Close

Explore AI

Explore GPTs

Explore AI News

Explore AI Videos

Explore AI for Jobs

Latest Apex AI Videos

Find the latest for Apex company videos

Follow
... 24:26
Claude MCP has Changed AI Forever - Here's What You NEED to Know

Cole Medin

1+ months ago 13K views

mCP, developed by Anthropic, standardizes how tools are provided to AI agents, providing unprecedented ease for developers. This protocol enables the integration of diverse services into AI applications, enhancing productivity significantly. mCP's persistent significance distinguishes it from fleeting AI trends, providing real value over time, and facilitating better-designed AI agents. The speaker emphasizes the importance of adopting mCP to harness its capabilities effectively while illustrating its practical application in real-time projects with examples and a walkthrough of integration with common tools and platforms, including Python and n8n workflows.
05:37 - 05:55

mCP servers standardize AI tool integration, improving compatibility across frameworks.

Natural Language Processing (NLP) AI Trends
... 14:20
Claude MCP Workflow: Proof That AI AGENTS Will Change Work Forever?

All About AI

1+ months ago 8K views

Model Context Protocol (mCP) effectively connects diverse tools like email, Stripe, and Supabase to streamline workflows in applications using Cloud Code. The integration allows users to execute tasks such as processing payments and managing customer outreach efficiently. With a focus on practical examples, the setup of servers and connection of tools through mCP demonstrates how powerful these AI applications can be for enhancing productivity, providing real-life use cases that showcase its capabilities in everyday scenarios. The potential for further expansion and better integration of AI tools highlights the significant impact of mCP in workflow automation.
04:40 - 05:40

Recording payments in the database using Supabase through Cloud Code.

Nvidia Machine Learning Research & Innovations
... 22:56
OpenAI - NEW API & Agent Tools Breakdown

Sam Witteveen

1+ months ago 3K views

OpenAI recently announced new APIs aimed at developers, enhancing its offerings beyond merely consumer and enterprise applications. Key among these are the Responses API, which streamlines interactions for various tasks, new built-in tools for improved functionality, and an observability tool for monitoring API calls. The advancements include web search, file search, and computer use capabilities, each presenting opportunities for developers to create more integrated AI solutions. Overall, these developments significantly broaden the capabilities available to developers utilizing OpenAI's platform, marking a major step forward in the evolution of AI tools.
02:30 - 02:44

New Responses API accommodates varied input types like images and file searches.

OpenAI AI cloud services Tech & Hardware
... 19:18
Cursor + MCP: Connect AI to Anything!

Creator Magic

1+ months ago 3K views

MCP connects AI coding assistants with various tools like databases and GitHub, enhancing their adaptability. Unlike traditional APIs, which require specific tools and can lead to errors if unavailable, MCP allows AI to function like a human, adapting to available resources. The video showcases building a PostgreSQL database server and integrating with GitHub, demonstrating how to create a repository using MCP. It also highlights browser tools that allow the AI to debug and fix errors automatically, ultimately showcasing the creation of an MCP server that triggers actions via Zapier webhooks seamlessly.
04:56 - 05:14

MCP modifies queries dynamically, enabling better adaptability.

Zapier Internet of Things (IoT) Tech & Hardware
... 10:44
Augment Code: FREE AI Software Engineer Can Automate Your Code! (Cursor Alternative)

WorldofAI

1+ months ago 7K views

Augment Code is an AI-powered coding assistant tailored for software engineers working with large codebases. It provides full contextual awareness, helping users understand code, debug issues, and streamline the shipping process. Unique features include a Slack integration for team questions, instant chat capabilities, real-time code suggestions, and a partially free model allowing 3,000 messages per month. The tool excels in comprehending complex systems, automating code updates, and ensuring security compliance, thus boosting productivity significantly in software engineering tasks.
01:25 - 01:31

Integrates with Slack, providing a coding assistant that remains active offline.

Augment Code Machine Learning Tech & Hardware
... 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
... 23:28
Is This AI Coding Assistant Better Than Cursor?

Conner Ardman

1+ months ago 2K views

This presentation evaluates augment, a new AI coding assistant designed for professional software engineers working with large codebases. The demonstration highlights augment's ability to synchronize with existing projects, provide code summaries, and assist in code modifications effectively. Noteworthy features include its handling of game state management in a Tetris game and a unique 'next edit' functionality that prompts users on subsequent changes needed after an edit. The speaker tests augment against an unfamiliar open-source repository to assess its capabilities, drawing attention to various useful features and the AI's adaptability to different environments.
03:12 - 03:19

Augment explains Tetris game's state management effectively.

Augment Machine Learning Education
... 41:34
Agent Experience: Building an Open Web for the AI Era

a16z

1+ months ago 2K views

One of the core themes is the evolution of the developer experience (DX) and the importance of optimizing agent experience (AX) as AI begins to play a crucial role in web development. AI is anticipated to accelerate the pace of code and content creation, leading to more efficient web development processes. This shift will demand a reconsideration of how tools and platforms are designed, focusing on enabling both human developers and AI agents to collaborate effectively. The ultimate goal is to create a more open and dynamic web that fosters creative experiences and innovation.
09:06 - 09:45

Defining agent experience (AX) is essential for optimizing AI's role in web development.

Netlify Machine Learning Tech & Hardware
... 41:34
Agent Experience: Building an Open Web for the AI Era

a16z

1+ months ago 2K views

One of the core themes is the evolution of the developer experience (DX) and the importance of optimizing agent experience (AX) as AI begins to play a crucial role in web development. AI is anticipated to accelerate the pace of code and content creation, leading to more efficient web development processes. This shift will demand a reconsideration of how tools and platforms are designed, focusing on enabling both human developers and AI agents to collaborate effectively. The ultimate goal is to create a more open and dynamic web that fosters creative experiences and innovation.
09:06 - 09:45

Defining agent experience (AX) is essential for optimizing AI's role in web development.

Netlify Machine Learning Tech & Hardware