Key Takeaways
- Windsurf is an AI-native IDE built by Codeium, now owned by Cognition AI following a July 2025 acquisition that included the IDE product, IP, and $82M ARR.
- The Cascade agent is Windsurf’s core differentiator: it tracks your edits, terminal output, clipboard, and test runs in real time to maintain shared context without re-prompting.
- Windsurf’s proprietary SWE-1 model family launched in May 2025 and performs comparably to Claude 3.5 Sonnet on tool-call reasoning tasks, according to Windsurf’s launch announcement.
- SWE-1 and SWE-1-lite are available at zero credit cost, meaning paid users get unlimited access without burning through the monthly credit quota.
- Pricing is Free ($0/month, 25 credits), Pro ($15/month, 500 credits), and Teams ($30/user/month), based on Windsurf’s pricing page.
- OpenAI agreed to acquire Windsurf for $3 billion in May 2025, but the deal collapsed when the exclusivity period expired; Cognition AI ultimately acquired the company, per Fortune.
- Windsurf ranked #1 in the AI Dev Tool Rankings as of early 2026, ahead of Cursor and GitHub Copilot.
- The Memories feature stores naming conventions, patterns, and preferences across sessions, so Cascade produces code that matches your house style without explicit prompts after repeated use.
- Windsurf supports 40+ IDE plugins, including JetBrains, Vim, NeoVim, and Xcode, giving it broader reach than Cursor’s single-editor approach.
- Real developer feedback on G2 and developer blogs points to Cascade timing out or crashing roughly once every two weeks, which is the most cited reliability complaint.
If you have been watching the AI coding tool space for the past 18 months, Windsurf is a name that keeps coming up, sometimes with excitement, sometimes with frustration, and occasionally with both in the same sentence. Originally shipped by Codeium as a VS Code fork, Windsurf has grown into something distinct: an IDE designed from the ground up around an agentic AI workflow, with the Cascade agent at its center.
This review covers Windsurf as it stands in 2025, focusing on the Cascade agent, the SWE-1 model family, pricing, and how the tool actually performs on real engineering tasks beyond simple autocomplete. It also covers the acquisition drama that unfolded mid-year, because that context matters if you are deciding whether to commit to this tool for your team.
The short version: Windsurf is genuinely strong for multi-file refactoring, large codebase navigation, and agentic task execution. It also has real rough edges around stability. Whether those trade-offs work for you depends heavily on how you actually code.
What is Windsurf?
Windsurf is an AI-native code editor built by Codeium, a company founded in 2021. Codeium originally built an AI autocomplete extension compatible with dozens of IDEs. Windsurf, launched in late 2024, was their pivot to a full standalone editor, built as a fork of VS Code and structured entirely around agentic AI assistance rather than passive code suggestions.
The product is now operated by Cognition AI, which acquired Windsurf in July 2025 for a reported sum that included the IDE product, the SWE-1 model IP, approximately $82M in annual recurring revenue, 350+ enterprise customers, and hundreds of thousands of daily active users, according to reporting from Second Talent. Cognition AI is the team behind Devin, the autonomous software engineering agent, and their roadmap centers on integrating Devin’s capabilities directly into the Windsurf IDE.
Before the Cognition deal closed, OpenAI had agreed to acquire Windsurf for $3 billion in May 2025, which would have been OpenAI’s largest acquisition to date, per Bloomberg. That deal collapsed when the exclusivity period expired, and Google moved in to secure a licensing agreement while key team members joined Google DeepMind, according to Fortune. The current Windsurf product is independent under Cognition AI’s ownership.
Windsurf Features
Cascade: The Core Agent
Cascade is the centerpiece of Windsurf and what separates it from tools like GitHub Copilot or even early versions of Cursor. Rather than waiting for you to write a prompt, Cascade maintains an active, shared context that updates as you work. When you save a file, run a failing test, paste something from your clipboard, or open a terminal session, Cascade registers those events. Your next message arrives in a context that already includes what just happened, without you having to explain it.
Windsurf calls this “Flow awareness,” and the docs describe it as the ability for humans and AI to operate on a shared timeline. In practice, this means you can say “fix what’s failing” after running a test suite and Cascade already knows which tests failed and in which files, because it observed the terminal output.
Cascade operates in two modes. In Chat mode it behaves like a standard AI assistant for questions and explanations. In Write mode it operates as an agent: it reads relevant files, identifies call sites, makes changes across multiple files, runs tests, and asks for confirmation only on genuinely ambiguous decisions. This is a meaningfully different posture than Cursor’s Composer, which creates a plan, makes edits, and shows a diff for your approval at every step.
