, real-time file editing, and seamless integrations, it has become a serious coding companion for developers. The best part is that it's completely free, providing access to state-of-the-art models like Gemini 2.5 Pro and Cloud 3.7 Sonnet.

While the use of user data for training purposes may be a concern for some, Trey AI is an excellent choice for personal projects or learning purposes. The platform's agentic capabilities, including autonomous file editing, terminal-based commands, and customizable AI agents, make it a highly efficient tool for software development.

The recent updates to Trey AI, such as the VS Code and JetBrains plugins, the agent rules and tools, and the MCP integration, further enhance its capabilities and make it an even more compelling option for developers. The ability to generate code, scrape websites, and create full-stack applications with ease is a testament to the power of Trey AI.

Overall, Trey AI is a game-changer in the world of AI-assisted software development, and it's definitely worth exploring for anyone looking to streamline their coding workflow and access cutting-edge AI models at no cost.