Windsurf Enterprise (AWS)

My main use case for Windsurf  was to create a website for the company.

A specific example of how I used Windsurf  to create the website is that we needed a simple landing page for the new company, which included just a few sections, a hero section, a few feature sections, and a form for contact.

This is the only project I used it for, and it was a test. We were trying to test AI tools to speed up our work since it was a small startup.

The best features Windsurf offers, from my experience back in early 2025, include being a prompt-based, LLM style app and website builder. I mostly used the prompt to create the website even though I can develop and program, as we were testing to see if we could create the website faster.

Windsurf positively impacted my organization during the testing phase as it was the first tool that we used, which was good to compare with other tools.

Comparing Windsurf to other tools helped shape our expectations because it was the first tool that we used, so we had nothing to compare to.

When I started using Windsurf, I had a worse experience compared to building using code, as I am very fast at building code and it gave me tons of errors that I needed to fix. So it was basically faster to code all over again than to use the prompt-based approach. I used it for a few days, and then we dropped it and used Lovable  instead.

The interface of Windsurf was quite easy to use, so I do not have a problem with the UI. However, the issue was that it gave me so many errors that took too long to fix, and it was hard to polish it because I spent so much time fixing the errors related to building what I wanted and also publishing.

If you ever bring back the prompt-based builder for Windsurf, then just make sure there are fewer errors coming up, as the experience was not bad; it just took too long to fix the errors. That is what I would improve.

I have been using Windsurf for about a year.

I would say Windsurf was 90% stable.

I do not know about Windsurf's scalability because we would not need more websites, but if you are building websites for clients, then I think if it did not have so many errors, we could scale. We would probably need to get a new plan, but I feel it could be scalable.

I did not previously use a different solution.

I did say it saved us about 10 hours of design time because, even though we did not continue with it, it helped us pin down and filter some of the things that we needed to decide on for the website.

My experience with pricing, setup cost, and licensing was that we used the free license back then.

Before choosing Windsurf, we evaluated both Lovable  and Windsurf.

I just joined Windsurf again because I used it a year ago for a few days and never used it again, but when I joined now to see what changes it had, I noticed that it seems like a completely different tool that is much more robust with a different goal now. I see a lot of potential and would try to use it again for its new purpose.

My advice to others looking into using Windsurf is that if you are looking for the tool that it was a year ago, it is just gone. It is a different tool now, but if your needs are more technical, involving code, then I would definitely check it out.

I am rating this review 5.

Regarding a specific example of how I use Windsurf , I engaged in a contextual conversation with the agent for a cross-cloud integration between AWS  and Azure , leveraging a hybrid approach between cloud and Grok  models to find the most cost-effective logic for the script. I provided the agent with the specific target environment, a virtual machine, and defined the deployment requirements. Windsurf helped me generate and refine the PowerShell script needed to bridge the two platforms, while ensuring the automation was optimized for performance and budget.

I use Windsurf to implement a lot of pipelines on GitHub Actions . I was working with the migration from Jenkins  on a legacy application, and Windsurf helped me significantly with this migration, debugging all the pipelines and aiding me substantially with CI/CD.

All of the team has started working with Windsurf. We use rules for all the team so we have a standard procedure for deployment. This has helped with the agile development of the team, and with another application such as Linear , working with issues and incidents.

We were deploying one time a week before we started working with Windsurf, and with Windsurf, we are succeeding in a maximum of five releases in a week.

Windsurf is built on VS Code, which is the industry standard. This is a huge advantage for me because it allows for a seamless transition. I can keep using all my essential DevOps extensions for Azure, AWS , and Kubernetes  without any compatibility issues. The user interface is familiar and high performance, meaning there is no learning curve. It feels like my professional environment, but with superpowers, thanks to the integrated AI Flow.

A standout moment was during a migration from Jenkins  to GitHub Actions , converting complex Jenkins files into GitHub Actions workflows, which is typically a tedious process. Using Windsurf AI Flow, I was able to point the agent to my existing Jenkins pipelines. The AI did not just translate the code; it mapped the logic across the entire codebase, identifying environment variables, secret management requirements, and build dependencies. It autonomously generated the new GitHub  workflow files and even suggested fixes for syntax mismatches that would have taken me hours to debug manually.

Windsurf is supporting MCP, which is an important standard for the integration with other tools. Most of the context tokens are consumed by documentation. We need a good structure for the agent to be optimized with this. Most of the time, our developers are wasting money because the agent does not save the context properly.

The tokens were fully consumed in the middle of the month. With the on-demand plan, we do not get extra tokens, so we have to downgrade our use of the agent models to a free one. When that happened, it increased the time of development because all the developers had to prompt the agents in a better way. However, that is more related to the decision on the plans. In five or six days, I consume all the tokens.

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.

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.

In my opinion, the best features Windsurf offers are limited, as I have not used much apart from generating the code, but I found it less intelligent than the other AI tools in the market.

Windsurf has positively impacted my organization by improving our code quality and reducing our development time.

I feel that Windsurf can be improved, as sometimes it keeps giving the same answer again and again, which makes me feel stuck at those points in time, because it is giving the same answer in a loop.

I think they should definitely improve Windsurf. My advice to others looking into using Windsurf is to work on your prompt skills, and if it gives the same answer again and again, try a new chat.

I have never had a chance to talk to Windsurf's customer support, as I never had any complaint about that.

I have been using Windsurf for one and a half years.

I would say that Windsurf is somewhat stable.

Windsurf's scalability could be better, but we need more engines to select.

I have never had a chance to talk to Windsurf's customer support, as I never had any complaint about that.

Currently, I see only two AI engines I can select for Windsurf: one is the base model and the other is Claude 3.7.

My advice to others looking into using Windsurf is to work on your prompt skills, and if it gives the same answer again and again, try a new chat.

I would rate this product a 6 overall.