Anthropic recently shared a striking prediction: by 2025, 90% of coding for their software will be powered by AI.
Shopify more recently said that employees need to prove jobs can’t be done by AI before asking for more headcount.
For those of us immersed in the transformative power of artificial intelligence, these aren’t simply Big Tech mandates and milestones—they’re a cultural shift in how humans and machines collaborate to solve problems and create value. One trend that perfectly captures this shift is vibe coding.
What is Vibe Coding?
As the creator of the term “Vibe Coding,” OpenAI co-founder Andrej Karpathy, says, “vibe coding is where you fully give in to the vibes, embrace exponentials, and forget that the code even exists.”
At Lily AI, we see parallels between Vibe Coding and how AI is transforming retail workflows.
One standout example is New Product Setup. Traditionally, onboarding new products into e-commerce and advertising systems has been a labor-intensive process—requiring marketers and site merchants to format, enrich, and optimize product data, including titles, descriptions, and attribute details.
Let’s Bring Vibing to Life
If you’re responsible for maintaining a clean and optimized Google Merchant Center for your company’s assortment, you have to follow a 67-page product data specification for each and every item.
Imagine the team that must do this for Wayfair, a company with over 40M items in their product catalog from 20k+ suppliers. Or even Nike, at approximately 1k items in their footwear assortment.
Whether a narrower catalog or a vast one, the effort to be accurate, relevant, timely, and integrated is a formidable challenge for humans yet a perfect use case for AI.
Vibing with Lily AI
With AI-powered solutions like Lily’s Product Content Optimization platform, we’re flipping the script and making it easier than ever to vibe with AI and use Lily AI to tackle what was previously manual, highly error-prone, and incredibly time-consuming.
Imagine launching hundreds of new products simultaneously and also automatically updating and optimizing that product content over time for every destination — highlighting unique attributes like trending styles or occasion-specific use cases — all while ensuring the highest levels of accuracy, consistency, and real-time consumer relevance.
Just as developers guide AI to generate code, retailers, too, are empowered by AI, specifically, by leveraging Lily AI to generate initial product content at setup and ensure ongoing product content optimization throughout the lifecycle of the item, boosting ad effectiveness and sales and enabling their teams to focus more on overall strategy, distinctive assortment curation, and high-value consumer engagement programs.