#vibe-coding

#vibe-coding

Lightpost One is developing cutting-edge "vibe coding" technology, an AI solution that repurposes and rewrites existing software code rather than building new systems from scratch. The technology targets a global market of over 200 million websites and more than 27 million active developers, within an industry valued at $70.6 billion. Vibe coding holds significant growth potential in the development of advanced software applications, as it accelerates innovation and reduces costs.

This is pure vibe coding, as good as it gets, because although you can edit the GitHub Spark output in its code view, you're much more likely to change or refine its prompts to get the application you want. Instead of starting with a design, you start with an idea and use the tools in Spark to turn it into code-quickly and without needing to interact with the generated JavaScript.

According to research from Trend Micro, hackers are now using AI to analyze these reports and use them to refine their tactics. The study showed large language models (LLMs) can translate technical blogs into "partial malicious code" in a dark twist on the "vibe coding" trend. This not only allows threat actors to speed up attacks or reverse engineer malware strains, it also helps them mimic other group's TTPs, creating challenges with the attribution of attacks.

It uses AI to generate code based on the user's desired application as opposed to manual coding. Essentially, tell AI what you want the app to do and voila, it's ready in seconds. In some ways, it's like conversational coding or having a coding concierge that attends to an individual's needs. You can imagine the benefits of allowing business users to whip up forms or a quick app without having to go through IT.

Vibe coding is AI-powered, collaborative code creation, where the "vibe" - the team's culture, coding style and collaborative preferences - is harnessed as an operational parameter. Imagine pairing human strengths with advanced generative AI, capturing not just code syntax and logic, but the subtle preferences, patterns and conventions that make YOUR team effective. This isn't about getting AI to write a few snippets. It's about the AI learning your team's DNA.

Investors are clambering to get onto Swedish vibe-coding startup Lovable's cap table, making unsolicited offers of investment that value the company at more than $4 billion, reports Financial Times. Lovable CEO Anton Osika isn't currently engaging with the flurry of inbound, the Times says, which comes a few weeks after the startup announced a $200 million round at a $1.8 billion valuation in a deal led by Accel.

Anton Osika, the 35-year-old CEO of the vibe coding platform Lovable AI, told Business Insider last week that a standard computer science degree "isn't useless" or "worthless" but its value has changed, and "the leverage has moved." Osika said that AI removes the need for "technical know-how" and "years of training" because people now have the tools to turn ideas into working products, "without ever touching a formal CS [computer science] education," by vibe coding - using AI tech that does the work for you.

This week on The Vergecast, we're discussing the fallout of the messy GPT-5 launch and why the new model isn't living up to the hype.

Lovable has achieved unicorn status and now a centaur status by surpassing $100 million in annual recurring revenue within just eight months of its launch.

Vibe coding shifts away from traditional coding by enabling fluid and conversational collaboration with AI, allowing for quicker transformation of ideas into functional products.

"If you are given a code base that you don't understand - this is a classic software engineering question - is that a liability or is it an asset?"

Today's frontier models are optimized for coding, and they've made massive strides over the last couple of years, but they often don't capture the nuances of the entire software engineering process.

The idea that voice assistants like Siri could be used to code apps raises questions about the complexities of app development that go beyond simple execution.