My main use case for Windsurf is coding. I do a lot of coding with Windsurf; for example, the first was an application for telephones in React Native, and more recently, I built a full transaction engine with Azure. I'm building new software every week. More recently, I've tackled a lot of MCP servers with Windsurf.

In my opinion, the best feature Windsurf offers is the adequation between price and quality, meaning I can switch from expensive AI engines for difficult tasks to cheaper ones for easier ones, allowing me to manage my invoices effectively.

Windsurf helps me manage invoices and switch between AI engines easily; when we ask the AI to work, we can just select the AI model we want to use at that time, and that's very cool.

Windsurf has positively impacted my organization by helping me start projects on technologies I wasn't mastering; for example, when I initiated the project in React Native for telephones, I didn't know the technology, just had a YouTube video, and I believe that without Windsurf, I couldn't manage this kind of project and coding activities, so the main idea for me is that Windsurf allows me to work on technologies that I don't master.

Windsurf helped me learn and adapt to new technologies and saved me time; especially for React Native, I wouldn't have started the project without the help of AI and the possibility of using Windsurf to do it, and it's the same for other projects where I worked, such as a recent project with Electron and other technologies I didn't use and wouldn't have tackled without Windsurf.

I think that recently there is some form of long-term memory based on folders, which is good, but I prefer the product as it is now; I'm used to working with the old way of the visual source code interface, and I'm comfortable with it, so I'm not waiting for something very new. My main point is perhaps having more models available for free or inexpensive, and perhaps reducing the price of Opus 4.6, which I use a lot, but otherwise, I feel good with the features of the product as of now.

I've started using Windsurf, and my first invoice is dated more than one year ago, something like February 25.

Windsurf is stable.

Windsurf's scalability is good, but as I am a one-person company, I don't have any serious scalability issues.

I didn't have to contact customer support.

I was using Claude Desktop, the ancestor of Claude Code, but I switched to Windsurf because I was limited to Anthropic models, and Windsurf is more agile with AI models.

My experience with pricing, setup cost, and licensing is good; I prefer the price of Windsurf, but it would be better if there were more free or low-budget models offered.

I am just a regular customer of Windsurf's solution; I am not a partner or reseller.

I've seen a return on investment because the best return is that I can work on technologies I didn't use before, making it difficult to set a figure for it, but definitely, I can work on projects I wouldn't have done before.

My experience with pricing, setup cost, and licensing is good; I prefer the price of Windsurf, but it would be better if there were more free or low-budget models offered.

Before choosing Windsurf, I evaluated Claude Desktop.

I would rate Windsurf a nine on a scale of one to ten. I choose a nine because it's always perhaps the offering in low-budget models that prevents a perfect score. I recommend Windsurf to others looking into it; I tell my friends they can start using it with the free models such as SWE 1.5, which is quite good, even if it's free, and later switch to a more expensive model when they have a real project. My overall review rating for Windsurf is nine.

My main use case for Windsurf is for coding, so this functions as an IDE, similar to a fork of Visual Studio Code, and it aids us in code development.

I appreciated that Windsurf had the same features as Visual Studio Code because it is a fork, so switching was seamless.

The best feature Windsurf offers is that it increases the speed of development, especially for repetitive tasks such as refactoring boilerplate. It is integrated with the terminal, so we can use AI features in the terminal. For example, if there is no module found, you can ask it, and it has deep context, so it can read your project and learn on its own if you ask it. It allows AI to act as an agent, which can see that some tests failed or check the terminal output and suggest fixes and apply them. It can edit multiple files, which is really valuable compared to chat mode in ChatGPT, which is much less capable.

Windsurf has positively impacted my organization by increasing the speed of development, which allowed us to prototype much faster and lowered the barrier of entry for developers. Junior developers can now be more productive, and it reduced context switching because you can ask AI something instead of leaving to search for answers online.

We use Scrum and we have noticed that story points per sprint increased by 30 percent on average per developer since adopting Windsurf.

Windsurf can be improved by using better models, especially state-of-the-art ones.

I have been using Windsurf for six months.

