Best Code assistant AI Tools

## Zed: The Future of Collaborative Coding Zed is a cutting-edge code editor built for speed, intelligence, and seamless collaboration. Developed by the creators of Atom and Tree-sitter, Zed is designed to meet the needs of today's developers, offering a powerful and intuitive platform for individuals and teams. ## Performance Redefined Zed is engineered from the ground up using Rust, a language known for its performance and efficiency. This allows Zed to leverage the full potential of modern hardware, including multiple CPU cores and GPUs, resulting in a blazing-fast editing experience. Whether you're working on small scripts or large projects, Zed ensures a smooth and responsive workflow. ## AI-Powered Coding Zed seamlessly integrates with state-of-the-art Large Language Models (LLMs) to supercharge your coding. Generate code, transform existing code, and analyze code with the assistance of powerful AI. Zed's AI capabilities are designed to enhance your productivity and streamline your development process. ## Collaborative by Design Collaboration is at the heart of Zed. Built-in features allow you to chat with teammates, co-edit notes in real-time, and share your screen and project effortlessly. Zed breaks down barriers and fosters a truly collaborative coding environment. ## Feature-Rich and Powerful Zed comes packed with an array of powerful features designed to enhance your coding experience: ### Multibuffer Editing Work with multiple code excerpts from across your codebase in a single, unified view. This allows for efficient code review, refactoring, and editing across multiple files. ### Interactive Programming Evaluate code inline using Jupyter runtimes and collaborate on notebooks in real-time. Zed's interactive programming features make it ideal for data science, scientific computing, and other data-driven workflows. ### Multi-Language Support Zed supports a wide range of programming languages through its integration with Tree-sitter, WebAssembly, and the Language Server Protocol. This ensures accurate syntax highlighting, code completion, and other language-specific features. ## Open Source and Community-Driven Zed is an open-source project, built and maintained by a vibrant community of developers. This ensures transparency, fosters innovation, and provides access to a wealth of extensions and contributions. ## A Growing Ecosystem Zed boasts a rapidly growing ecosystem of extensions that enhance its functionality and tailor it to specific needs. From language support to themes and integrations, Zed's extensions provide endless possibilities for customization. ## Crafted with Care Every aspect of Zed is designed with meticulous attention to detail. From its intuitive user interface to its powerful features, Zed reflects a commitment to quality and user experience. ## The Future of Coding Zed represents a new era of coding, where performance, intelligence, and collaboration converge. Whether you're a seasoned developer or just starting out, Zed provides the tools and features you need to succeed. Download Zed today and experience the future of coding.

## Devv AI: The Next-Gen AI Search Engine for Developers Devv AI is an advanced AI-powered search engine specifically designed to meet the needs of developers. This innovative tool aims to streamline the coding process by providing quick and efficient solutions to programming problems. ## Key Features ### Search Modes Devv AI offers multiple search modes to cater to different developer needs: * **Chat Mode:** This mode enables developers to interact directly with the AI, facilitating tasks like code refactoring, brainstorming, and document writing. * **Web Mode:** Devv AI scours the web to deliver precise and current answers directly in the search results, ensuring developers have access to the most up-to-date information. * **GitHub Mode (Beta):** This feature allows for seamless interaction with a developer's repositories, providing contextual search and assistance within their projects. ### Advanced AI Models Devv AI leverages cutting-edge AI models, including GPT-4o, to deliver superior search results and code assistance. These powerful models enable Devv AI to understand complex programming concepts and provide accurate solutions. ## Target Audience Devv AI is an invaluable tool for developers of all levels, from beginners seeking guidance to experienced programmers looking to enhance their productivity. Its intuitive interface and powerful features make it an essential asset for any developer's toolkit. ## Summary Devv AI is revolutionizing the way developers search for information and solve coding challenges. Its AI-powered search modes, advanced features, and user-friendly interface make it the go-to solution for developers seeking to optimize their workflow and stay ahead in the ever-evolving world of programming.

Llama 3.1 is an open-source AI model developed by Meta, designed for fine-tuning, distillation, and deployment across various applications. This latest instruction-tuned model is available in 8B, 70B, and 405B versions, catering to a wide range of user needs and technical capabilities. ## Llama 3.1 Models Llama 3.1 offers a suite of models with varying strengths: ### 405B This flagship foundation model is the most powerful, driving the widest range of use cases. It excels in complex tasks like tool use, multi-lingual agents, complex reasoning, and coding assistance. Examples include analyzing uploaded datasets, translating languages, solving reasoning problems, and generating code for maze creation. ### 70B This model balances performance and cost-effectiveness, making it suitable for diverse use cases. It offers a compelling option for users who need high performance without the resource demands of the 405B model. ### 8B This lightweight and ultra-fast model prioritizes efficiency and portability. Its small size allows it to run effectively on a variety of devices, making it ideal for users with limited computational resources or those needing quick responses. ## Key Capabilities Llama 3.1 empowers users to build advanced AI applications. Key capabilities include: * **Tool Use:** Llama 3.1 can interact with external tools and datasets. For instance, it can analyze uploaded data, generate graphs, and fetch market data upon request. * **Multi-lingual Agents:** The model exhibits proficiency in multiple languages. It can translate text, converse in different languages, and perform language-based tasks effectively. * **Complex Reasoning:** Llama 3.1 demonstrates advanced reasoning abilities. It can solve complex problems, understand context, and provide insightful answers to intricate queries. * **Coding Assistants:** The model can assist with coding tasks. It can generate code in various programming languages, debug existing code, and provide code suggestions. ## Make Llama Your Own Llama's open ecosystem allows for customization and integration with various services: ### Inference Users can choose between real-time and batch inference services. Downloadable model weights provide further cost optimization per token, giving users flexibility in managing their resources and budgets. ### Fine-tune, Distill & Deploy Llama 3.1 allows for model adaptation, improvement with synthetic data, and deployment options ranging from on-premise to cloud environments. This flexibility ensures Llama can be tailored to specific applications and integrated into existing workflows. ### RAG & Tool Use Leveraging Llama's system components, users can extend the model's capabilities through zero-shot tool use and Retrieval Augmented Generation (RAG). This enables the creation of agentic behaviors, allowing Llama to interact with and retrieve information from external sources, thereby enhancing its knowledge base and problem-solving abilities. ### Synthetic Data Generation The 405B model's ability to generate high-quality synthetic data allows for the improvement of specialized models. This is particularly beneficial for niche use cases where real-world data might be scarce. By generating synthetic data, users can train and refine their models for specific tasks, improving their accuracy and performance. ## Model Pricing Llama 3.1 offers a range of pricing options through various partners, including AWS, Azure, Databricks, and more. Pricing varies based on model size, usage (input/output tokens), and the chosen platform. This makes Llama accessible to a wide range of users, from individuals to large organizations, by providing flexible pricing structures that align with their specific needs and budget constraints.