My main use case for Windsurf is code correction. I use the multiple AI options available to create tests, review code, check photos on my computer, and address issues in Jira. I use Windsurf with MCP frequently.

I use Windsurf for code correction and task creation in cascading workflows. I have established rules and skills within the platform. One of my key skills is checking whether developers who create cases for issues write high-quality code. I request ratings and evaluate specific topics such as Hexagonal Architecture and Domain-driven Design.

Windsurf offers many AI options, feels intelligent, is stable, and appears to be growing as a company in a positive direction.

The best features Windsurf offers are that the IDE is built on a VS Code base, which I appreciate for its structure. I also use IntelliJ frequently because there is a Windsurf plugin available for it. I am not certain what is specifically unique to Windsurf because I do not have extensive experience with different IDEs to compare, but I feel comfortable with both the plugin and the AI.

Windsurf has definitely improved code quality and speed. However, it creates a situation where we have an excellent tool, but the real world is not yet prepared to receive this potential. There is much work to be done to bridge that gap.

I see the difference with Windsurf when I ask Claude, Opus, or GPT to evaluate code quality. Sometimes I see code rated six out of ten, and then I adjust it to a better rating. I still use my own judgment to verify this assessment and continue in that direction. I have to guide the AI in this process, but I see tangible results in reality.

Windsurf offers many AI options, feels intelligent, is stable, and appears to be growing as a company in a positive direction.

I noticed that on two occasions, the AI with Windsurf was not performing well. The AI seemed to malfunction for two days or even an entire week, and it was difficult to work through that period. I would say that Windsurf should improve its stability.

I remember having issues with Gemini, and sometimes I cannot use MCPs. I appreciate Windsurf, but I cannot use it sometimes because of MCP limitations, and I do not understand much about them. I choose a different option instead, but I should use it more frequently.

Graphics or something similar might be useful additions to Windsurf.

I have used Windsurf since June of last year, approximately ten months now.

I noticed that on two occasions, the AI with Windsurf was not performing well. The AI seemed to malfunction for two days or even an entire week, and it was difficult to work through that period. Windsurf should improve its stability.

I give Windsurf a rating of eight out of ten.

I rate it an eight because I feel there is room for growth, and I do not believe any tool deserves a perfect ten rating.

I would recommend that you try Windsurf because once you do, you will see that working with it is completely different from working without it. My overall review rating for Windsurf is eight.

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.

My main use case for Windsurf is for developing my college Capstone project. When I needed an AI tool that would help me with software development and guide me through everything with history records, I used it.

A specific example of how I used Windsurf for one of my college projects is that I was developing my project in React and then PHP, using PHP for the back end and MySQL for the database. I was constructing the application at my level with another AI tool like ChatGPT. I got stuck in between that. No other AI tool preserved the history completely and none worked properly or smoothly. When I gave two commands, they did not understand properly what I wanted to do. After getting stuck, I discovered Windsurf. Windsurf is an AI-powered IDE tool similar to VS Code. It is a replacement for VS Code, that kind of text editor. It works like VS Code but the AI is built in and does not help with just one word or one line. It will provide completely full code. So I can manage the project. I did not have to specify every detail each time I wanted something. I told them what kind of code I wanted and it understood, then generated that type of code. It can read multiple lines. I also use it so that if my code is in VS Code, then I can directly import or export from there.

Windsurf offers two best features: chat and text. We can chat through that component and write in different modes. It automatically generates code when we are chatting and explaining what we want in our project. First, it will understand and then the write mode type will think automatically. It will also ask us what features to add. It will redirect to the project directly if we allow access.

Windsurf has positively impacted my work, even as a student, as it is a time saver. It is best for saving time. If we do not know the full stack and only know about the front end, back end, or database, we can just give it the back end database and it will automatically handle the front end. Nobody knows everything, so it is a complete mentor. It is the best for beginners who do not know anything and want to build applications or projects, mapping their architecture and helping with both sides, as I mentioned, front and back end. It is super complete and fast. It also helps with error solving and HTML auto-learning.

I wish Windsurf would improve the free trial, as it is slow. As a student, I do not purchase much at a beginner level. Windsurf could improve by providing some features for beginners, such as two or three messages per day. Otherwise, it is perfect.

I have been working in my current field for almost two and a half months, as I am doing an internship.

Windsurf is stable for my project, and I have not encountered any crashes or reliability issues.

Windsurf's scalability is good, as it can handle larger projects or more users if needed. For my project, at least 10 to 15 users can use it, and it will create that kind of application.

I have not reached out to customer support, but I think it is the best because their features are the best, so customer support is also best.

I previously used mostly ChatGPT before Windsurf. I did not know some kind of solution at each level. Windsurf is a proper full-stack development tool. Whenever we do not know the proper thing, we can go in deep. Sometimes it does not give the proper answer, and we do not get what we want. Other tools do not understand sometimes. Windsurf is the best.