My advice to others looking into using Windsurf is to use the terminal and ask AI to debug terminal output rather than simply asking it to write code. Use your configuration from VS Code instead of setting it up from scratch. Windsurf is great technology, and this AI revolution is making me somewhat anxious about job security in the future, but currently, it is a great tool. I would rate this product 9 out of 10.

I have been using Windsurf for a few months now, mainly as part of my development and productivity workflow. During this time, I explored its capabilities for code assistance, faster debugging, and improving overall development efficiency. It has been particularly useful in speeding up routine tasks and helping me to focus on problem-solving rather than repetitive coding.

Our main use case for Windsurf is to make code changes and we are mainly focusing on development and productivity enhancement. We also use it to speed up coding, debugging, and understanding complex codebases, especially when working across multiple tools and systems. In my day-to-day work, I rely on Windsurf to generate code snippets, troubleshoot issues, and explain existing code logic.

Our main focus is generating code snippets, troubleshooting issues, and creating code logic. When dealing with errors or unfamiliar implementation, it helps quickly identify solutions and suggest improvements. This significantly reduced the time spent on debugging and research, allowing us to focus more on building optimization and workflows.

The best features in my experience include AI-driven code generation, which does not just autocomplete lines but understands the intent and can generate full functions and logic based on the context. Another standout feature is Cascade, an AI agent workflow tool. This allows the tool to handle multi-step tasks such as writing code, modifying files, and even running commands, almost like a junior developer assistant. I also find its deep codebase understanding and local indexing very powerful. It can analyze the entire project and give context-aware suggestions. Additionally, inline AI editing, built-in terminal support, and memory system make workflows smoother.

The feature I use the most is deep codebase understanding combined with AI code generation. It is incredibly helpful when working on existing projects or unfamiliar code because it can quickly understand the context and suggest accurate changes or additions. This saves a lot of time that would otherwise go into reading and figuring out the code manually. I also frequently use the code generation for writing functions, fixing bugs, or speeding up repetitive tasks. It helps me move faster without compromising quality. While Cascade is powerful, I use it more selectively for multi-step tasks.

One small but really valuable aspect I appreciate is how seamlessly it fits into the development workflow. It does not feel like a separate tool. I can interact with AI directly inside the editor without breaking my flow, which keeps productivity high. Another nice detail is its context memory. It remembers what I was working on and gives more relevant suggestions over time, so I do not have to repeat myself or re-explain things constantly. Additionally, the inline editing and quick fixes are very smooth. Instead of jumping between tools or rewriting code manually, I can apply changes instantly, which makes day-to-day development much faster and less disruptive.

The bigger improvement is faster development and debugging. Tasks that used to take hours, such as unfamiliar code or fixing issues, can now be done much quicker with AI assistance. We have also seen better efficiency and reduced repetitive work. Developers spend less time on boilerplate code and routine tasks and more time on solving real problems and improving systems. Another impact is faster onboarding. New team members can understand the codebase more easily with AI explanations.

We have seen around 30 to 40% reduction in development time for routine tasks such as writing boilerplate, debugging, and understanding existing code. Tasks that used to take hours can usually be done in minutes. We have also noticed a 20 to 30% decrease in debugging time since the AI helps quickly identify issues and suggest fixes, reducing trial and error efforts. Overall developer efficiency has improved by 25 to 35% as less time is spent on repetitive work and more on actual problem-solving. Additionally, new developers can become productive much faster, around 30% quicker, by using it to understand the codebase.

Overall, Windsurf is a powerful tool, but one key area is the accuracy and consistency of suggestions. While it is very helpful, sometimes the generated code or fixes need manual validation, especially for complex or production-level logic. Another improvement would be better control over AI actions, especially in agent workflows like Cascade. More transparency and fine-grained control would help developers trust and use it more confidently in critical tasks. Performance can be improved slightly.

One area for improvement is around context limits and memory handling. Sometimes when working on very large codebases or long sessions, the context can feel limited. Improving how it retains and prioritizes context would make suggestions even more accurate. Another area is documentation and onboarding guidance. Since Windsurf is a relatively new tool, having more structured documentation, best practices, and real-world examples would help teams adopt it faster. Additionally, enterprise-level controls could be enhanced, such as better security, audit logs, and usage tracking.

