Best Free AI tools for AI Code Assistant in Perchance AI

Techmart AI is a platform that offers code-free tools to help users bring their tech projects to life quickly and efficiently.

Prompt Mixer is an open source tool designed to facilitate prompt engineering for AI-powered solutions. It enables teams of managers, engineers, and data specialists to collaborate and create effective prompts and chains, which can be combined with datasets and improved using AI.

Codestral is an open-weight generative AI model designed for code generation tasks, helping developers write and interact with code through a shared instruction and completion API endpoint.

Cognition is an applied AI lab that builds end-to-end software agents to help ambitious engineering teams achieve more.

The Open Interpreter Project enables Large Language Models (LLMs) to run code on your computer, revolutionizing the way you interact with computers.

GitHub Next's Copilot Workspace is a task-oriented development environment that helps you plan and author a coordinated set of changes to your codebase.

Create is a free-to-use AI app builder that allows users to turn their words into sites, components, and tools built with code. It integrates with GPT-4 and 40+ other integrations.

GitHub Models brings the power of industry leading large and small language models to our more than 100 million users directly on GitHub. Access each model via a built-in playground that lets you test different prompts and model parameters, for free, right in GitHub.

AutoGen is an open-source programming framework for Agentic AI. It provides a multi-agent conversation framework, supports diverse applications, and offers enhanced LLM inference APIs for improved performance and reduced cost.

Void is an open source AI code editor that allows users to write code with the best AI tools while retaining full control over their data and accessing powerful AI features.

Genie is the world's best AI software engineer, achieving a 30% eval score on the industry standard SWE-Bench benchmark. It can solve bugs, build features, refactor code, and more, either autonomously or paired with the user.

A nanoGPT pipeline packed in a spreadsheet, providing a unique approach to machine learning and data analysis.