Our main use case for Windsurf is accelerating the development for all the client projects that we handle, especially when we are building websites, AI agents, and automations. For example, when we need to create a landing page or a workflow for a client, we use Windsurf to quickly generate and refine the code, test ideas faster, and then reduce the time spent on repetitive development tasks. We majorly use Windsurf to speed up the coding for client work and especially for all the websites that we design day in and day out. For the AI agents and automation projects, we use it extensively.
Senior Developer at a healthcare company with 10,001+ employees
Real User
Top 10
May 5, 2026
My main use case for Windsurf is developing various microservices in our domain, which are Java Spring-based microservices. I use Windsurf for generating code, writing unit test cases, and suggesting project creation from scratch, such as for Spring Boot. Moreover, we work heavily on the SQL side, where we frequently encounter slow-performing SQLs. I tune and fine-tune the SQLs with the help of Windsurf, and it gives good results to us. Regarding my main use case with Windsurf, we try to adopt CI/CD as part of our current work protocol. We had an old repository of thirty to forty modules that needed to be migrated to CI/CD by updating the pom.xmls and the Jenkins build files, which involved very repetitive work that developers needed to do manually. I took the help of Windsurf for this CI/CD integration for one module and asked Windsurf to replicate the same steps in all the modules by adding the build XML file and making changes in the build and deployment aspects. It very smoothly replicated all those files in all the modules and saved a lot of time on this manual effort.
QA Automatizador Enginner at a consumer goods company with 10,001+ employees
Real User
Top 20
Apr 30, 2026
My main use case for Windsurf is building end-to-end automation frameworks from scratch, which I primarily use in my work environment. I also use it to build personal projects, create and debug test cases, particularly automated ones, and I am currently exploring agentic QA architectures with multi-agent systems, which I have really enjoyed. I can give you a concrete example of how I have recently used Windsurf in one of my automation projects. I have used it in its different working modes, whether Chat, Code, or Plan. These modes have really allowed me to transform my workflow. For example, Plan mode helps me design the architecture of complex solutions before implementing any automation in either of my two work projects and also in my personal projects. Chat mode lets me ask questions about what is going on with the code and allows me to do quick debugging sessions, which I have really appreciated. At the Code level, the fact that it generates code for me much faster, so that I only have to review and orchestrate, has been one of the things I have liked the most. I also find it very beneficial that I can use MCP to enhance my automation flows, such as Maestro MCP and Playwright MCP, which I currently use.
My main use case for Windsurf is building and iterating on AI-driven products faster, especially when working with multi-file codebases and agent-style workflows. At Ser AI, I use it heavily for exploring and understanding large codebases quickly, generating and modifying features across multiple files, debugging with context-aware suggestions, and prototyping AI workflows such as agents, memory systems, and integrations. What I appreciate is that it is not just autocomplete; it actually understands project-level context, so I can move faster from idea to working feature. A recent example of where Windsurf helped me in my workflow was while I was working on an AI-driven feature in Ser AI where I was building an agent workflow that connects multiple parts of the system such as API calls, prompt handling, and response processing. Normally, this would involve jumping across multiple files, understanding existing logic, and stitching everything together manually. Getting back to work after long breaks always means losing context, which is when I use Windsurf so much to understand existing logic and stitch everything together. With Windsurf, I was able to quickly understand how different parts of the codebase were connected, generate and modify logic across multiple files, and debug issues with more context instead of isolated snippets. One specific moment was when I had to refactor how data was flowing between components; instead of rewriting everything manually, I used Windsurf to restructure the logic end to end, and it saved a lot of time. Overall, it helped me move faster from idea to working implementation, especially for complex multi-file changes. In my day-to-day work, the biggest difference is speed at the system level, not just coding speed. Building a feature means understanding the codebase, writing logic, wiring things together, testing, and fixing. With Windsurf, especially using Cascade, a lot of that becomes one continuous flow. For example, when I add a new API flow or connect to front-end logic and update response handling, I can describe the intent, and Cascade actually executes changes across multiple files. I can give it prompts without typing, so it feels I am delegating a task instead of manually doing every step. That is where it stands out in daily work. I