One additional area for improvement is offline and limited connectivity support. Since Windsurf relies heavily on AI capabilities, having a more robust fallback or partial offline functionality would be useful in restricted environments. Another point is the customization of AI behavior. It would be great to have more control over how the AI responds, such as tuning it for specific coding standards, project styles, or team preferences. Additionally, integration with more developer tools and ecosystems could be expanded. While it already fits well into the workflow, deeper integrations with CI/CD pipelines, issue tracking, and monitoring tools would make it more powerful.

I have been working for the past two years in my current field.

Windsurf is stable.

Scalability is very good. As of now, we have a team of 50 developers where we provided Windsurf to all of the teams and they are using it very well. When it comes to scalability, it is very easy for the integration as well. Windsurf is scaling very nicely.

Customer support is very good. Whenever we have any query, we can raise a simple ticket and the following up is very nice.

Onboarding is quick and straightforward.

We are using GCP.

From a practical standpoint, the biggest ROI comes from time savings and faster delivery. We have seen around 30 to 40% improvement in developer productivity, which directly translates into quick feature releases and reduced development cycles. This aligns with industry insights showing AI coding agents significantly improve speed and efficiency. We have also reduced development cycle time by 20 to 25% and increased throughput by 12%. The developer time saved with AI assistance handling repetitive tasks is also notable. The ROI is visible through faster feature delivery, reduced manual effort, improved developer productivity, and better utilization of the engineering team.

The pricing is fair and flexible. It offers a free tier which is great for getting started and testing the tool without any upfront cost. The Pro plan is around 15 dollars per month which includes access to premium models. It is very minimal since it is a cloud-based tool and does not require any infrastructure or heavy installation.

Overall, Windsurf is a very good tool for engineering productivity and coding sessions. It also enhances the time productivity of the SRE as well. Windsurf is a very good tool to work with.

It is a powerful tool for handling repetitive tasks so that the engineer can focus more on high-value work such as system design and optimization. Tools such as Windsurf even provide analytics to track time savings and productivity improvements across the team. Making Windsurf a part of your team is a good investment. I gave this review a rating of 8 out of 10.

My main use case for Windsurf is creating scripts that move data from Python scripts to transfer data from Teradata to Snowflake. I also used it for automating all the data loading processes, which pull data from the landing area of the data warehouse and push it to the integration layer. From there, it schedules an email to create a report from those integrated data, creates a view on a different semantic layer, and generates a chart—either a pie chart or bar chart report—to send to required stakeholders.

I have two other cases with Windsurf. The first one is an AI chatbot that we are in the process of building with the help of Windsurf. Basically, that will connect to Tableau.

The best feature Windsurf offers is the ability to plan the job or task first and then create an executable model. This gives us a clear picture of what I am going to do, what I will receive, what the outcome will be, and how it can benefit the end user.

The planning and executable model feature helps my team day to day by saving a lot of rework. Most of the time when you ask a particular question to Windsurf, you miss bits and pieces of where to begin and what to end, and what to skip and what to add. However, during the planning phase, you can collaborate with Windsurf to make your plan accurate. When execution happens, you get the desired result without going through the rework of returning to planning after getting the result. It breaks that chain. If your planning is perfect, execution does not need a lot of rework.

Windsurf has positively impacted my organization by helping us achieve at least ten to twenty percent improvement for each individual working in the data warehouse to use Windsurf instead of looking for help from any other team. For example, if a business stakeholder wants to get data about any report or any updates about any report, instead of asking a resource for an update, a business user can ask Windsurf to look into the tables and provide the report. This reduces the dependency on the front-end reporting team.

Windsurf can improve by making sure to ask the user if they are talking about the same context where the request started. Request number one might be related to creating a report, and request number two might be related to writing an email. Usually, Windsurf mixes those two requests because it does not ask the user if they are talking about the email or the first request. Windsurf takes it by default that both requests are related and continues. This sometimes creates rework.

I have been using Windsurf since one and a half years ago.

Windsurf is stable.

Windsurf's scalability is quite good. I think we went from a few hundred users to maybe four to five hundred users in our organization. There was no glitch or any issues while scaling across two different time zones and two different organizations.

I do not have any insight on customer support. However, whenever licensing is required, we always got a quick response from them. I am not directly involved in the communication with Windsurf support.

