Best AI Code Generators for LM Studio
View:
Compare the Top AI Code Generators that integrate with LM Studio as of August 2025
Sort By:
This a list of AI Code Generators that integrate with LM Studio. Use the filters on the left to add additional filters for products that have integrations with LM Studio. View the products that work with LM Studio in the table below.
What are AI Code Generators for LM Studio?
AI code generators are software tools that use artificial intelligence to automatically generate code based on user input or requirements, significantly reducing the time and effort required for software development. These platforms leverage machine learning algorithms and natural language processing (NLP) to understand user specifications and then generate the appropriate code. AI code generators often include features like auto-completion, error detection, and optimization suggestions, which help developers write cleaner, more efficient code faster. By using these tools, developers can streamline their coding process, improve productivity, and focus on higher-level tasks such as design and architecture. Compare and read user reviews of the best AI Code Generators for LM Studio currently available using the table below. This list is updated regularly.
-
1
bolt.diy
bolt.diy
bolt.diy is an open-source platform that enables developers to easily create, run, edit, and deploy full-stack web applications with a variety of large language models (LLMs). It supports a wide range of models, including OpenAI, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek, and Groq. The platform offers seamless integration through the Vercel AI SDK, allowing users to customize and extend their applications with the LLMs of their choice. With its intuitive interface, bolt.diy is designed to simplify AI development workflows, making it a great tool for both experimentation and production-ready applications.Starting Price: Free -
2
StarCoder
BigCode
StarCoder and StarCoderBase are Large Language Models for Code (Code LLMs) trained on permissively licensed data from GitHub, including from 80+ programming languages, Git commits, GitHub issues, and Jupyter notebooks. Similar to LLaMA, we trained a ~15B parameter model for 1 trillion tokens. We fine-tuned StarCoderBase model for 35B Python tokens, resulting in a new model that we call StarCoder. We found that StarCoderBase outperforms existing open Code LLMs on popular programming benchmarks and matches or surpasses closed models such as code-cushman-001 from OpenAI (the original Codex model that powered early versions of GitHub Copilot). With a context length of over 8,000 tokens, the StarCoder models can process more input than any other open LLM, enabling a wide range of interesting applications. For example, by prompting the StarCoder models with a series of dialogues, we enabled them to act as a technical assistant.Starting Price: Free -
3
Continue
Continue
The leading open-source AI code assistant. You can connect any models and any context to create custom autocomplete and chat experiences inside the IDE Remain in flow while coding by removing the barriers that block productivity when building software. Accelerate development with a plug-and-play system that makes it easy to get started and integrates with your entire stack. Become a leader in AI by setting up your code assistant to evolve as new capabilities emerge. Continue autocompletes single lines or entire sections of code in any programming language as you type. Attach code or other context to ask questions about functions, files, the entire codebase, and more. Highlight code sections and press a keyboard shortcut to rewrite code from natural language.Starting Price: $0/developer/month
- Previous
- You're on page 1
- Next