The SWE-1 Model Family
Windsurf launched its first proprietary model family in May 2025. The SWE-1 family includes three models, each targeting a different point in the development workflow:
- SWE-1: The full-size model, designed for advanced reasoning and multi-step tool use. Available for unlimited use to all paid users at zero credit cost. Benchmarked comparably to Claude 3.5 Sonnet on tool-call reasoning, per InfoQ.
- SWE-1-lite: A smaller, faster model that replaced Cascade Base. Available for unlimited use to all users, including free tier. Suited for everyday editing and shorter tasks.
- SWE-1-mini: Powers Windsurf Tab, the passive code prediction feature. Optimized for low-latency inline completion. Unlimited for all tiers.
The significance of the SWE-1 launch is that Windsurf’s own models now consume zero credits. Third-party models like Claude or GPT-4o still draw from your monthly credit quota, but daily coding workflows on SWE-1 are effectively uncapped for paid users. SWE-1.5, a faster agent model developed by Cognition after the acquisition, achieves approximately 950 tokens per second, which is substantially faster than running inference through third-party model APIs, according to Cognition’s blog.
Memories
The Memories feature stores your coding preferences and project conventions across sessions. When you correct Cascade’s output or establish a preference, Windsurf stores that as a memory that future sessions reference automatically. After repeated use on the same project, Cascade starts producing code that matches your house style, naming conventions, and file structure without requiring explicit prompts each time.
This is particularly useful in team settings. When team-wide memories are configured and shared, every developer gets AI output that follows the team’s conventions from day one, rather than spending the first few sessions teaching the AI how your codebase works.
Turbo Mode and Terminal Integration
Cascade has three levels of command execution: Off, Auto, and Turbo. In Turbo mode, Cascade executes terminal commands autonomously without pausing for approval at each step. This is the feature that moves Windsurf from “helpful assistant” to “autonomous agent” territory. Cascade uses a dedicated zsh shell configured specifically for reliability, separate from your default shell, and it can read environment variables from your .zshrc configuration.
For refactoring tasks where the steps are predictable, Turbo mode significantly reduces the back-and-forth. The risk is that Cascade can execute commands that affect your repo state before you review the full plan. Most developers keep Turbo mode off for unfamiliar codebases and switch it on for projects where they trust the AI’s context.
Context Retrieval and Codebase Indexing
Windsurf indexes your codebase on first load and uses a RAG-based architecture to pull relevant snippets into context automatically. You do not tag files manually before prompting; the AI determines what is relevant based on your query and the current state of your work. A Fast Context subagent powered by SWE-grep enables retrieval at over 2,800 tokens per second, which Windsurf’s docs say is up to 20x faster than standard approaches.
This architecture is particularly useful on large monorepos. Windsurf claims enterprise support for codebases of 100M+ lines, and its self-hosted deployment options support HIPAA, FedRAMP, and ITAR compliance environments, per Windsurf’s comparison page.
MCP Integrations and Browser Preview
Windsurf supports the Model Context Protocol (MCP), which enables integrations with GitHub, Slack, Stripe, Figma, and various databases directly inside the IDE. This means Cascade can pull a GitHub issue into context, look up a Stripe API reference, or query a connected database without you leaving the editor.
The built-in browser preview opens local development servers directly inside the IDE, allowing Cascade to observe rendered output as it edits frontend code. This closes a feedback loop that previously required manual switching between the IDE and a browser.
Windsurf Pricing
Windsurf uses a credit system for third-party model access, while its own SWE-1 models are free at zero credits. Based on the official pricing page:
| Plan | Price | Credits/Month | Key Inclusions |
|---|---|---|---|
| Free | $0/month | 25 credits | SWE-1-lite unlimited, Windsurf Tab, limited Cascade |
| Pro | $15/month | 500 credits | SWE-1 unlimited, 500 credits for Claude/GPT models, priority queue |
| Teams | $30/user/month | 500 credits/user | Everything in Pro, shared memories, admin controls, team usage dashboard |
| Enterprise | Custom | Up to 1,000 credits/user | Self-hosted, SSO, HIPAA/FedRAMP support, SLA |
Credits apply to third-party model usage. Windsurf’s own SWE-1 and SWE-1-lite models cost zero credits and are unlimited on paid plans. Third-party models like Claude or GPT-4o consume credits at the model provider’s API price plus a 20% margin, according to Metronome’s pricing index.
Note: Some sources report that pricing shifted in early 2026, with Pro moving to $20/month and Teams to $40/seat. The $15/Pro figure reflects the 2025 pricing at which most of this review’s testing data was gathered. Check Windsurf’s pricing page for the current rate before signing up.