We have not used any other solution before now. Windsurf is our first starting point for AI.

At this point, I am not in a position to share the metric on return of investment. However, I can tell you right now the return of investment is mostly based on time and some part of money saved. At the employee level, we have not yet reached the point where we can purely say that we have actually gotten returns from Windsurf instead of an employee.

I do not have a clear understanding of how Windsurf pricing is set up in my organization. I am not part of the committee which took care of licensing across the organization. Right now, I think Windsurf is costing our organization differently than it started. We initially went with a bulk buy where the entire organization was available to use. Now it is ADFS login related, so every user can see their own number of ACUs, hours used, resources used, or credits used by Windsurf.

I am not in a position to give this answer because I am not a leader who decided on Windsurf. There might be a team which went through many other tools and compared them with Windsurf. That was my organization's management decision.

I give Windsurf a nine out of ten because you get automation done by Windsurf all the time. Not only automation, but whether writing an email, writing a document, or creating detailed information, it gives you detailed insights. I deducted one point because of the rework and training that needs to be provided to the Windsurf agent to make sure it is useful for your job. I feel a nine is already a very high number.

I can advise that Windsurf has almost all the available agents, starting from Claude or any other AI tool or AI LLM model being used. We have the highest level of agent to the lowest level of agent which can help you in day to day activity, whether writing an email, looking into PDF files, looking into an Excel sheet, or creating a Python script. Windsurf has a vast variety of AI models available, and that gives a lot of flexibility and cost savings.

My overall rating for Windsurf is nine out of ten.

My main use case for Windsurf is coding, unit test case creations, and debugging for front-end Angular. For debugging in Angular, if I need to check the code with issues, template issues, or any lint issues, I can ask Windsurf to check the specific file or related things, and it analyzes and provides me the solution. For unit test cases, I will ask Windsurf to create that test case for a specific file or function.

I find that Windsurf is a good tool to use, as it automates many things in coding, development, and analysis. Windsurf offers features such as auto suggestions. When comparing Windsurf's auto-suggestions to other tools I've tried, I notice that a few suggest irrelevant content or don't match the syntax, while Windsurf analyzes the code and provides suggestions that match the code or functionality accurately.

Windsurf is a good tool that everyone can use, as it has many features that reduce the time required for coding. Windsurf positively impacts my organization by reducing the efforts required to depend on more critical technologies, as it provides everything within itself and offers many latest technologies. Both time and productivity are saved by using Windsurf, making it a recommended tool.

Windsurf can improve its analytical solutions and inbuilt features, as I currently have a dependency on external third-party tools that could be introduced into Windsurf itself to reduce that time or dependency. The only improvement needed for Windsurf is to reduce dependency on third-party tools.

I have used the solution for around ten months.

Windsurf is almost stable.

Windsurf's scalability is almost good.

I hear that Windsurf's customer support is good, but I haven't reached out to customer support since I haven't faced many issues.

Before Windsurf, I used GitHub Copilot as another solution.

I see a return on investment with Windsurf, as it reduces effort and allows for a decrease in the number of developers needed.

The pricing, setup cost, and licensing for Windsurf depend on the customer only and are not specific to developers, as this is decided by management and upper teams.

I evaluated other options such as GitHub Copilot before choosing Windsurf.

Windsurf is already in development and is almost fully developed, and it keeps improving. For those looking into using Windsurf, I advise them to understand all the features that can be utilized in Windsurf, which reduces their effort and time. Everything is good with this interview, and all questions are relevant to the feedback. I would rate this review experience a 9 out of 10.

I have been using Windsurf for two years. My main use case for Windsurf is code building. I use Windsurf for code building on a day-to-day basis. We started with Windsurf as the first platform we used for Agentic coding.

Windsurf offers an easy place to engage with LLMs inside an IDE. What I find most valuable about engaging with LLMs inside the IDE is both the speed and the integration.

Windsurf has positively impacted my organization by allowing us to experiment and adopt Agentic coding practices before major platforms such as VS Code, Bard, and Codex jumped on board. It was one of the first that allowed us to use whatever LLMs we wanted inside an IDE to write code, and so it was where we started our frontier two years ago. Since adopting Windsurf, I have been able to downsize my staff and increase my output by 5x.

