What is called “Vibe encoding” using LLM-driven tools (such as cursor composer) – a term create The hands-on approach to writing code using AI Gen Models was described by renowned computer scientist Andrej Karpathy (Andrej Karpathy) and it did take off recently. According to Y Combinator, one in four startups in the latest batch rely on AI generation 95% of the code library. But, despite its obvious speed, is it really the most efficient way to generate code? Will it make the company’s unsafe code and technical debt levels rise?
This is what the UK started with Turintechit is being started Artemis The NVIDIA GTC event’s products today and news reports raised a total of $20 million in funding. Created by co- Dr. Leslie Kanthan Turintech (CEO), Mike Basios (CTO) and Fan Wu (Chief Science Officer) describe Artemis as an “evolutionary AI” platform that can optimize and validate enterprise code bases.
Founder Kanthan explained to TechCrunch: “When you generate a lot of code, you generate a lot of efficiency, and we use Artemis to find all the efficiency in the generated code, make it faster and use less resources.”
Unlike other Genai tools that rely solely on LLM for basic code generation and optimization, Artemis aims to refine, validate, and evolve code for improved performance, security, and scalability.
“For example, Github Copilot will predict the code you want to write, but it doesn’t actually check your code, and the traditional way to check your code is not to use a widget used with the compiler to view your code for corrections,” Kanthan explained.
To support his claim, Kansan pointed to his claim 2018 Research Paperswhich caused a sensation in the AI community by outlining his Darwinian approach to data structure selection (hence the term “evolutionary AI”). It is these ideas of Artemis products.
Turintech’s latest funding round includes a $15 million Series A closed seven months ago, led by Oxford Capital, with Circle Rock and IQ Capital participating. It previously raised $5 million in seed funding.
Despite Kanthan’s frustration with publicly named clients, TechCrunch has proven that Turintech already has some blue chip players and banks with big blue chip players and banks joining its early adopter program before the full release later this year.
It may be opening the door. AI-generated code is already changing software development: Gartner predicts by 2028, 75% of enterprise software engineers AI Code Assistant will be used, up from less than 10% in early 2023. Meanwhile, a Stack Overflow survey found that 63% of developers have incorporated AI into their workflows.
