
A smartphone displays the ChatGPT logo in West Chester, Pennsylvania, on Wednesday, December 6, 2023. (Photo by Matt Rourke/AP)
In just a couple of years since ChatGPT made headlines, a new wave of AI-driven coding startups is grabbing the spotlight. These companies are shaking up the software industry, attracting billions from investors and raising questions about the future of human developers.
San Francisco-based startup Cursor recently stunned the tech world by securing $900 million in funding at a $10 billion valuation. It offers a tool that writes code automatically, completing tasks that would normally require a human engineer. Another rising star, Windsurf, the maker of Codeium—a tool that turns simple English instructions into working code—is in talks to be acquired by OpenAI for $3 billion.
These tools, often described as part of the "vibe coding" movement, allow even non-coders to create software using plain language. Investors see this as a gold rush moment, pushing to capture users quickly before tech giants dominate the space.
But despite their rapid rise, most of these startups aren’t yet profitable. Their software runs on expensive AI models from companies like OpenAI and Anthropic, making each user query costly. They also face stiff competition. Giants like Google, Microsoft, and OpenAI are rolling out their own coding tools, aiming to keep developers inside their ecosystems.
Still, there's big money at play. Microsoft’s GitHub Copilot, launched in 2021, has already brought in over $500 million in revenue and serves more than 15 million users. Even so, Microsoft recently laid off thousands of workers—including software developers—highlighting how AI is reshaping tech roles.
As AI tools become smarter, they’re taking over tasks once done by junior developers. One report shows that hiring for entry-level coding jobs fell 24% in 2024. Google and Amazon both say a significant chunk of their code is now AI-generated. Amazon even claims AI saved them the work of 4,500 developer-years.
Cursor and Windsurf, run by young MIT grads, represent the new face of tech entrepreneurship. Cursor hit $100 million in recurring revenue in less than two years. Windsurf reached $50 million just months after launching its product. However, both are spending more than they earn, operating at a loss for now.
Startups like Sourcegraph are adapting by offering users a choice of AI models to manage costs—some high-end, some cheaper. Meanwhile, Cursor and Windsurf are racing to build their own custom AI models to reduce dependence on third-party providers and gain control over performance and pricing.
Yet building an in-house AI model is no small task—it demands massive computing power and millions in investment. Some, like Replit, have already given up on this plan. Others like Poolside and Magic Dev are still working on it, but have yet to show results.
Whether these startups can thrive once big tech fully steps in remains to be seen. Success may come not just from having the best tech, but from knowing how to use it—and how to sell it.