Windsurf needs to be improved because the entire coding harness needs to be rethought. We need a bigger IDE that is outside of what just a VS Code fork is at this point in time. To do that, we need something different. What that is, I'm not certain, but things such as inboxing models and inboxing on different tasks are needed. One of the big things that I'm using right now is Conductor.build, which satisfies a lot of these boxes, but even that doesn't feel total because what Windsurf has now is just the table stakes of what it is to be in Agentic coding.

I wish Windsurf would break down things to using things that we're used to and take us away and abstract away from the codebase more. I don't review code; I don't look at code anymore. My team members don't look at code; I have agents that review code, and that needs to be part of the UI. Looking at code is now almost obsolete.

Windsurf is stable.

Windsurf's scalability is fine.

The customer support for Windsurf is good.

Prior to Windsurf, we were using GitHub Copilot because it was the only possible AI solution around coding at that point. However, that game has significantly changed over the last few years.

I have seen a return on investment; I was able to reduce my staff, and I've watched my shipping metrics increase by 5x.

My experience with pricing, setup cost, and licensing is fine.

Before choosing Windsurf, we looked at Cursor and we looked at GitHub Copilot.

My advice to others looking into using Windsurf is to think big and dream big. I appreciate Windsurf and where it was before it was acquired by Droll and Antigravity came out. We just need to think bigger about the IDE and change the developer experience. I have rated this review an 8.

For any product development or proof of concept and minimum viable product development, I utilize Windsurf as my base IDE to create the projects, to establish version controlling mechanisms and tracking mechanisms, and to add extensions that I can use for building my whole product and for my ease of understanding the project as well.

I created one project named Kilt Kidney Health Care AI based assistant chatbot, and in this chatbot, I had to create three facets of the product. The first is report generation, which is an AI-assisted report in my regional language combined with English. This allowed me to create the whole AI aspect into the product where Windsurf provides me with the whole architecture based scenario in dark mode. Cascade itself gives an option of Sonnet model or Claude Sonnet model. This utilizes my whole power of what I want to build for kidney patients and for the doctor for whom I have taken this project. The second part was generating specific chatbot questions from the particular report, so FAQs could be asked as well. This second layer was orchestrated again inside Windsurf, and the third was to create their whole website. All of these things made Windsurf very useful and very smooth to integrate all of my views and my project architecture was perfectly balanced in what the backend, frontend, and DevOps architecture needs to be integrated. Everything was handled perfectly within my team and the version control mechanism was also perfect enough, behaving exactly as it should when relating different models integration with peer teams.

I have been utilizing Windsurf as my IDE for around one and a half years.

I am currently utilizing Cascade AI as well, which is integrated for users to integrate their code base and project structure folder to the AI agent, which can be a good option to integrate how the agentic mechanisms are evolving towards building the project structure in Windsurf.

Cascade is the best feature I have found currently within different models and their memory storage. I can also try to add voice conversation between the AI and the user, which gives the flexibility to convey my views instead of writing them out and wasting my time.

Whenever I have any kind of problem statement, bug fixing, or debugging that I want to do, I just ask Cascade to look at my particular file which includes all of my integration of code in different languages, whether it is front end or back end. I ask it to check out a bug, do the fix, or even if I want to look out for any terminal issues, I just paste the terminal issue and it will look out for the codes and try to rectify the solution. That is the best feature that Cascade is currently doing. With voice conversation, I can convey my thoughts of what I want to build or what I want to fix. If it is a hotfix, bugfix, or any kind of software development process that I want to integrate, Windsurf works effectively with it.

Another tool I have used is Antigravity. Antigravity is doing deep research with its own agentic based architecture. Currently I am not seeing Windsurf to have deep research capability for any of the products. Its web search capability is not as powerful as other tools are currently performing in the Cascade scenario. A third thing I want to look out for is that its coding capability is not as fast and high as Claude code works out with, and it does not have any kind of articulation of taking the whole output by linking your terminal with Cascade. Antigravity provides that feature. In Antigravity, I can just click on the at rate sign on the terminal that will approach your whole terminal towards your AI agent and I can check the responses of output, what needs to be fixed out, what issues came, or whatever problems need to be solved. If Windsurf can do all these things, it can be the best option as well, as it is very smooth and flexible compared to Antigravity, but these features are currently lacking.

