Continue vs Windsurf: Free Open Extension vs Cascade AI Editor

Both tools give you AI-assisted coding in an editor environment. Everything else about them is different.

Continue is a free, open-source extension you install in VS Code or JetBrains. You bring your own API keys, configure your own models, write your own custom slash commands, and own every aspect of your setup. The extension costs nothing. The community is open. The configuration is plain text.

Windsurf is a complete AI IDE, a VS Code fork built by Cognition around its Cascade agentic system. The completions are fast, the diff review is polished, Memories persist project context across sessions, and Cascade can work autonomously across multi-step tasks without constant prompting. The free tier is real; Pro is $15/month.

The comparison keeps coming up because developers want AI in their editor and are trying to figure out whether to extend their existing setup or switch to something purpose-built.

Quick verdict

If you value flexibility, openness, and zero monthly cost, Continue is the better foundation. If you value a polished, integrated editing experience where the AI feels native to the environment and want the agent to work more autonomously, Windsurf is worth the $15/month.

These aren't the same product at different prices. They're different philosophies about how AI coding tools should work.

Pricing breakdown

Continue is free. The extension costs nothing. You pay model providers directly for API calls. On moderate daily use with Claude Sonnet 4.6, expect a few dollars a month in Anthropic API fees. Using a local Ollama model, the cost is zero beyond your hardware. Continue Hub is free for individuals with paid enterprise plans for teams.

Windsurf has a free tier with limited Cascade flows and completions. Pro runs $15/user/month with unlimited completions and expanded Cascade usage. Teams is $35/user/month with SSO, centralized billing, and admin controls. Enterprise pricing is custom.

At $15/month, Windsurf Pro is cheaper than Cursor Pro by $5/month. For developers comparing AI IDEs on cost, Windsurf sits in an attractive price range. Continue's $0 baseline is lower still, but you're paying in API costs and configuration time rather than a subscription.

Model flexibility

Continue is built around the idea that you should control your model choices completely. Configure Anthropic, OpenAI, Google, Mistral, Cohere, or any OpenAI-compatible API. Run local models via Ollama or LM Studio. Route different tasks to different models: expensive Opus calls for complex agent tasks, cheap local models for autocomplete. All of this is in a plain JSON file you version-control.

Windsurf uses managed model infrastructure. You get access to frontier models including Claude variants, but you don't directly control which model runs for each request in standard tiers. The routing is handled by Windsurf. For developers who don't care about this level of control, it makes the experience simpler. For developers who want to pick their model, pay their provider directly, or run local models, it's a constraint.

If model choice matters, Continue has the more open architecture by a significant margin.

Cascade vs Continue agent mode

Windsurf's Cascade is designed to work in longer autonomous stretches. Give it a task, and it reads files, writes code, runs commands, and iterates, surfacing diffs for review when a meaningful chunk is done rather than stopping at every action. For scaffolding a new feature or making a consistent change across many files, Cascade's ability to work with fewer interruptions makes it faster in practice.

Continue's agent mode has matured significantly. It handles multi-file edits, can run terminal commands, and follows a task through several steps. Where it differs from Cascade is in the degree of autonomy. Continue's agent tends to check in more frequently. Whether that's a feature or a friction depends on how much you trust the model's judgment on the tasks you're giving it.

For production code or tasks where a wrong decision early compounds downstream, checking in more is the safer pattern. For greenfield work where speed matters and you're willing to review the final output, Cascade's stretch of autonomous work is faster.

Editor integration depth

Continue is an extension that lives inside VS Code or JetBrains. The integration is clean but it's still a sidebar panel, a set of keyboard shortcuts, and an AI layer over your existing editor. Everything else in your setup stays the same.

Windsurf is the editor. The AI is baked into the shell. Cascade runs inside the same application where you write code. The diff review UI is native to the editor. Tab completion is Codeium's engine, which has years of development behind it. Memories are a first-class IDE feature. The experience feels cohesive in a way that an extension on top of an existing editor can't fully replicate.

