Windsurf, built by Codeium, entered the AI-native editor race with a clear goal: match Cursor’s editor-first workflow while pushing agentic behavior even further with its “Cascade” agent system. In 2026 it has carved out a loyal following among developers who want deep AI integration but prefer Windsurf’s particular balance of autonomy and control. The Foremy Team tested Windsurf across a mid-size Python data pipeline and a smaller TypeScript frontend to see how it compares with the more established names in the category.
What Is Windsurf?
Like Cursor, Windsurf is a standalone editor rather than a plugin, built to feel familiar to anyone coming from VS Code while layering AI features deeply into the editing experience. Its headline feature is Cascade, an agent flow designed to handle larger, multi-step tasks with a strong emphasis on maintaining awareness of the actions it has already taken, so later steps in a long task stay consistent with earlier ones.
Key Features We Tested
- Cascade agent: A flow for describing a larger task and letting Windsurf plan, execute, and self-correct across a session rather than a single request.
- Supercomplete: Multi-line, context-aware completions similar in spirit to Cursor’s Tab feature.
- Live preview integration: The ability to see the running result of frontend changes alongside the code being edited.
- Memory across a session: Cascade keeps track of prior actions and decisions within a working session, reducing the chance of contradicting an earlier change later in the same task.
- Broad language support: Solid coverage across the mainstream languages our testers used, including Python, TypeScript, and Go.
Setting Up Windsurf
As with Cursor, moving to Windsurf means switching your primary editor rather than installing an extension. Import of existing settings and extensions was straightforward during testing, and the overall interface will feel immediately familiar to anyone coming from VS Code. First-run onboarding does a reasonable job of explaining Cascade before you dive into your first real task.
Everyday Coding Experience
Supercomplete performed well on repetitive patterns, though our testers found it slightly less aggressive than Cursor’s Tab feature at proposing distant, multi-line edits; it tended to stay closer to the immediate area being edited. That is not necessarily a downside — it produced fewer surprising suggestions to review, which some developers on the team preferred.
Cascade was tested on a task involving restructuring a Python ETL pipeline to add a new data validation step across several stages. It correctly identified all the affected stages, added the validation logic consistently at each one, and updated the relevant configuration file without losing track of earlier changes partway through the session — exactly the kind of consistency its “memory” design is meant to deliver. On a frontend task, the live preview integration was genuinely useful: watching a component update in real time while Cascade adjusted styling made it much faster to catch a spacing issue that would otherwise have required a manual rebuild to notice.
Where Windsurf showed more friction was on a very large, older codebase with inconsistent structure; Cascade occasionally needed a more specific initial prompt than Cursor did to correctly scope which files were actually relevant to a task.
Pricing
| Plan | Approximate Price | Best For |
|---|---|---|
| Free | $0/month | Trying Supercomplete and light Cascade usage |
| Pro | ~$15/month | Individual developers who want regular Cascade access |
| Teams | ~$30/user/month | Teams needing shared billing and basic admin controls |
Windsurf generally lands between GitHub Copilot and Cursor on price, which makes it an appealing middle ground for developers who want an AI-native editor without paying quite as much as Cursor’s Pro tier.
Pros and Cons
| Pros | Cons |
|---|---|
| Cascade maintains strong consistency across long, multi-step sessions | Supercomplete is less aggressive than Cursor’s Tab on distant multi-line edits |
| Useful live preview for frontend work | Needs more specific prompts on very large, inconsistently structured codebases |
| Mid-range pricing between Copilot and Cursor | Smaller ecosystem and community than Cursor at this point |
| Familiar VS Code-based interface | Requires switching your primary editor |
How It Compares to Other Tools
Windsurf is most directly comparable to Cursor, since both are VS Code-based, standalone AI-native editors with a dedicated agent mode. Cursor’s Tab completions tend to be more aggressive and its agent slightly more capable on large, messy codebases, while Windsurf’s Cascade holds its own with strong session-level consistency and a genuinely useful live preview feature for frontend work. Compared with GitHub Copilot, Windsurf offers a deeper, more autonomous agent experience at a moderate price increase, without going as far as Cursor’s premium tier.
