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

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, not humans, are becoming software's primary users, transforming APIs and developer tools.

August 6, 2025
5 min read
Lee Chong Ming

Vercel's CEO says AI agents, not humans, are becoming software's primary users, transforming APIs and developer tools.

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 human users to AI agents. These AI-driven entities are reshaping how APIs and developer tools are designed and built. The future of software isn't being built for people — it's being built for machines, said Vercel's CEO, Guillermo Rauch. "Your customer is no longer the developer," Rauch said 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 last year, is witnessing a fundamental shift: 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 explained. "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. "LLMs' strengths and weaknesses will inform the development of runtimes, languages, type checkers, and frameworks of the future," Rauch said. Rauch also highlighted that Vercel's newer users — including designers, marketers, and AI agents — expect software to "just work." Unlike developers accustomed to debugging and handling errors, today's users have little tolerance for failures. "You want something that works 99.99% of the time," Rauch added, calling this an "amazing pressure" for product builders. Last year, Vercel raised $250 million in a Series E round led by Accel, with investors including Tiger Global and GV.

Rise of AI agents

The year 2025 has been dubbed the year of AI agents, which could fundamentally change how the internet works and how users interact with apps and software. Bernstein analysts noted in February that while websites and apps won't disappear, 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 agent errors are prevalent and compound with each step they take. Patronus AI, a startup that helps companies evaluate and optimize AI technology, explained that an agent with a 1% error rate per step can accumulate to a 63% chance of error by the 100th step. "An error at any step can derail the entire task. The more steps involved, the higher the chance something goes wrong by the end," Patronus AI wrote. Despite these challenges, guardrails such as filters, rules, and tools to identify and remove inaccurate content can help reduce error rates. Small improvements can yield outsized reductions in error probability.
Source: Originally published at Business Insider on August 6, 2025.

FAQ

The Shift in Software Development

Q: What is the primary shift in software development according to Vercel's CEO? A: The primary shift is from building software for human users to building it for AI agents, changing how APIs and developer tools are designed. Q: Who is Vercel's CEO, and what is his outlook on the future of software? A: Vercel's CEO is Guillermo Rauch. He believes the future of software development is increasingly focused on AI agents as the primary users. Q: How does this shift impact API and developer tool design? A: APIs and developer tools are increasingly being designed with AI agents in mind, considering their strengths and weaknesses in interaction and utilization.

AI Agents and User Experience

Q: What does Guillermo Rauch mean by "Your customer is the agent"? A: He means that developers or end-users will wield AI agents, and these agents will be the direct interacting entities with software and APIs, rather than humans directly. Q: What are the expectations of newer users, including AI agents, regarding software? A: Newer users and AI agents expect software to "just work" with a very high degree of reliability, showing little tolerance for failures or debugging. Q: What is the "amazing pressure" mentioned for product builders? A: The pressure comes from the demand for software that functions flawlessly (e.g., 99.99% uptime), as today's users, including AI agents, have no patience for errors.

Challenges and Solutions for AI Agents

Q: What is a significant challenge with current AI agents? A: A major challenge is the prevalence of errors, which can compound with each step an agent takes, potentially derailing an entire task. Q: Can you provide an example of how agent errors can accumulate? A: An agent with a 1% error rate per step could have a 63% chance of error after 100 steps. Q: What measures can help mitigate the errors made by AI agents? A: Guardrails such as filters, rules, and tools to identify and remove inaccurate content can help reduce error rates.

Crypto Market AI's Take

The insights from Vercel's CEO Guillermo Rauch about the increasing importance of AI agents as users of software resonate deeply with the trajectory of the digital asset space. As AI capabilities grow, we see a parallel evolution in how financial markets, including cryptocurrency, are accessed and managed. This shift towards "agentic" systems is not just a technological evolution but a fundamental change in user interaction. For businesses and developers alike, optimizing for AI agents means prioritizing robust APIs, clear data structures, and unparalleled reliability, concepts that are crucial for any advanced trading platform. Our own focus on providing sophisticated AI tools for crypto trading, such as our AI-powered trading bots and AI analysts, aligns with this vision of a future where intelligent agents play a significant role in market participation and analysis. Explore how we are leveraging AI to enhance your trading experience: AI Crypto Market Platform.

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