If the quality of the integrated experience matters to you, Windsurf's approach is better. If you want to keep your existing VS Code setup, tooling, and muscle memory intact, Continue is the lower-disruption path.

JetBrains and editor breadth

Continue supports VS Code and JetBrains with genuine feature parity. For teams or individuals who work in IntelliJ, PyCharm, or WebStorm, Continue's first-class JetBrains support is a real advantage. The full Continue feature set works in JetBrains, not a cut-down version.

Windsurf is VS Code only. If you need JetBrains support, Windsurf isn't an option.

Configuration and customization

Continue's configurability is one of its strongest points. The JSON/YAML config file controls which models run for which tasks, defines custom slash commands for your team's specific workflows, sets up context providers, and specifies prompt templates. This configuration is version-controllable, shareable via Continue Hub, and completely under your control.

Windsurf is configurable in the ways you'd expect from a polished IDE: project settings, custom rules for the editor and Cascade, MCP server connections. But it's not the deeply programmable surface Continue is. You can customize Windsurf's behavior, but you're working within what Windsurf exposes rather than having direct control over every aspect of how the AI operates.

For teams that want to standardize AI coding workflows across engineers and have those configurations be version-controlled and shareable, Continue Hub is the right architecture. For teams that want a consistent IDE experience without configuration overhead, Windsurf's managed setup is simpler.

Persistent memory

Windsurf Memories persist project context automatically across sessions. The editor learns what matters in your project and carries that forward. It needs occasional curation but it largely works without you managing it.

Continue starts each session without inheriting previous context by default. You can build context management into your prompts or maintain a project context document you reference at session start, but it's not automatic.

For developers who work deeply on one codebase over extended periods, Windsurf's automatic memory is a tangible time-saver. For developers who jump between many projects, the advantage is smaller since memory needs to be project-specific anyway.

Real workflows: when Continue wins

You want zero subscription cost. Continue with your own API keys is the most cost-effective serious AI coding setup available. Local models bring that cost to zero.

You live in JetBrains. Continue's first-class JetBrains support is not matched by Windsurf.

You want full control over model routing. Picking different models for different task types, running local models, paying providers directly.

You don't want to switch editors. Continue installs into your existing VS Code or JetBrains setup with no disruption.

You want open-source tooling you can audit. Continue's codebase is public and the behavior is transparent.

You need team-shared configurations. Continue Hub lets you share and discover AI assistant configurations across a team.

Real workflows: when Windsurf wins

You want a polished, purpose-built AI IDE experience. Windsurf's integration is more cohesive than an extension layer on top of an existing editor.

You want Cascade's autonomous agent mode for longer tasks. Less back-and-forth on multi-step tasks where the agent can work in stretches and surface a diff at the end.

You want automatic persistent memory. Windsurf's Memories carry project context across sessions without manual management.

You're primarily on VS Code and willing to switch applications for a better AI experience. The transition from VS Code to Windsurf is relatively low-friction.

You want fast, low-latency tab completion. Windsurf uses Codeium's completion engine, which is optimized for speed in a way that most extension-based completions aren't.

The honest take

Continue and Windsurf are different philosophies, not just different products at different price points.

Continue bets that the right AI coding tool gives you maximum control, works in every editor, costs nothing, and lets you own your configuration. It's the right bet for developers who value those things and are willing to invest a little time upfront configuring their setup.

Windsurf bets that the right AI coding tool is a purpose-built environment where AI is first-class, the experience is polished, and you get out of your own way and let the agent work. It's the right bet for developers who want the best integrated experience and are comfortable with $15/month for it.

Both bets are reasonable. Most developers should try Continue first because the cost of doing so is zero and it works in your existing editor. If you find yourself wanting more integration depth, a faster completion engine, or autonomous Cascade flows, Windsurf is a reasonable next step.

For related comparisons, see Continue vs Cursor and Cline vs Windsurf.