Additional sub agentic mechanisms could be added if solutions could be integrated or if there is capability to work out with multi-agentic based mechanisms by chaining out the thoughts of process.

I have been using the solution for about one and a half years.

Windsurf is stable.

Windsurf has scalability capabilities.

Customer service has been very good.

I was using VS Code. At that moment, even with the growing power of VS Code, I was not utilizing good capability of Copilot itself there and the coding structure was not as perfect as what I checked out with Cascade's Claude Sonnet model and Opus model. So I jumped from that to Windsurf.

The setup was very good. All the features of pricing, setup, costing, and licensing were perfect. Better solutions can be tried for adding subscription features. If not, there is a support team available to work out with.

My team was able to implement Windsurf.

Money and time have both been saved because we were utilizing a lot of time for bug fixing and solving troubleshooting issues. That time has now been reduced and on that regard, employees' time has been reduced as well, which has saved a lot of money. A lot of time has also been saved.

Another tool that I have used is Antigravity. Antigravity is doing deep research with its own agentic based architecture. Currently I am not seeing Windsurf to have deep research capability for any of the products.

I would recommend others to utilize these features and I will try to compare it with other tools. Antigravity can jump out in more responses than Windsurf itself in some instances, but Windsurf works good enough normally for any project architecture.

My overall rating for Windsurf is eight out of ten.

My main use case with Windsurf is having the ability to support different models while writing content and while using the cascade window. Whenever I ask questions on the cascade window, it has the privilege to use different models such as Gemini AI, Claude, Claude Sonnet, and ChatGPT. This is one of the best use cases.

If I am not satisfied with the current result, I can change the model to another one. This has enhanced my workflow and error resolution in a couple of seconds.

Windsurf provides next word prediction when I write content for the first time and am drafting an article. The side cascade window helps me to dive deeper. I have been using Docusaurus as a platform for publishing our product documentation and API documentation. When I configured Docusaurus from scratch, Windsurf helped me solve errors I encountered while developing the Docusaurus platform, particularly with CSS and config parameters. It also helps me write content in a more impressive form.

The prediction feature of Windsurf saves my time. For repetitive tasks, such as deleting sentences and adding exclamation marks, quotes, or code blocks, it provides assistance. Windsurf is an interactive IDE with different kinds of themes that I can change based on my preferences, and it has a right side cascade.

Since I am the only writer in my current company, Windsurf helps me improve my productivity and write first drafts using the predictive answers and GenAI features. My productivity has improved significantly because I can have a first draft ready within thirty minutes when I start using the prediction features from Windsurf. Once the first draft is ready, it goes for review, gets refined, and is published on the website after reviewers approve it.

Windsurf sometimes exhibits hallucination behavior. I encountered a use case recently where I wanted my code blocks in black color. When I asked a question, Windsurf did not identify the exact problem but directly edited the CSS file to implement the black color feature. However, I discovered that the black color could be applied through the theme feature instead.

From an accuracy perspective, Windsurf sometimes hallucinates and deviates from the expected results. If there are improvements needed for Windsurf, one possibility would be to connect Windsurf to Slack channels so the context can be improved.

I have been using Windsurf for around one year.

Windsurf is stable.

Windsurf's scalability is good. On a scale of one to ten, it is around eight.

I have not used Windsurf's customer support yet. However, if I get stuck on anything, I will definitely go for it.

Before choosing Windsurf, I evaluated other options such as Cursor and Microsoft Copilot. Cursor has a pricing model that hits a limit after completing some questions.

The advice I would give to others looking into using Windsurf is that if they are developers, I would help them with the initial setup.

I rate Windsurf a nine out of ten. Sometimes it exhibits hallucination, so it gives ninety percent accuracy when it provides a correct answer, but sometimes it is less than fifty percent. I chose nine out of ten for Windsurf because of the hallucination it sometimes produces when asking questions. That one point is deducted because of the accuracy point of view. The advice I would give to others looking into using Windsurf is that if they are developers, I would help them with the initial setup.