spend more time thinking about architecture and less time jumping between files. Browser-based testing has been useful when I am working on flows that involve UI and back-end together. Instead of writing code, switching to browser tests manually, and coming back to fix, I can stay in one loop where I build the feature, test behavior quickly, and identify issues faster, reducing context switching, especially when validating end-to-end flows. The real impact in workflow is faster iteration cycles, less manual glue work between components, and better focus on logic and product decisions. One important observation is that when working across longer sessions or switching models, sometimes the deeper context does not persist perfectly, so I have to realign the intent again. At Ser AI, the biggest positive impact of Windsurf has been on speed of execution and iteration. Since we are building AI-driven features and experimenting on the creator marketing side, the ability to go from idea to working prototype quickly is critical. Windsurf, especially with Cascade, has helped us reduce the time it takes to build and ship features, handle multi-file changes without slowing down, and iterate faster on experiments. One clear outcome is that features that would normally take a couple of days to wire up end to end can now be done much faster because a lot of the repetitive glue work is handled. It also improves how we approach problems by breaking things down into very small coding tasks; we think more in terms of complete flows or systems because we know the tool can handle the level of execution. Another impact is onboarding and understanding the codebase. When jumping into a new part of the system, Windsurf helps quickly understand how things are connected, which reduces ramp-up time. The overall outcome is more experimentation in less time and better focus on product and logic instead of boilerplate work.
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.
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.
Senior Software Developer at a computer software company with 501-1,000 employees
Real User
Top 10
Mar 23, 2026
I am using Windsurf for generating unit test cases for my code and to improve my code, improve functionality in that code, and mostly I'm using it for coding purposes to generate new code. For generating unit test cases, I am working on an MVC application, so there were many action methods in my application, and I generated the unit test cases for those action methods using Windsurf. I asked Windsurf to generate the unit test cases for those methods. In my main use case for Windsurf, I sometimes ask it to optimize my code, as there were some performance-related glitches in the code, so I asked Windsurf to improve those.
My main use case is to build the development product that I am working on, so I used Windsurf to build 90% of my features. I used the agent present in Windsurf and prompted it to explain my feature, after which Windsurf ensured the feature was being completed. If the output was not optimized, I asked Windsurf to optimize it again. I have built a platform that helps users create no-code AI agents, where users can simply come and create AI agents. In addition to this, we also provide an API. Using that API, we call multiple LLM providers. Using Windsurf I was able to create the backend of this product. I made a common middleware using which for every different payload, Windsurf is able to convert the current payload into that particular service provider payload and we can call the particular provider. For our users, the user only has to send one payload and we can call any model or any service they want. We are not restricted to a particular payload. This way, we created a proper robust solution.
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.
AI Consultant at a tech vendor with 10,001+ employees
Real User
Top 20
Mar 18, 2026
Windsurf's main use case for me is to generate skills and create supporting files and scripts for those skills so that it can generate Selenium test scripts and also generate reports from performance logs. A user would input performance logs and receive an analysis of those logs as an HTML report at the end. In a recent project, I created a skill that contained all the regex patterns and search patterns a user must use to get the right information from a large HTML log file containing performance testing logs. I also created a Python script and added it into the skill, mentioning in the skill.md file to use this Python file to extract certain information. It performed its own checklist and then provided an HTML report as the output.
My main use case for Windsurf is writing code with AI solutions and refactoring existing code. A quick specific example of a task or project where I have used Windsurf for writing or refactoring code is for stability. It has very stable cloud-based deployment, and the best feature is that it can modify multiple related files intelligently, plus inline edits where I can chat with AI or directly edit inside code. The AI chat and in-line editing help my workflow because whenever I am writing a few lines of code, Windsurf provides the ability to generate and modify specific portions of the code that I can type by natural language. I can highlight a block of code and then give it a prompt, and it automatically generates the new code at the cursor location.
