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TurinTech reveals $20M in backing to fix problems in 'vibe coding' | TechCrunch

Mar 18, 2025 - techcrunch.com
The article discusses the rise of "vibe coding," a hands-off approach to code generation using AI models, which has gained popularity with tools like Cursor Composer. A significant portion of startups in Y Combinator's latest batch relies heavily on AI for code generation. However, concerns about the efficiency and security of AI-generated code have been raised. UK startup TurinTech, co-founded by Dr. Leslie Kanthan, is addressing these concerns with its Artemis platform, which optimizes and validates enterprise codebases to improve performance, security, and scalability. Artemis, described as an "evolutionary AI" platform, aims to refine and evolve code beyond basic generation, differentiating itself from other GenAI tools.

TurinTech has recently raised $20 million in funding, including a $15 million Series A led by Oxford Capital. The company has already attracted large blue-chip players and banks to its early adopter program. The article highlights the growing impact of AI on software development, with Gartner projecting that 75% of enterprise software engineers will use AI code assistants by 2028. Additionally, a Stack Overflow survey indicates that 63% of developers are already incorporating AI into their workflow. The article is written by Mike Butcher, Editor-at-large of TechCrunch, who is recognized as an influential figure in European technology.

Key takeaways:

  • Vibe coding with LLM-driven tools like Cursor Composer allows for a hands-off approach to code generation, but may lead to inefficiencies and technical debt.
  • TurinTech's Artemis platform aims to optimize and validate codebases, improving performance, security, and scalability, unlike other GenAI tools that rely solely on LLMs.
  • TurinTech has raised a total of $20 million in funding, including a $15 million Series A led by Oxford Capital, and has large blue-chip players and banks in its early adopter program.
  • AI-generated code is becoming more prevalent, with Gartner projecting 75% of enterprise software engineers will use AI code assistants by 2028, up from less than 10% in early 2023.
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