Windsurf Pros and Cons
Pros:
- Cascade’s shared-context model genuinely reduces re-prompting overhead on complex tasks
- SWE-1 and SWE-1-lite are unlimited on paid plans at zero credit cost, making daily coding economical
- Memories persist project conventions across sessions, improving output consistency over time
- 40+ IDE plugins provide more flexibility than Cursor’s VS Code-only approach
- Large codebase support with RAG-based indexing handles monorepos well without manual file tagging
- Self-hosted deployment options for HIPAA, FedRAMP, and ITAR environments make it viable for regulated industries
- Free tier includes unlimited SWE-1-lite, which is competitive with or better than most free AI coding tiers
Cons:
- Cascade times out or crashes more often than Cursor, with some developers reporting a lost session roughly every two weeks
- Cold-start speed noticeably lags Cursor on a clean boot
- The credit system for third-party models can feel opaque; SWE-1’s credit-free nature is not prominently explained during onboarding
- Turbo mode’s autonomous command execution requires care; it can modify repo state without a full-plan review
- Acquisition uncertainty (the OpenAI deal collapse, the Cognition acquisition, key staff joining Google DeepMind) has raised durability concerns among some users
- Missing some VS Code extensions that work in Cursor, since both are VS Code forks but handle extension compatibility differently
Windsurf vs Alternatives
Windsurf vs Cursor
Cursor and Windsurf are the two most compared agentic IDEs. The core difference is philosophical: Cursor feels like a power-user editor that happens to have an AI, while Windsurf feels like an AI agent that happens to live in an editor. Cursor’s Composer shows you a diff and asks for approval at each step; Cascade executes autonomously and only pauses on genuinely ambiguous decisions.
In practice, Cursor is faster to boot, more stable, and better for single-file editing. Windsurf is more capable at multi-file refactoring and handles large codebase navigation more smoothly through automatic RAG-based indexing. At comparable price points (Pro tiers were $15/Windsurf vs $20/Cursor for most of 2025), Windsurf offered slightly better value for developers who refactor frequently, according to Qodo’s tested comparison.
Windsurf vs GitHub Copilot
GitHub Copilot is the most widely used AI coding tool and integrates tightly with GitHub’s pull request and code review workflows. Its advantage is GitHub-native context: Copilot can pull issue descriptions, PR comments, and repository history directly into suggestions. Copilot’s September 2025 update delivered 37.6% better retrieval accuracy according to Augment Code’s analysis.
Windsurf beats Copilot on agentic task execution. Copilot is fundamentally an autocomplete and chat tool; it does not autonomously read files, run tests, and make multi-step edits. If you want an AI that handles a refactoring task end-to-end rather than assisting you through it, Windsurf is the stronger choice. Copilot is better for developers already deep in the GitHub ecosystem who want tight PR integration.
How Windsurf Handles Real Engineering Work
The most honest test of any AI coding tool is not “can it write a React component from scratch” but “can it help on the messy middle of real engineering work.” Based on developer feedback from RoboRhythms’ six-month review and G2 reviews, here is where Windsurf actually performs well and where it does not:
Strong cases: Windsurf performs well on multi-file refactoring tasks where the context spans many files. Give Cascade a task like “update all API calls to use the new auth header format” and it reads the relevant files, identifies every call site across the codebase, makes the changes, and confirms. This kind of task is tedious to do manually and error-prone when done with simple search-and-replace. Cascade handles it reliably when the codebase is indexed.
Onboarding to an unfamiliar codebase is another strong suit. The RAG-based indexing means you can ask “where does the payment flow start?” or “what handles session expiration?” and get an accurate answer without manually tracing call chains through the editor.
Weaker cases: Windsurf is less reliable on tasks that require sustained multi-session context without Memories set up. If you are working on a complex feature across multiple days and have not explicitly established conventions through the Memories system, Cascade can drift from your earlier decisions. Reliability on long agentic tasks is also inconsistent, with timeouts being the most common developer complaint. Single-file editing and quick completions are better served by Cursor or Copilot.
Who is Windsurf Best For?
Individual developers on large codebases: If you regularly work in monorepos or multi-service architectures, Cascade’s automatic codebase indexing saves significant time compared to manually tagging context. This is the strongest individual-developer use case.
Teams that want consistent AI output: The shared Memories feature and admin controls in the Teams plan let engineering leads define conventions once and have every developer’s Cascade sessions follow them. This is harder to replicate with Copilot.
Developers in regulated industries: Windsurf’s self-hosted deployment options, FedRAMP High support, and EU data residency make it one of the few AI coding tools viable for healthcare, defense, and finance organizations with strict compliance requirements.
Developers outside VS Code: The 40+ IDE plugins mean JetBrains, Vim, NeoVim, and Xcode users can access Cascade without switching editors, which Cursor cannot offer.
Not ideal for: Developers who want maximum stability above all else, those who prefer full visibility into every AI action before execution, or teams already deeply integrated with GitHub’s PR workflow where Copilot’s native integration adds more value.