For my projects, I use Windsurf on my personal computer.

I have seen a return on investment using Windsurf, as it saves time. It absolutely creates value. As a student, for personal use, it occasionally costs something. We cannot purchase this kind of solution as students. However, as an organization, they can purchase it because it saves employee's energy and allows for more features because it will save time.

I did not have to give any money for it, so it is fully free, which is the best. I did not incur setup costs.

Before choosing Windsurf, I did not evaluate other options. I searched for other alternatives, but the first option was Windsurf, and I had the best experience, so I did not go through any other options.

My advice to others looking into using Windsurf is that if you are a beginner or a developer and want to save time, correct errors, or add features, it is perfectly great. You just have to use Windsurf and explore this product because it is excellent.

My company knows about the kind of features we want. We just give them a screenshot, and it will provide a fully complete full-stack development project. This kind of feature they have provided is perfect.

Windsurf is a fully magical platform where we can generate our fully complete full-stack application. We can create a basic dashboard with a sidebar, status page, and setting page using React or any other application. It will have multiple files created at once, with side-by-side effects, explaining what we have to review, accept, or reject individual changes. We also have undo-redo type of projects. It finalizes and auto-fixes errors and code. It is also affordable compared to any other products. I would rate this product an eight out of ten.

My main use case for Windsurf is to build our software, as our company has a software product and operational automations. I work in the software development team as well as in the automation team, so for both of those, I write code and use its agentic capabilities. We also use Cursor alongside Windsurf.

Recently, we had to create a presentation workflow where we have a reporting module in our product that includes a Google Slide-based presentation part. I used Windsurf to code the whole thing as the proof of concept, and I have continued using Windsurf extensively when coding.

Windsurf is not just a code editor for me. I really use its agentic features and the chat as well, and those are the main ways that I use Windsurf. I use it for normal coding and also for agentic workflows.

The best features Windsurf offers include code line suggestions through auto-completion and the coding agent, which tends to understand the whole codebase, which is a great point. Its speed is also good when compared to some of the other tools in the same category.

The coding agent understanding my whole codebase helps me day-to-day because if we need a feature done quickly, its understanding really helps. I only have to give it a minimal prompt, and it understands how things are done around here and just does it. Without that kind of understanding, I would need to mention the helper functions, models, repositories, and other details, but because it understands, it can pick how to do the work correctly without being incompatible with the other code.

Windsurf has positively impacted my organization by increasing productivity. Once we started using these AI-powered IDEs and code editors, our daily number of commits, the amount of code pushed daily, and release speeds have gone up at least by 200%. Developers can now work on a lot of business logic in a single day because of these AI agents, which has fastened our release cycles and improved our product performance.

The increase in release speeds and the amount of code pushed daily has gone up by 200% based on the number of commits and the amount of features we complete within a single release cycle.

Even though Windsurf has a good understanding of the codebase, sometimes when you ask it to do a complex task, it may complete it in the first try but may need improvements. When you prompt it again repeatedly, after the sixth or seventh prompt, it may start performing poorly. That is one of the key things I have noticed—its performance is not very consistent with continued prompts. Additionally, it sometimes hallucinates things. Although this previously happened a lot, it has improved, and now these checkers and linter functions ensure the code it writes is correct, reducing those hallucinations, but the performance inconsistency is still something I have noticed.

The UI is good as it is basically a Visual Studio fork, so it has a good user interface. Moreover, every Visual Studio integration works here, so all of those are good. One of the main issues is the agent hallucinating and the generations not being good; those are two main points.

I have been using Windsurf for the last 10 months.

Windsurf is stable in my experience, although occasionally the response times lag due to API availability and other factors. Other than that, it has been totally stable.

Windsurf's scalability is good. I believe it can handle growth effectively as our team expands or projects get bigger because it keeps the context of the codebase in a specialized, cached way. I have seen how it works in some videos, and if that is true, I think it can handle the growing number of codes and files in our codebase effectively.

We initially used GitHub Copilot, but it was not efficient and lacked most of the agentic capabilities it later developed. That is why we switched to Windsurf and Cursor.

Windsurf is deployed in my organization as a cloud SaaS, working on public cloud.

Windsurf has saved a lot of time, and productivity has gone up at least 200%. Those numbers are real and might be even higher. We have not been hiring anyone new for the last six months, possibly because of that. The scope of work has increased a lot, but we managed to keep up without hiring due to the power of these AI-powered coding agents like Windsurf and Cursor.

Our management set up Windsurf, but I do know they evaluated Google's Antigravity recently but chose not to go with it.

My advice for others looking into using Windsurf is to use it as an AI agent and a supportive tool, but not as a whole AI solution. Never accept everything it writes, as sometimes it can generate incorrect code, and it can hallucinate or produce harmful code. Always review everything, and although it saves time, spend a little more time refining it. The time you invest will save you a lot of trouble later. Try to understand how it thinks to give it context effectively, leading to better outcomes.