Continue

Continue is an open-source AI code assistant that lets developers connect any LLM to their IDE while maintaining full control over context, configuration, and data flow. It supports custom context providers, slash commands, configurable model selection, and prompt templates, making it highly adaptable to enterprise workflows. Developers can use cloud-hosted models, self-hosted open-source models, or local models running on their own hardware -- all through the same unified interface in VS Code or JetBrains IDEs.

For enterprise teams, Continue's open-source nature means full transparency into how code is processed and transmitted, with no vendor lock-in to a specific AI provider. Organizations can define custom context providers that pull information from internal documentation systems, wikis, or architecture registries, enriching AI interactions with organization-specific knowledge. The configuration-as-code approach allows engineering teams to version-control their AI assistant setup and share standardized configurations across departments.

Continue differentiates itself by prioritizing developer autonomy and extensibility over a prescriptive, opaque experience. Unlike proprietary AI assistants that dictate which models and context sources are available, Continue allows teams to compose their own AI coding stack. This is particularly valuable for enterprises evaluating multiple LLM providers, running proof-of-concept deployments with local models before committing to cloud providers, or operating in environments where specific models must be used due to data classification requirements.