Continue vs PartyKit: 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.

PartyKit is an open-source platform that makes building real-time, multiplayer and collaborative applications dramatically simpler. Real-time features — where multiple users see live updates, presence, cursors, chat or shared state — are increasingly expected in modern apps, but implementing the underlying infrastructure (persistent connections, state synchronization, scaling across many concurrent users) is genuinely hard. PartyKit abstracts this complexity, letting developers add real-time, multiplayer capabilities to their projects with a clean programming model and minimal boilerplate.

The platform is built on edge computing, running your real-time logic close to users for low latency, and provides a simple way to manage rooms of connected clients and their shared state. Developers write small server-side pieces ("parties") that handle the real-time coordination, and PartyKit takes care of the connections, scaling and infrastructure. This makes it possible to build things like collaborative editors, multiplayer games, live chat, real-time dashboards, shared whiteboards, and presence features without becoming an expert in distributed real-time systems or operating WebSocket infrastructure at scale.

Because it's open source and developer-focused, PartyKit fits naturally into modern web development workflows and integrates with frameworks and tools developers already use, making it approachable for adding a real-time layer to existing applications. It's popular with developers building interactive, collaborative experiences who want the power of real-time multiplayer without the heavy lifting. As users come to expect the live, collaborative feel popularized by tools like Figma and multiplayer apps, accessible infrastructure for building such experiences becomes increasingly valuable. PartyKit lowers the barrier so that real-time and multiplayer features are within reach for many more developers and projects. For anyone who wants to build collaborative, real-time, multiplayer applications on the edge — without wrestling with the underlying complexity — PartyKit offers an elegant, open and genuinely empowering platform.