Our Verdict
Windsurf is a genuinely capable AI IDE that is ahead of the market in some specific areas: agentic multi-file editing, large codebase navigation, and persistent session memory. These are not minor improvements over autocomplete tools; they represent a different category of assistance.
The tradeoffs are real. Stability is not as good as Cursor. The acquisition activity in 2025 (the OpenAI deal, the Cognition acquisition, staff moving to Google DeepMind) has left some developers uncertain about the product’s long-term direction. The credit system for third-party models can feel confusing until you understand that SWE-1 costs nothing.
For developers who spend meaningful time on refactoring, codebase exploration, and agentic tasks, Windsurf Pro at $15/month is worth trying. The free tier is generous enough to validate whether Cascade’s workflow fits how you actually code before committing. If you are primarily editing single files and want fast, reliable completions, Cursor or Copilot are safer bets today. Windsurf is the better tool if you are willing to work with it rather than around it.
Frequently Asked Questions
What is Windsurf and who made it?
Windsurf is an AI-native code editor originally built by Codeium, a company founded in 2021. It launched as a standalone IDE in late 2024, built as a VS Code fork with the Cascade agentic AI assistant at its core. Codeium was acquired by Cognition AI in July 2025. Windsurf is currently developed and operated by Cognition AI, the team behind the Devin autonomous coding agent.
What is the Cascade agent in Windsurf?
Cascade is Windsurf’s built-in AI agent that maintains shared context with the developer in real time. It tracks your file edits, terminal output, clipboard content, and test runs to update its context as you work, without requiring you to re-explain the situation in each prompt. In Write mode, Cascade can autonomously read files, identify changes needed across multiple files, make those changes, and run tests. In Turbo mode, it also executes terminal commands automatically.
How is Windsurf different from Cursor?
The primary difference is in how each tool handles AI tasks. Cursor’s Composer creates a plan, makes edits, and shows a diff for your approval at each step. Windsurf’s Cascade operates more autonomously, executing changes and only pausing for confirmation on ambiguous decisions. Windsurf is stronger at multi-file refactoring and large codebase navigation. Cursor is generally faster to boot and more reliable for single-file editing and quick completions.
What is Windsurf’s free plan and what does it include?
The free plan costs $0/month and includes 25 monthly credits for third-party models (Claude, GPT), unlimited access to SWE-1-lite (Cascade’s standard model), unlimited Windsurf Tab completions powered by SWE-1-mini, and limited Cascade usage. The free tier is competitive with other AI coding tools’ free plans and is useful for evaluating the Cascade workflow before upgrading.
Did OpenAI acquire Windsurf?
OpenAI agreed to acquire Windsurf for approximately $3 billion in May 2025, which would have been its largest acquisition ever. The deal did not close. After the exclusivity period expired, Google struck a licensing deal with Windsurf, and key members of the Codeium team joined Google DeepMind. Cognition AI ultimately acquired Windsurf’s IDE product, IP, and business in July 2025, per reporting from Fortune.
What are the SWE-1 models and how do they affect pricing?
SWE-1 is Windsurf’s proprietary model family, launched in May 2025. It includes three models: SWE-1 (full-size, for complex tasks), SWE-1-lite (mid-size, standard daily use), and SWE-1-mini (lightweight, powers Windsurf Tab completions). The key pricing implication is that all three models cost zero credits to use. Only third-party models like Claude or GPT-4o draw from your monthly credit quota. For developers who work primarily with SWE-1, the Pro plan’s 500 credits go much further because day-to-day coding does not consume them.
Is Windsurf good for large codebases?
Yes, this is one of Windsurf’s clearest strengths. Windsurf indexes your codebase on first load using a RAG-based architecture and a Fast Context subagent that retrieves relevant code at over 2,800 tokens per second. You do not need to manually tag files before prompting. The enterprise tier explicitly supports codebases at 100M+ lines, and the self-hosted deployment option meets HIPAA, FedRAMP, and ITAR compliance requirements, making Windsurf viable in regulated industries.
What are the main complaints developers have about Windsurf?
The most common complaint is stability: Cascade times out or loses session state more often than Cursor, with some developers reporting a disrupted session roughly every two weeks. Cold-start speed is slower than Cursor on a fresh boot. The credit system for third-party models confuses new users until they understand that SWE-1 is free. Some developers also raised concerns about long-term product direction following the ownership changes in 2025, including key staff moving to Google DeepMind after the OpenAI deal collapsed.
How does Windsurf compare to GitHub Copilot?
GitHub Copilot excels at autocomplete, inline suggestions, and GitHub-native integration including pull request and code review context. Windsurf is stronger at agentic task execution: autonomous multi-file edits, codebase exploration, and test-driven iteration. Copilot is the better choice for developers deeply embedded in the GitHub workflow. Windsurf is the better choice for developers who want an AI that handles end-to-end engineering tasks rather than assisting step by step.
