Continue provides an AI agent platform that runs automated checks on every pull request to ensure code quality before deployment. These agents suggest instant code improvements and enforce defined engineering standards automatically. This accelerates PR velocity by shifting focus from minor nitpicks to architectural review.
Funding
$2.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
FLJCLLFounders
Product
Problem
Software developers face productivity barriers due to context switching, the need to reference multiple resources, and the challenges of efficiently leveraging AI models within their integrated development environment (IDE). Existing AI code assistants often lack customization options and seamless integration with diverse AI models and contextual data.
Solution
Continue provides an open-source AI code assistant that integrates directly into IDEs like VS Code and JetBrains, streamlining the software development workflow. The platform allows developers to connect to any AI model and incorporate various contextual data sources, enabling custom autocomplete suggestions, in-depth codebase referencing, and natural language-based code rewriting. By removing productivity barriers and offering a plug-and-play system, Continue helps developers accelerate their coding process and stay in flow. The solution empowers developers to create a custom AI code assistant tailored to their specific needs and evolve with emerging AI capabilities.
Target Audience
The primary target audience includes software developers and engineering teams seeking to enhance their productivity and integrate AI-powered assistance into their coding workflows.
Features
- IDE integration with VS Code and JetBrains for a seamless development experience.
- Custom autocomplete functionality that suggests single lines or entire code sections in any programming language.
- Contextual referencing and chat capabilities, allowing developers to ask questions about functions, files, or the entire codebase.
- Natural language code rewriting, enabling developers to highlight code sections and use natural language instructions to modify code.
- Compatibility with various AI models, including Ollama, OpenAI, Together, Anthropic, Mistral, Azure OpenAI Service, and LM Studio.
- Integration with diverse context sources, such as codebase, GitLab Issues, documentation, methods, Confluence pages, and files.
- Support for various components, including Vector Database, LLM Proxy, Dev Data Store, IDE Extension, and Fine-tuning Engine.