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... 11:18
I used AI to write tests for my .NET application... Here's what happened

Milan Jovanović

1+ months ago 3K views

This video demonstrates how to utilize AI, specifically Cursor, to generate unit tests, integration tests, and functional tests for a .NET application. The presenter showcases a project called 'Run Tracker' based on clean architecture, outlining its endpoints and use cases. The video emphasizes the importance of having a well-structured test project to maximize AI capabilities in test case generation while also detailing how the Cursor IDE enables efficient integration with language models. By running existing test cases, the presenter confirms their functionality before leveraging AI for further test generation.
06:16 - 06:46

AI occasionally makes mistakes, requiring manual prompting for corrections.

Machine Learning Education
... 21:49
Cursor vs. GitHub Copilot: AI Coding Showdown!

DevOps Toolkit

1+ months ago 2K views

AI tools like GitHub Copilot and Cursor significantly aid coding tasks, with Cursor emerging as a faster, more comprehensive alternative. The comparison highlights Cursor's ability to reference the entire codebase, offering more detailed responses and insights during coding tasks compared to GitHub Copilot, which focuses only on the currently open file. While both tools assist in writing, fixing bugs, and suggesting code improvements, Cursor's overall performance and context awareness yield better results. Ultimately, the analysis concludes that Cursor is a superior choice in the AI coding assistant landscape.
03:26 - 05:30

Cursor demonstrates superior speed and detail in responses compared to GitHub Copilot.

GitHub Machine Learning Tech & Hardware
... 35:50
MCP Tutorial: Connect AI Agents to Anything!

Leon van Zyl

1+ months ago 3K views

Custom tools can be added to AI agents using the Model Context Protocol (MCP), a standardized protocol for building tools with Python or JavaScript. By facilitating connections between AI models and various data sources, MCP enhances the functional capabilities of AI agents. The tutorial illustrates creating a to-do list tool capable of adding, retrieving, and removing tasks. It emphasizes that these tools can be integrated into various software platforms, including Claude Desktop and Cursor, allowing seamless interaction and data retrieval. The session provides practical steps for building an MCP server that integrates SQLite for task management.
03:14 - 03:43

Setting up the MCP server, detailing required tools and packages.

Machine Learning Education
... 16:52
Write Your Unit Tests with Cursor AI

MFK in Tech

1+ months ago 1K views

Cursor AI enhances software development by providing advanced code assistance through features like natural language prompts, code refactoring, and unit testing. It incorporates a Model Context Protocol (MCP) to connect with various tools like GitHub and JIRA, facilitating seamless project integration. The AI editor understands the project's codebase, generates documentation, and manages coding standards through custom rules. The video showcases practical applications, such as creating unit tests in Go, emphasizing ease of use and efficiency gains for developers.
03:51 - 03:54

Model Context Protocol (MCP) integrates with tools like GitHub and JIRA.

Cursor Machine Learning Education
... 27:5
Cursor AI Tutorial for Beginners [2025 Edition]

Volo

1+ months ago 3K views

Cursor is a code editing tool that leverages AI to enhance coding efficiency for both beginners and experienced developers. It operates as a desktop application, unlike browser-based tools, providing extensive features like a new AI-driven workflow, built-in terminal, and chat functionalities for code assistance. The latest updates include AI integration to streamline coding processes, enabling users to run commands, generate code snippets, and troubleshoot issues seamlessly within their project environment. Extensive context management capabilities allow the AI to provide tailored solutions based on the project's requirements.
03:24 - 03:45

AI chat feature integrates AI capabilities directly into the code editing workflow.

Machine Learning Education
... 10:35
AI Coding Assistant Showdown: Augment Code vs Cursor AI (Which is Better?)

Internet Made Coder

1+ months ago 3K views

Cursor AI and Augment Code are two prominent coding assistants, each with unique strengths. Cursor AI is a separate code editor that allows integration of various settings from other editors but poses challenges with larger code bases. Augment Code, an extension for existing editors like VS Code, provides a more seamless experience, particularly for large projects. The speaker discusses installation processes, pricing, and user experiences, concluding that while both tools are effective, Augment Code is preferable for larger projects due to better contextual understanding and real-time indexing capabilities.
02:24 - 02:44

Discussion of free vs. paid plans: Cursor's limits vs. Augment's more generous offerings.

Augment Code Machine Learning Tech & Hardware
... 8:4
I've tested the new Cursor 0.46 AI Coding Agent update and it's amazing [Full walkthrough]

The Metaverse Guy

1+ months ago 1K views

Cursor's recent updates feature significant enhancements, notably making 'cursor agent' the default mode, improving its awareness of project context and integrating the CLA Sonet 3.7, which excels in coding tasks. Users can now perform web searches automatically through the agent without explicit commands, and new features like 'cursor ignore file' restrict files from being indexed. The updated cursor agent demonstrates improved error handling and minimizes coding mistakes, giving users refined control over coding tasks while enhancing overall functionality with tools for better project management and AI integration.
01:15 - 01:26

Agent performs web searches automatically without needing explicit commands.

Cursor Machine Learning Education
... 1:2:17
Cursor: An AI Engineer’s Guide to Vibe Coding and Beyond

AI Makerspace

1+ months ago 1K views

Cursor is revolutionizing AI-assisted coding by providing an intuitive code editor built to enhance productivity. The platform allows developers to use advanced tools such as code completion and live editing, simplifying the coding process. By effectively utilizing AI models, users can automate tasks, streamline debugging, and enhance the collaborative development environment. The session emphasizes the significance of using containerized environments, maintaining coding fundamentals, and implementing best practices in AI development, ultimately advocating for a shift toward Vibe coding that integrates seamlessly with traditional methodologies.
04:50 - 04:50

Cursor facilitates modern AI app development within collaborative coding environments.

Machine Learning Tech & Hardware
... 1:2:17
Cursor: An AI Engineer’s Guide to Vibe Coding and Beyond

AI Makerspace

1+ months ago 1K views

Cursor is revolutionizing AI-assisted coding by providing an intuitive code editor built to enhance productivity. The platform allows developers to use advanced tools such as code completion and live editing, simplifying the coding process. By effectively utilizing AI models, users can automate tasks, streamline debugging, and enhance the collaborative development environment. The session emphasizes the significance of using containerized environments, maintaining coding fundamentals, and implementing best practices in AI development, ultimately advocating for a shift toward Vibe coding that integrates seamlessly with traditional methodologies.
04:50 - 04:50

Cursor facilitates modern AI app development within collaborative coding environments.

Machine Learning Tech & Hardware