Angular Developer at a computer retailer with 51-200 employees
Real User
Top 10
Feb 2, 2026
I have been using Windsurf for two years, and it was my first AI tool for tab code completion and code suggestion. My main use case for Windsurf is typically using it for Angular code refactor or repetitive code, and for my code, it is very good for RxJS pipeline. I use it mostly for tab completion, code suggestion, and if there is any error in my code, I can easily send it to Windsurf Chat, and it gives me the fix for the bugs and issues in my TypeScript and Angular code. I can give a quick specific example of how Windsurf helped me; it assisted me when I was migrating my Angular app from NG modules to standalone modules. I had a really difficult time giving my code to ChatGPT, but with Windsurf, I easily provided the file references, and it helped me fix the architecture-wise and structure-wise issues in app.modules, allowing me to refactor it efficiently.
I have been using Windsurf off and on for the last year. My main use case for Windsurf is for software development. Currently, we're working on an API, and Windsurf will help us develop a particular feature so we can enter a prompt and it executes. As we're developing features, Windsurf fits into my workflow day to day.
Lead Software Engineer at a tech vendor with 10,001+ employees
Real User
Top 20
Dec 2, 2025
My main use case for Windsurf is for development while coding. Whenever we have Jira stories or anything, such as a bug fix, we go and ask Windsurf to work on it.
I have been using Windsurf for quite a long time, approximately four to five months. In my prior company, Windsurf was used, and in my new company, we also implemented Windsurf. For my personal use, I was using Windsurf Personal. I have been a thorough user for three to four months completely. For example, if you have any software development project or any product requirement for which you need to build a SaaS solution, app, or back-end services, and you need to generate the code and ship it off quickly, you can use the Windsurf agent and IDE to provide commands using natural language, in English, just as humans speak, to its own agent. It would generate, go through your existing codebase, make recommendations, modify the existing codebase, and enhance productivity.
Windsurf offers a strategic approach to digital transformation, providing tools for optimizing processes. It's aimed at businesses looking to enhance efficiency and adapt to changing market demands through technology-driven solutions.Targeted at enterprises, Windsurf integrates seamlessly with existing systems to improve workflow and data management. By offering customizable options, it meets diverse business requirements, enabling companies to stay competitive in a fast-paced environment....
Our main use case for Windsurf is accelerating the development for all the client projects that we handle, especially when we are building websites, AI agents, and automations. For example, when we need to create a landing page or a workflow for a client, we use Windsurf to quickly generate and refine the code, test ideas faster, and then reduce the time spent on repetitive development tasks. We majorly use Windsurf to speed up the coding for client work and especially for all the websites that we design day in and day out. For the AI agents and automation projects, we use it extensively.
My main use case for Windsurf is developing various microservices in our domain, which are Java Spring-based microservices. I use Windsurf for generating code, writing unit test cases, and suggesting project creation from scratch, such as for Spring Boot. Moreover, we work heavily on the SQL side, where we frequently encounter slow-performing SQLs. I tune and fine-tune the SQLs with the help of Windsurf, and it gives good results to us. Regarding my main use case with Windsurf, we try to adopt CI/CD as part of our current work protocol. We had an old repository of thirty to forty modules that needed to be migrated to CI/CD by updating the pom.xmls and the Jenkins build files, which involved very repetitive work that developers needed to do manually. I took the help of Windsurf for this CI/CD integration for one module and asked Windsurf to replicate the same steps in all the modules by adding the build XML file and making changes in the build and deployment aspects. It very smoothly replicated all those files in all the modules and saved a lot of time on this manual effort.
