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Zed AI: Opensource AI Code Editor - FREE Claude 3.5 Sonnet + Ollama Support!

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Summary

The video introduces the new Cursor Composer update with AI integration, highlighting its $20 charge and comparison to VS Code. Z AI is presented as a free open-source AI code editor alternative, showcasing features like AI assistant panel, inline assistants, and prompt libraries. Detailed explanations of Z AI's features, including slash commands, fast edit mode, and customization options are provided, emphasizing its efficiency, collaboration with Anthropic, and transformation capabilities. Z AI's unique workflow command for multi-step transformations is highlighted, underlining its strengths in speed, AI integrations, and coding environment advancements. The video concludes with instructions on downloading Z AI for MacOS and Linux, showcasing its performance, GPU utilization, and FPS counter implementation for quick task completion and efficient handling of larger files.

Introduction to Cursor Composer Update

Introducing the new Cursor Composer update with AI integration, making it an ideal code editor. Comparison to VS Code and mention of the $20 charge for Cursor Composer.

Introduction to Z AI

Introducing Z AI, a free open-source AI code editor as an alternative to Cursor and VS Code. Description of Z AI's features, including AI assistant panel, inline assistants, and prompt libraries.

Z AI Assistant Panel

Detailed explanation of Z AI's assistant panel, its features, functionality, and transparency in interaction with AI models. Description of slash commands, file terminal, and tab integration.

Z AI Inline Assistance

Explanation of Z AI's inline assistance feature, enabling code editing using natural language with immediate feedback. Comparison to Control K feature in Cursor and VS Code.

Z AI Fast Edit Mode

Description of the fast edit mode feature in Z AI, collaboration with Anthropic for CLA 3.5 Sona model, generating text, and near-instant refactoring.

Z AI Customization and Integration

Features of Z AI customization, creation of custom slash commands, integration of proprietary information, and personalization of coding experience.

Z AI Workflow Command

Introduction to Z AI workflow command for multi-step transformations efficiently working with programming languages like Rust and Python.

Comparison between Z AI, Cursor, and VS Code

Comparison between Z AI, Cursor, and VS Code highlighting their strengths, speed, AI integrations, and advancements in the coding environment.

Getting Started with Z AI

Information on how to download Z AI, availability for MacOS and Linux, and updates on Twitter. Lack of live demo due to Windows OS.

Z AI Performance Demonstration

Demonstration of Z AI's performance, responsiveness, GPU utilization, and comparison with web-based applications. Details on GPI implementation for efficiency.

Z AI FPS Counter Implementation

Details on FPS counter implementation in Z AI, use of language models for quick task completion, and demonstration of fast transformation with inline assist feature.

Z AI Workflow for Large Files

Introduction to Z AI workflow for handling larger files with step-by-step guidance through prompts for model output. Mention of Z AI as a free and open-source alternative to Cursor and VS Code.

FAQ

Q: What are the key features of Z AI as described in the file?

A: Some key features of Z AI include an AI assistant panel, inline assistants, prompt libraries, slash commands, file terminal, tab integration, fast edit mode, and customization options such as creating custom slash commands and integrating proprietary information.

Q: How does Z AI's AI assistant panel function and what makes it transparent in its interaction with AI models?

A: Z AI's AI assistant panel provides functionality for interacting with AI models transparently by offering features such as immediate feedback, collaboration with Anthropic for CLA 3.5 Sona model, and near-instant refactoring.

Q: What is the purpose of the inline assistance feature in Z AI and how does it differ from the Control K feature in Cursor and VS Code?

A: The inline assistance feature in Z AI enables code editing using natural language with immediate feedback, which differs from the Control K feature in Cursor and VS Code by providing more interactive and contextual assistance.

Q: How does Z AI facilitate fast transformation and collaboration with Anthropic for the CLA 3.5 Sona model?

A: Z AI facilitates fast transformation through features like fast edit mode, generating text, and near-instant refactoring in collaboration with Anthropic for the CLA 3.5 Sona model.

Q: What customization options are available in Z AI to personalize the coding experience?

A: Z AI offers customization options such as creating custom slash commands, integrating proprietary information, and personalizing the coding experience to suit the user's preferences.

Q: How does the Z AI workflow command enhance efficiency in handling multi-step transformations with programming languages like Rust and Python?

A: The Z AI workflow command streamlines multi-step transformations with programming languages like Rust and Python by providing efficient guidance through prompts for model output.

Q: What are some strengths of Z AI highlighted in comparison to Cursor and VS Code in the file?

A: Some strengths of Z AI highlighted in comparison to Cursor and VS Code include its AI integrations, advancements in the coding environment, customization options, and fast transformation capabilities.

Q: What platforms is Z AI available for download on, and where can users find updates about it?

A: Z AI is available for download on MacOS and Linux platforms, and users can stay updated on Twitter regarding the latest developments and releases.

Q: How does Z AI utilize GPU for efficiency, and what is the significance of GPI implementation mentioned in the file?

A: Z AI utilizes GPU for efficiency to enhance performance and responsiveness, with the GPI implementation further improving efficiency in handling larger files and tasks.

Q: What is the purpose of the FPS counter implementation in Z AI, and how does it leverage language models for quick task completion?

A: The FPS counter implementation in Z AI helps monitor performance metrics, and by leveraging language models, it enables quick task completion and efficient coding.

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