Continue
Open-source AI code assistant customizable to your own models.
What is Continue?
Continue is an AI tool in the AI Dev Infra & Editor Tools category. Open-source AI code assistant customizable to your own models. AI-powered terminals, editors, and IDE integrations for day-to-day development work.
Teams typically bring in a tool like Continue when a broader platform's built-in version of this workflow isn't specific enough for what they need, rather than as a wholesale replacement for their existing stack — it gets adopted as a focused point solution and plugged in alongside whatever CRM, data, or workflow tools a team already runs. Concretely, that means fully open-source and model-agnostic, working with local or cloud LLMs of your choice, and configured per-project via a config file for custom context and commands. Whether it's the right point solution for your setup is worth checking directly — for current plans, limits, and integration details, see Continue's own site; we'd rather point you there than guess.
Key Features
- Fully open-source and model-agnostic, working with local or cloud LLMs of your choice
- Configured per-project via a config file for custom context and commands
Where Continue fits in your stack
Continue usually sits alongside the rest of a team's dev infra & editor stack rather than replacing it outright. In our directory it's grouped with Tabnine, JetBrains AI, Warp — if you're evaluating Continue, you're most likely comparing it against one of those, since they cover the same job, not a tool from an unrelated category. The ceiling most teams hit with tools in this category isn't the tool itself — it's the point where the workflow needs logic a vendor UI can't express (see the callout below).
Where a point solution like Continue breaks
- These tools speed up the loop a developer is already in — they don't decide what to build or catch an architecture mistake before it ships
- AI suggestions are trained on public code patterns, not your specific codebase's conventions and constraints
- None of them own deployment, monitoring, or incident response after the code merges
Dev tools make an engineer faster inside their workflow — they don't replace the engineer's judgment around it. An embedded engineer uses this same class of tooling while owning the decisions the tool itself can't make. See the sidebar to talk it through.
Continue alternatives
Other ai dev infra & editor tools in our directory.
Tabnine
AI code completion tool with private, self-hosted deployment options.
JetBrains AI
AI coding assistant integrated across JetBrains IDEs.
Warp
AI-powered terminal with command generation and agentic workflows.
Zed
High-performance code editor with built-in AI collaboration features.
Not a tool — an embedded engineer
Dev tools make an engineer faster inside their workflow — they don't replace the engineer's judgment around it. An embedded engineer uses this same class of tooling while owning the decisions the tool itself can't make. See the sidebar.
Frequently asked questions
Open-source AI code assistant customizable to your own models. Specifically: fully open-source and model-agnostic, working with local or cloud LLMs of your choice; configured per-project via a config file for custom context and commands. It's categorized in our directory under AI Dev Infra & Editor Tools.