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Lovable CEO discusses AI coding competition
ALSO : OpenAI plans massive India data center

News of the day
1. Lovable CEO Anton Osika discussed AI-powered development at TechBBQ. He addressed concerns about AI code quality, emphasizing the need for review regardless of origin. → Read more
2. OpenAI is reportedly planning a significant expansion with a new data center in India, aiming for at least 1 GW of capacity. → Read more
3. The Werewolf Benchmark tests AI social reasoning. GPT-5 leads in manipulation and resistance. Models show distinct personalities and strategies, revealing insights into AI's social intelligence and decision-making capabilities. → Read more
4. A new study in JAMA Network Open questions whether LLMs can truly reason through medical cases or just match patterns. → Read more
Our take
Hi Dotikers!
Vibecoding isn’t just another gadget; it’s a new way to build software on demand, to cut development time by 10x, and to open app development to non-technicians; in short, to do more, faster, and for less. Anton Osika, Lovable’s CEO, takes a clear stance: stay focused on the product and don’t be overly worried about the giants.
What exactly are we talking about? Natural-language–guided development where you describe the intent, the AI proposes, and a human iterates and approves. This approach lowers the barrier to entry while shifting the effort toward design and review. Context matters. In July, Lovable raised $200 million at a $1.8 billion valuation, eight months after launch. The company now claims 2.3 million active users, including 180,000 paying subscribers. The Financial Times already mentions offers valuing it around $4 billion. Even your cousin who hates Excel can now spin up an app in the time it takes to drink a quick espresso. 😀
The battle won’t be won on raw model size or viral demos, but on production trust. The recent fiasco of a code agent at Replit ; deleting a production database; reminds us that moving fast without guardrails can come with a hefty bill. Winners will be those who orchestrate multiple LLMs, enforce systematic review, provide reproducible pipelines, and bake in security and compliance from the start.
Lovable says it’s aiming precisely for this end-to-end integration, with pragmatic, multi-model product positioning. If the platform turns that promise into measurable reliability, it could become the standard tool for founders and non-technical teams.
G.
Meme of the day

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