Continue vs Scalar: Which Is Better in 2026?

Continue is an open-source AI code assistant for VS Code and JetBrains that brings customizable, model-flexible AI help right into the editors developers already use. Rather than locking you into one closed platform, Continue lets you configure exactly which models you want to use — including your own keys and even local models — giving you control, flexibility and freedom from vendor lock-in while you get AI completion, chat and assistance inside your normal workflow.

Its strengths are openness and configurability. As an open-source project, it is transparent, community-driven and free, and its flexibility around models means you can tune it to your preferences, budget and privacy needs. It works across popular IDEs, so teams using different editors can share a consistent AI-assisted experience. For developers who want modern AI coding help without committing to a single proprietary editor or model provider, Continue offers a powerful, adaptable middle ground that respects how they already work.

Continue is ideal for developers and teams who value open source, want to choose and control their AI models, and prefer adding AI to their existing VS Code or JetBrains setup rather than switching editors. It sits alongside tools like Cline and Aider in the open-source AI-coding ecosystem, and is a flexible alternative to closed AI editors like Cursor. If you want customizable, open, model-agnostic AI assistance integrated into the IDE you already love, Continue is a standout choice that keeps you in control of both your workflow and your AI.

Scalar is a beautiful, modern, open-source tool for creating API documentation and references that developers actually enjoy using. It takes your OpenAPI (Swagger) specification and turns it into clean, interactive, well-designed documentation — complete with an integrated API client so developers can read about an endpoint and immediately try it out, right from the docs. For any company that offers an API, great documentation is essential to adoption, and Scalar makes producing it dramatically easier and far more attractive.

The tool's standout qualities are its design and interactivity. Where many auto-generated API docs are dated and clunky, Scalar produces polished, readable references with a thoughtful layout, search, and a modern aesthetic that reflects well on your product. The built-in API client lets developers make real requests to your endpoints directly within the documentation, experimenting with parameters and seeing responses without leaving the page or setting up a separate tool — which significantly improves the developer experience of learning and integrating an API.

Because Scalar is open source, teams can self-host it, customize it to match their brand, and trust it without lock-in, while it also offers hosted and platform options for convenience. It works from standard OpenAPI specs, so it fits naturally into existing API workflows and stays in sync with your actual API definition. This makes it appealing to developer-tools companies, API-first startups, and any engineering team that wants their API docs to be a genuine asset rather than an afterthought. As APIs proliferate and developer experience becomes a competitive differentiator, beautiful, interactive documentation matters more than ever. For teams that want to give developers documentation that's a pleasure to use — and to do it from their existing OpenAPI spec with an open, customizable tool — Scalar offers an excellent, modern solution.