Frontend-Specific Workflow
Windsurf’s live preview integration deserves a closer look, since it was the single feature that most distinguished it from the other editors in this review. During testing, editing a React component’s styling while watching the live preview update in a side panel made it dramatically faster to catch layout issues, such as a flex container collapsing unexpectedly on a narrower viewport, without needing to tab back and forth to a browser and manually refresh. For teams doing heavy frontend or design-system work, this single feature may justify choosing Windsurf over a competitor with a marginally stronger backend agent.
Team Collaboration Features
The Teams plan adds shared configuration for house coding style rules, so a team can define preferred patterns once and have Cascade respect them across every developer’s sessions, rather than each person tuning prompts individually. In testing with a small team account, this noticeably reduced the amount of back-and-forth needed to get generated code to match existing project conventions, particularly around naming and file organization, once the shared rules were configured correctly at the start.
Stability and Reliability Notes
Across the testing period, Windsurf was stable overall, though our team did encounter two instances where Cascade needed to be restarted mid-session after appearing to stall on a particularly large diff. Neither incident resulted in lost work, since changes already applied remained in the working tree, but it is a reminder that even mature AI-native editors can still have rough edges on unusually large or complex tasks, and it is worth committing your work frequently regardless of which assistant you use. Support response times during the review period were reasonable for a paid Pro account, and a dedicated escalation path is available for Teams customers who need faster turnaround on account or billing questions specifically.
Common Questions
Is Windsurf good for beginners? The interface is approachable and the free tier is generous enough for learning, though newer developers may get more guardrails from Copilot’s more conservative completion style while they are still building foundational skills.
Does Windsurf support the same extensions as VS Code? Most standard VS Code extensions installed cleanly during testing, with the same small caveat around a handful of proprietary Microsoft-specific extensions that other VS Code forks in this category also cannot support.
How does Cascade handle very long sessions? It generally maintains good consistency, though extremely long sessions on very large diffs occasionally required a manual restart during testing, as noted above.
Who Should Use Windsurf?
Windsurf is a strong choice for developers who want an AI-native editor with a genuinely capable agent but are looking for a slightly gentler price point than Cursor. It is particularly appealing for frontend-heavy teams thanks to the live preview integration, and for developers who value consistency across longer agent sessions over the most aggressive possible autocomplete. Backend-focused teams working primarily on very large, sprawling monorepos may still want to compare it directly against Cursor or Claude Code before committing, since our testing showed a small but real gap in large-repo scoping compared with those two tools.
Testing Notes From the Foremy Team
A recurring theme in our notes was how much Windsurf’s live preview changed the rhythm of frontend work specifically. On the TypeScript project, one tester described the workflow as closer to pair programming with someone who can see the browser over your shoulder at all times, rather than an assistant that only understands the code in the abstract. On the Python data pipeline side, Cascade’s session memory meant we rarely had to re-explain context we had already established earlier in a working session, which is a smaller thing on paper but made longer sessions feel noticeably less repetitive than tools that require re-stating context with every new request.
Documentation and Getting Help
Windsurf’s onboarding documentation was clear and covered the essentials well, including a short guided tour the first time you open a new project. Community resources are still growing compared with the larger ecosystem around Cursor, but our testers found enough existing guides and forum threads to resolve every configuration question that came up during the review, including how to set up shared team style rules for Cascade.
Final Verdict
Windsurf is a credible, well-priced alternative in the AI-native editor race. Cascade’s session consistency and the live preview feature stand out as genuine strengths, even if Supercomplete and large-repo scoping trail Cursor slightly. For developers who want most of what an AI-native editor offers without paying Cursor’s premium, Windsurf is an easy tool to recommend trying.
Foremy Rating: 4.2 / 5 — Best for: developers who want a capable, mid-priced AI-native editor with strong frontend tooling.