My main use case for Windsurf is building end-to-end automation frameworks from scratch, which I primarily use in my work environment. I also use it to build personal projects, create and debug test cases, particularly automated ones, and I am currently exploring agentic QA architectures with multi-agent systems, which I have really enjoyed. I can give you a concrete example of how I have recently used Windsurf in one of my automation projects. I have used it in its different working modes, whether Chat, Code, or Plan. These modes have really allowed me to transform my workflow. For example, Plan mode helps me design the architecture of complex solutions before implementing any automation in either of my two work projects and also in my personal projects. Chat mode lets me ask questions about what is going on with the code and allows me to do quick debugging sessions, which I have really appreciated. At the Code level, the fact that it generates code for me much faster, so that I only have to review and orchestrate, has been one of the things I have liked the most. I also find it very beneficial that I can use MCP to enhance my automation flows, such as Maestro MCP and Playwright MCP, which I currently use.
My main use case for Windsurf is building and iterating on AI-driven products faster, especially when working with multi-file codebases and agent-style workflows. At Ser AI, I use it heavily for exploring and understanding large codebases quickly, generating and modifying features across multiple files, debugging with context-aware suggestions, and prototyping AI workflows such as agents, memory systems, and integrations. What I appreciate is that it is not just autocomplete; it actually understands project-level context, so I can move faster from idea to working feature. A recent example of where Windsurf helped me in my workflow was while I was working on an AI-driven feature in Ser AI where I was building an agent workflow that connects multiple parts of the system such as API calls, prompt handling, and response processing. Normally, this would involve jumping across multiple files, understanding existing logic, and stitching everything together manually. Getting back to work after long breaks always means losing context, which is when I use Windsurf so much to understand existing logic and stitch everything together. With Windsurf, I was able to quickly understand how different parts of the codebase were connected, generate and modify logic across multiple files, and debug issues with more context instead of isolated snippets. One specific moment was when I had to refactor how data was flowing between components; instead of rewriting everything manually, I used Windsurf to restructure the logic end to end, and it saved a lot of time. Overall, it helped me move faster from idea to working implementation, especially for complex multi-file changes. In my day-to-day work, the biggest difference is speed at the system level, not just coding speed. Building a feature means understanding the codebase, writing logic, wiring things together, testing, and fixing. With Windsurf, especially using Cascade, a lot of that becomes one continuous flow. For example, when I add a new API flow or connect to front-end logic and update response handling, I can describe the intent, and Cascade actually executes changes across multiple files. I can give it prompts without typing, so it feels I am delegating a task instead of manually doing every step. That is where it stands out in daily work. I spend more time thinking about architecture and less time jumping between files. Browser-based testing has been useful when I am working on flows that involve UI and back-end together. Instead of writing code, switching to browser tests manually, and coming back to fix, I can stay in one loop where I build the feature, test behavior quickly, and identify issues faster, reducing context switching, especially when validating end-to-end flows. The real impact in workflow is faster iteration cycles, less manual glue work between components, and better focus on logic and product decisions. One important observation is that when working across longer sessions or switching models, sometimes the deeper context does not persist perfectly, so I have to realign the intent again. At Ser AI, the biggest positive impact of Windsurf has been on speed of execution and iteration. Since we are building AI-driven features and experimenting on the creator marketing side, the ability to go from idea to working prototype quickly is critical. Windsurf, especially with Cascade, has helped us reduce the time it takes to build and ship features, handle multi-file changes without slowing down, and iterate faster on experiments. One clear outcome is that features that would normally take a couple of days to wire up end to end can now be done much faster because a lot of the repetitive glue work is handled. It also improves how we approach problems by breaking things down into very small coding tasks; we think more in terms of complete flows or systems because we know the tool can handle the level of execution. Another impact is onboarding and understanding the codebase. When jumping into a new part of the system, Windsurf helps quickly understand how things are connected, which reduces ramp-up time. The overall outcome is more experimentation in less time and better focus on product and logic instead of boilerplate work.
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.
