Will Wilson, Antithesis\u2019 co-founder and chief executive, said \u201ceverybody adopting AI<\/a> coding tools\u2009.\u2009.\u2009.\u2009will produce a huge volume of software\u2009.\u2009.\u2009.\u2009and put current approaches to software testing and software validation under enormous strain\u201d.<\/p>\n Jane Street\u2019s investment highlights how users of \u201cvibe coding\u201d tools \u2014 which write software with little to no human oversight \u2014 are increasingly concerned about costly errors that could be lurking in the AI-generated code.<\/p>\n \u201cIt\u2019s not a coincidence that Jane Street is a massive user of AI coding,\u201d Wilson added.<\/p>\n The quantitative trading firm uses custom software to make lucrative bets<\/a> across financial markets. It is among Antithesis\u2019 largest customers and requested to lead the round, according to the companies. <\/p>\n Jane Street also holds stakes in AI groups Anthropic and Thinking Machines Lab. Doug Patti, a software engineer at the firm, said Antithesis\u2019 technology \u201chas helped [Jane Street] uncover issues that no other testing method could find\u201d. <\/p>\n Tech groups from Microsoft, Google and Nvidia to Coinbase and Klarna have led adoption of AI tools such as Anthropic\u2019s Claude Code, Anysphere\u2019s Cursor and Lovable over the past year, claiming they have supercharged their developers\u2019 productivity. <\/p>\n A recent Gartner survey of software engineers found that almost two-thirds of organisations were using AI coding assistants in some form.<\/p>\n AI coding start-ups have raised billions<\/a> of dollars as investors back them as a leading practical application of AI for businesses. Anysphere\u2019s valuation has shot up from $2.5bn at the start of 2025 to $29bn last month, making it one of the fastest-growing start-ups of all time. <\/p>\n Start-ups such as Antithesis, which promise to vet this AI-generated software, are now attracting investment too. <\/p>\n In May, New York-based OX Security raised $60mn from investors including Microsoft and IBM Ventures to scale up its \u201cVibeSec\u201d security testing system. Palo Alto-based Endor Labs raised $93mn in April after releasing a tool used by companies \u2014 including OpenAI \u2014 to test for bugs and suggest or make fixes. <\/p>\n Antithesis tests software by creating a simulation of a company\u2019s IT system and exposing the new code to automated user behaviour that would take months to test in the real world.<\/p>\n Gartner predicts that the US application security testing market will grow to $5.1bn this year, up from $3.4bn in 2023, as some studies show code written by AI systems is prone to errors. <\/p>\n \u201cThe problems with vibe coding stem from the sheer volume of code they produce,\u201d said Michael Fertik, an early investor in Anysphere who also runs Modelcode.ai, a start-up that uses generative AI to rewrite ageing applications. \u201cAI produces 10,000 times more code than any given human per year, so the risks are amplified and multiplied.\u201d<\/p>\n That challenge is greater when AI coding is used in the labyrinthine IT systems upon which many large companies rely, where small changes can trigger an unforeseen cascade of problems. <\/p>\n Testing of dozens of advanced AI models across 80 coding tasks by Veracode, which makes application security tools, found that almost half of AI-generated software contained security flaws. <\/p>\n
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