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An Accel-backed startup CEO says your next user isn't human — and it's changing how software gets built
artificial-intelligence

An Accel-backed startup CEO says your next user isn't human — and it's changing how software gets built

Vercel's CEO says AI agents are becoming software’s next users, transforming how APIs and developer tools are designed and built.

August 6, 2025
5 min read
Lee Chong Ming

Vercel's CEO says AI agents are becoming software’s next users, transforming how APIs and developer tools are designed and built.

An Accel-backed startup CEO says your next user isn't human — and it's changing how software gets built

Vercel's CEO, Guillermo Rauch, believes the future of software development is shifting from building for human users to building for AI agents. "Your customer is no longer the developer," Rauch explained on the "Sequoia Capital" podcast. "Your customer is the agent that the developer or non-developer is wielding." Vercel, a web infrastructure startup valued at $3.25 billion in 2024, is witnessing this shift firsthand. Rauch emphasized that code is increasingly written not just for humans to read or interact with, but for AI agents to understand, use, and extend.
"That is actually a pretty significant change," Rauch said. "Is there something that I could change about that API that actually favors the LLM being the, quote-unquote, entity or user of this API?"
This AI-first era demands that software tools evolve based on how large language models (LLMs) interact with them. Rauch noted:
"LLMs' strengths and weaknesses will inform the development of runtimes, languages, type checkers, and frameworks of the future."
He also highlighted that Vercel's newer users include not only developers but also designers, marketers, and even AI agents. These users expect seamless functionality.
"Developers were used to dealing with errors and terrible, negative feedback all day long," Rauch said. "But today's users have a much shorter fuse when something goes wrong."
Still, Rauch views this as positive pressure for product builders, aiming for software that "works 99.99% of the time." Last year, Vercel raised $250 million in a Series E round led by Accel, with participation from Tiger Global and GV.

Rise of AI agents

The year 2025 has been marked as the rise of AI agents, which could fundamentally change how the internet and software interact with users. Bernstein analysts wrote in February that while websites and apps will remain, users may no longer interact with them directly. Instead, AI assistants will aggregate information, content, and widgets, becoming "the aggregator of the aggregators."
"If it scales and plays out like we think it might, this. Changes. Everything. The aggregators get disaggregated, and much of consumer internet may be structural shorts. Welcome to the Agentic AI era," the analysts wrote.
However, AI agents are not without flaws. Researchers warn that errors compound with each step an agent takes. Patronus AI, a startup helping companies optimize AI technology, explained:
"An error at any step can derail the entire task. The more steps involved, the higher the chance something goes wrong by the end."
Their statistical model showed that an agent with a 1% error rate per step could have a 63% chance of error by the 100th step. Despite these challenges, guardrails such as filters, rules, and tools to identify and remove inaccurate content can mitigate error rates. Small improvements can lead to significant reductions in overall error probability.
Source: Originally published at Business Insider on August 6, 2025.

Frequently Asked Questions (FAQ)

Shifting User Base

Q: What is the main shift in software development users according to Vercel's CEO? A: Vercel's CEO, Guillermo Rauch, believes the primary shift is from building software for human users to building it for AI agents. Q: Who does Rauch consider the "customer" in this new era? A: Rauch states that the customer is no longer the developer, but rather the AI agent that developers or non-developers are utilizing.

AI Agents and Software Design

Q: How does the rise of AI agents impact software design? A: The increasing interaction of AI agents with software necessitates that tools evolve to be understood, used, and extended by these agents. Rauch suggests that API design should consider favoring LLMs. Q: What will inform the future development of programming languages and frameworks? A: The strengths and weaknesses of Large Language Models (LLMs) will inform the development of future runtimes, languages, type checkers, and frameworks.

User Experience and Expectations

Q: Who are Vercel's newer users besides developers? A: Vercel's newer users include designers, marketers, and AI agents, all expecting seamless functionality. Q: How do the expectations of current users differ from those of traditional developers regarding software errors? A: Developers were accustomed to dealing with errors frequently, but current users have a much lower tolerance for issues, pushing for software that operates with near-perfect reliability.

Challenges and Solutions for AI Agents

Q: What is a primary concern regarding the reliability of AI agents? A: A significant concern is that errors can compound with each step an AI agent takes, increasing the probability of failure for complex tasks. Q: How can the error rates of AI agents be mitigated? A: Error rates can be mitigated through guardrails such as filters, rules, and tools designed to identify and remove inaccurate content. Even small improvements in error rates per step can significantly reduce the overall probability of errors.

Crypto Market AI's Take

The shift towards building software for AI agents, as articulated by Vercel's CEO, Guillermo Rauch, is a significant development with broad implications, including for the cryptocurrency market. As AI agents become more sophisticated and integrated into our digital lives, they will increasingly interact with financial platforms and services. This necessitates robust and adaptable infrastructure, much like what Vercel provides. For the crypto space, this means that platforms and protocols need to be designed with AI agents in mind, not just for user interfaces but also for programmatic access and complex task execution. The potential for AI agents to aggregate and disaggregate information also suggests a future where decentralized finance (DeFi) and blockchain technologies could play a crucial role in providing transparent and secure data for these agents. At Crypto Market AI, we are keenly observing these trends, developing AI-powered tools and insights to help navigate this evolving landscape. Our focus on AI agents in crypto and providing actionable market intelligence aims to equip users for this agent-centric future. We also explore how AI impacts personal finance through our AI Personal Finance hub, which is increasingly relevant as agents handle more financial tasks.

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