Hou: 99% of AI editor rules file contents will be automatically inferred
Kevin Hou · 🕰️ The Oral History of Windsurf (ft. Varun Mohan, Scott Wu, Jeff Wang, Kevin Hou, Anshul R) · Jul 28, 2025 · at 2:57:45
Kevin Hou, co-founder of Windsurf (Codeium), argues that explicit configuration rules files (such as .cursorrules) are a temporary crutch that automated memory and context inference will obsolete.
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“We strongly believe that having a rules file, you know, we do allow users to add a rules file, we strongly believe that a rules file is a crutch. You know, by the end of twenty-twenty-five, 99% of the things that you're gonna put in a rules file will be interpreted or inferred based on your code base or your usage.”
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Hou: Codeium inference costs 1/100th of competitors by avoiding third-party APIs
“It's that idea that our computation is one 100th of the cost of the competitors. We are not using APIs, and as a result, our customers and our users actually get 100 X the amount of compute that they would on another product.”
Hou: Embedding-based retrieval is just a temporary heuristic for limited compute
“And so at Codium, we believe that this embedding based retrieval is the heuristic. We should be planning for AI first products, throwing large models at these problems so that AI is a first class citizen.”
Windsurf aims to shift coding workflows from 80% agent to 99% agent
“And today, timelines are 80 to 90% agent, 10 to 20% human. But we're trying to build towards a future that gets the 99% agent and one percent human. We only want to ask the user for final approval.”
Hou: Windsurf's SWE-1 achieves near-frontier model results at lower cost
“And we've been able to achieve near frontier model results at the fraction of the cost, and with a significantly smaller team.”
Hou: Users choose SWE-1 at higher frequencies than Claude 3.7 and 3.5
“People are choosing SWE-ONE because it recognizes how they do work, not necessarily how to generate code. And it's contributing, actually, an even higher frequency than models like 3.7 and 3.5.”
Kevin Hou: Traditional vector embeddings have hit a performance ceiling
“It's evident through the years that we're actually hitting a ceiling on what is possible using these traditional vector embeddings. And over time, even the biggest models are approximating to around the same level of performance.”