StableCode AI technology page Top Builders
Explore the top contributors showcasing the highest number of StableCode AI technology page app submissions within our community.
StableCode-Instruct-Alpha-3B is a decoder-only model with 3 billion parameters. Pre-trained on top programming languages from the StackOverflow developer survey, it's a product by Stability AI intended for coding.
|Relese date||August 8, 2023|
StableCode: Features & Highlights
- Trained on a diverse set of languages from the stack-dataset (v1.2) by BigCode, including Python, Go, Java, and more.
- Fine-tuned with ~120,000 code instruction/response pairs for specific use cases.
- Extended context window for precise autocomplete suggestions. It can handle 2-4X more code than earlier models.
- Designed to assist both seasoned and novice developers.
A curated list of libraries and technologies to help you build great projects with StableCode.
- StableCode-Instruct-Alpha-3B Documantation
- StableCode-Completion-Alpha-3B-4K Documantation
- Model Usage
- Model Architecture
- Use and Limitations
StableCode AI technology page Hackathon projects
Discover innovative solutions crafted with StableCode AI technology page, developed by our community members during our engaging hackathons.
"StableReverse" is an app that empowers users to explore, comprehend, and analyze Python code repositories hosted on GitHub. This innovative project simplifies the challenging task of reverse engineering code by offering a comprehensive suite of features and an intuitive interface, making it accessible to a broad spectrum of users, from experienced developers to data scientists and curious learners. StableReverse leverage GPT3 for analyzing the repo filse system and StableCode for writing the code. Use Cases: Code Debugging: Developers can use "StableReverse" to understand and debug unfamiliar code segments, identifying issues and improving software quality. Algorithm Exploration: Data scientists and researchers can explore complex algorithms and data processing techniques implemented in open-source projects. Learning Tool: Students and learners can gain insights into coding practices by studying and reverse engineering real-world code. Open-Source Contribution: Contributors to open-source projects can quickly grasp project structures and coding conventions. Code Auditing: Security experts can use "StableReverse" to identify potential vulnerabilities and security issues in codebases. Innovation Exploration: Innovators and entrepreneurs can explore existing codebases for inspiration and to understand emerging technologies.
Code Helper - StableCode
**Code Helper Application - StableCode** The **Code Helper** application, powered by **StableCode**, offers a comprehensive solution for developers seeking assistance with their coding tasks. It combines the capabilities of an advanced chatbot and a code completion engine to provide accurate and efficient responses to user inquiries. The application employs a **Flask** backend and a **Streamlit** frontend, offering a seamless and user-friendly experience. **Functionality:** Users of the Code Helper application can submit instructions or code completion queries through a user-friendly interface. These queries cover a wide range of programming-related questions, from seeking explanations about specific coding concepts to requesting code suggestions for a particular task. **Components:** 1. **StableCode AI Engine (stablecode-completion-alpha-3b-4k):** The heart of the application, this AI engine is responsible for processing and understanding user queries. It has been fine-tuned to cater specifically to coding-related questions, ensuring accurate and relevant responses. 2. **Flask Backend:** The backend of the application is built using Flask, a versatile and lightweight web framework. It handles incoming user requests, communicates with the StableCode AI Engine, and returns the generated responses to the frontend. 3. **Streamlit Frontend:** The frontend of the application is developed using Streamlit, a popular Python library for building interactive web applications. Streamlit's user-friendly interface makes it easy for users to input their queries and receive prompt answers from the chatbot.
Using StableCode-Completion model, we have built a LaTeX Copilot that can help scientists and engineers around the world write their LaTeX documents (papers, articles, documentation) more easily, faster, and with more enjoyment. We plan on replicating the success GitHub Copilot had with programmers community. After extensive research, we know what we want to make and how. The technology is tested, the plan is laid down, resources are acquired and waiting. Our solution is not only a viable business product, we also care about broader impact. We believe that our product can expedite the process of scientific research on various important topics changing the world for the better. If you want to help us in changing the world, then please contact us!
Empowering Your Coding Journey - CodeHelp
"Empowering Your Coding Journey: CodeHelp" CodeHelp is your dedicated platform for advancing your coding skills. Whether you're a beginner embarking on your coding adventure or an experienced programmer seeking to enhance your capabilities, our platform is tailored to assist you in achieving your coding goals. By integrating cutting-edge AI technology, CodeHelp offers a dynamic and supportive environment for your coding journey. **Tailored to Your Needs** In the rapidly evolving digital landscape, coding has become an indispensable skill. CodeHelp recognizes that coding can be both thrilling and challenging, and we are committed to providing the resources and tools necessary to cater to a diverse range of coding enthusiasts. **AI-Powered Assistance** CodeHelp's core strength lies in its utilization of advanced AI technology. Imagine you're working on a coding project, such as creating a calculator application. You've successfully initiated your code, but as you dive deeper into its complexities, you may encounter obstacles or uncertainties. This is where CodeHelp comes into play. **Seamless Guidance** As you code, CodeHelp actively monitors your progress. When it senses that you might require assistance, it offers a "need help" option. This isn't just any form of assistance; it's AI-driven guidance tailored to your specific needs. **1. Code Suggestions:** When you need assistance with the next lines of code, CodeHelp can suggest code snippets or provide partial code blocks relevant to your ongoing project. Whether you're dealing with intricate algorithms or simple functions, our AI is prepared to lend a helping hand. Regardless of where you stand in your coding voyage, CodeHelp is your trusted companion. It assists you in navigating the dynamic and ever-evolving realm of programming. Join us today and embark on an unparalleled coding adventure. Your coding success story begins here.
AutoStableCode is a VSCode Extension that magically produces code in just about any language well. Coding can be frustrating and time-consuming, with errors adding hours of debugging to a project. Errors in code can result in security risks, broken software, and dissatisfied clients. AutoStableCode produces error-free, usable code for easy and efficient coding without the frustration and risk. Over 19 million developers globally, with the market size expected to grow at a CAGR of 8.9% by 2027. StableCode AI offers a subscription-based service with tiered pricing for individual and enterprise use. Watch StableCode AI in action and see for yourself how it produces fixed, immediately-useable code with zero errors.
For high school students and those outside of computer science, understanding the syntax being machine leaning can be a steep learning curve. This project aims to help bridge that gap by providing a learning platform, giving everyone access to the world of AI. Design your own AI using our interface and obtain a code with explanation on how to bring your custom AI to life ! We use your design options to build a promo that can be fed into stablecode from Stability AI. The code will generated by stable code will also contain comments, which serve as an explanation, hence allowing you to learn the syntax of implementing your own AI.