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 am using Windsurf for generating unit test cases for my code and to improve my code, improve functionality in that code, and mostly I'm using it for coding purposes to generate new code. For generating unit test cases, I am working on an MVC application, so there were many action methods in my application, and I generated the unit test cases for those action methods using Windsurf. I asked Windsurf to generate the unit test cases for those methods. In my main use case for Windsurf, I sometimes ask it to optimize my code, as there were some performance-related glitches in the code, so I asked Windsurf to improve those.
My main use case is to build the development product that I am working on, so I used Windsurf to build 90% of my features. I used the agent present in Windsurf and prompted it to explain my feature, after which Windsurf ensured the feature was being completed. If the output was not optimized, I asked Windsurf to optimize it again. I have built a platform that helps users create no-code AI agents, where users can simply come and create AI agents. In addition to this, we also provide an API. Using that API, we call multiple LLM providers. Using Windsurf I was able to create the backend of this product. I made a common middleware using which for every different payload, Windsurf is able to convert the current payload into that particular service provider payload and we can call the particular provider. For our users, the user only has to send one payload and we can call any model or any service they want. We are not restricted to a particular payload. This way, we created a proper robust solution.
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's main use case for me is to generate skills and create supporting files and scripts for those skills so that it can generate Selenium test scripts and also generate reports from performance logs. A user would input performance logs and receive an analysis of those logs as an HTML report at the end. In a recent project, I created a skill that contained all the regex patterns and search patterns a user must use to get the right information from a large HTML log file containing performance testing logs. I also created a Python script and added it into the skill, mentioning in the skill.md file to use this Python file to extract certain information. It performed its own checklist and then provided an HTML report as the output.
My main use case for Windsurf is writing code with AI solutions and refactoring existing code. A quick specific example of a task or project where I have used Windsurf for writing or refactoring code is for stability. It has very stable cloud-based deployment, and the best feature is that it can modify multiple related files intelligently, plus inline edits where I can chat with AI or directly edit inside code. The AI chat and in-line editing help my workflow because whenever I am writing a few lines of code, Windsurf provides the ability to generate and modify specific portions of the code that I can type by natural language. I can highlight a block of code and then give it a prompt, and it automatically generates the new code at the cursor location.
I have been using Windsurf for two years, and it was my first AI tool for tab code completion and code suggestion. My main use case for Windsurf is typically using it for Angular code refactor or repetitive code, and for my code, it is very good for RxJS pipeline. I use it mostly for tab completion, code suggestion, and if there is any error in my code, I can easily send it to Windsurf Chat, and it gives me the fix for the bugs and issues in my TypeScript and Angular code. I can give a quick specific example of how Windsurf helped me; it assisted me when I was migrating my Angular app from NG modules to standalone modules. I had a really difficult time giving my code to ChatGPT, but with Windsurf, I easily provided the file references, and it helped me fix the architecture-wise and structure-wise issues in app.modules, allowing me to refactor it efficiently.
I have been using Windsurf off and on for the last year. My main use case for Windsurf is for software development. Currently, we're working on an API, and Windsurf will help us develop a particular feature so we can enter a prompt and it executes. As we're developing features, Windsurf fits into my workflow day to day.
My main use case for Windsurf is for development while coding. Whenever we have Jira stories or anything, such as a bug fix, we go and ask Windsurf to work on it.
I have been using Windsurf for quite a long time, approximately four to five months. In my prior company, Windsurf was used, and in my new company, we also implemented Windsurf. For my personal use, I was using Windsurf Personal. I have been a thorough user for three to four months completely. For example, if you have any software development project or any product requirement for which you need to build a SaaS solution, app, or back-end services, and you need to generate the code and ship it off quickly, you can use the Windsurf agent and IDE to provide commands using natural language, in English, just as humans speak, to its own agent. It would generate, go through your existing codebase, make recommendations, modify the existing codebase, and enhance productivity.