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Prem AI vs Windsurf comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Sep 14, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Prem AI
Ranking in AI Software Development
26th
Average Rating
10.0
Reviews Sentiment
1.0
Number of Reviews
2
Ranking in other categories
AI Development Platforms (17th)
Windsurf
Ranking in AI Software Development
1st
Average Rating
8.2
Reviews Sentiment
5.4
Number of Reviews
40
Ranking in other categories
IDE (1st), AI Code Assistants (1st)
 

Mindshare comparison

As of October 2026, in the AI Software Development category, the mindshare of Prem AI is 0.4%. The mindshare of Windsurf is 0.6%, down from 24.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Software Development Mindshare Distribution
ProductMindshare (%)
Windsurf0.6%
Prem AI0.4%
Other99.0%
AI Software Development
 

Featured Reviews

reviewer2760291 - PeerSpot reviewer
Head of AI at a consultancy with 1,001-5,000 employees
Has accelerated AI solution development through automated evaluation and fine-tuning
Prem Studio allowed me to easily automate and solve the complicated problem of exploring and identifying the best AI architecture for our problems. Prem Studio has a straightforward yet powerful approach to evaluate disparate AI architectures on our business problems and to accurately fine-tune the most promising ones. This significantly reduced time-to-market, almost by a factor of ten in my case, for solutions tailored and optimized for customer requirements and KPIs.
DHARMA-TEJA - PeerSpot reviewer
Software Enginner at Sera AI
Feature workflows have become faster and context-aware development is now system-focused
Windsurf has become less of a tool and more of a core part of how I build. I do not think in terms of writing code line by line anymore; I think in terms of features, flows, and systems, and Windsurf helped me translate that into actual implementation across the codebase. It fits especially well when I am doing rapid prototyping, exploring new ideas or architectures, or iterating on existing features quickly. At the same time, one thing I have noticed in my workflow is around model switching. When I switch between models, the GPT generating agent models sometimes the deeper context regarding decision reasoning or intermediate steps does not fully carry over, so I end up re-establishing context manually every time. It is so much painfully manual; that is not a blocker, but since I work on fairly complex multi-step systems, having strong cross-model memory consistency would make it even more powerful. One thing I would really appreciate is stronger cross-model memory and context continuity. Right now, when I switch between models, the surface-level context is there, but the deeper reasoning regarding why certain decisions were made or how a flow evolved does not always carry over fully. Since I work on complex and multi-step agents, I end up re-establishing the context manually. If Windsurf could maintain a kind of shared memory layer across models where intent, decisions, and intermediate steps persist, it would make the whole experience much more seamless. Improving the memory continuity and control would take it from powerful to extremely reliable at scale. Overall, Windsurf is already a strong tool, but there are a few areas where improvements would make a big difference, especially for advanced workflows. The first is cross-model memory and context continuity. The second is better control over agent execution. Right now, when switching between models—for instance, if I am using a tier of models and then I reach a limit, and then I need to switch to a lesser limit model—the high-level context is there, but deeper reasoning is lost. A shared memory layer across models would make the experience much more seamless. Furthermore, while Cascade is powerful, for larger changes, it would help to have more visibility or control, such as previewing the execution plan and guiding steps before it runs. The UI and documentation provided are pretty good, though I think there is room for true visibility and feedback during agent execution. While the amount of time put into the design and documentation is great, figuring out things with the documentation can often be done without any third-party help. Some advanced use cases are not fully explored in the documentation, but the best practices for using agents effectively are very clear, such as how to structure prompts for multi-file changes and how to guide Cascade for better outputs. Real-world advanced examples are already implemented in there; that could be very helpful for us. The main advice I would give to others looking into using Windsurf is to not use it as a traditional code assistant. Windsurf really shines when you treat it as a feature-level or system-level tool, not just something for autocomplete or small snippets. So instead of thinking "write this function," think more toward "build this flow." Learn how to guide it properly. That is the main thing I would advise: learn how to guide it properly, how to prompt it properly, and start with real use cases, not toy examples.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The dataset management feature and the managed finetuning are the most valuable because they save the most time."
"Prem Studio allowed me to easily automate and solve the complicated problem of exploring and identifying the best AI architecture for our problems."
"I have seen a return on investment with Windsurf because I have saved time and money and needed fewer resources since using it."
"As I mentioned previously, I recently completed a project task module with Windsurf which was planned to be completed within two weeks with three developers, however, I was able to complete it within a single week and I was the only person who worked on it."
"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 has actually boosted my productivity significantly, and if I am implementing any user story or maybe working on a bug, ninety percent of my task is completed by Windsurf; I just guide it how to do it, and it completes most of my work."
"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."
"Windsurf is a fully magical platform where we can generate our fully complete full-stack application."
"As we're experimenting with different AI IDEs, Windsurf has positively impacted my organization by providing options."
"In summary, with the help of all these features that Windsurf provides, what is happening is the time consumption has been reduced drastically."
 

Cons

"The inference should be faster."
"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."
"Windsurf can be improved in several ways, such as enhancing response times and better handling of massive codebases when dealing with over 100K plus files, along with improved security controls."
"Since using Windsurf, I notice more errors, but we deliver approximately twice as fast."
"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."
"Sometimes, Windsurf is not able to develop the feature that we want and hallucinates a lot."
"It is so much painfully manual; that is not a blocker, but since I work on fairly complex multi-step systems, having strong cross-model memory consistency would make it even more powerful."
"Currently I am not seeing Windsurf to have deep research capability for any of the products."
"I chose 7 out of 10 because I've used Cursor as well, and sometimes I feel Cursor hallucinates less compared to Windsurf."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
12%
Manufacturing Company
10%
Outsourcing Company
9%
Comms Service Provider
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise8
Large Enterprise18
 

Questions from the Community

What is your primary use case for Prem Studio?
I use Prem Studio to finetune LLM models so that they answer the way I want.
What is your experience regarding pricing and costs for Windsurf?
Regarding pricing, I am a developer, and the pricing is handled by my management team and the platform team. As a developer, I was mainly focused on using the product rather than the procurement side.
What needs improvement with Windsurf?
Regarding improvements for Windsurf, I think it would be good if we had an integration with the cloud, a sort of cloud that way we can have autonomous agents that can handle tasks without human int...
What is your primary use case for Windsurf?
On a day-to-day basis, I use Windsurf's agentic mode, the cascade, to develop features in different projects that I work on. Most of my feature development starts with working with Windsurf's casca...
 

Comparisons

 

Overview

 

Sample Customers

Information Not Available
Dell, Anduril, MongoDB, Zillow, Atlassian
Find out what your peers are saying about Prem AI vs. Windsurf and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.