
How Modern AI Startups Are Built in a Weekend (Without Writing a Line of Code)
Last Updated on August 28, 2025 by Editorial Team
Author(s): Richard Warepam
Originally published on Towards AI.
Forget building from scratch — this is the fastest, smartest way to launch real AI products in 2025.
Lately, my inbox has been flooded with one big question: “How are all these new AI companies even built?”
The article explores the rapidly evolving landscape of AI startups and discusses how they can be efficiently built using modern tools and frameworks without requiring extensive coding knowledge. It emphasizes the importance of speed in product development, outlines essential components of AI products, and offers practical recommendations for utilizing no-code and low-code solutions to accelerate the process. Ultimately, it encourages readers to think strategically about system design while keeping a human element in the development lifecycle to ensure quality and user satisfaction.
Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Take our 90+ lesson From Beginner to Advanced LLM Developer Certification: From choosing a project to deploying a working product this is the most comprehensive and practical LLM course out there!
Towards AI has published Building LLMs for Production—our 470+ page guide to mastering LLMs with practical projects and expert insights!

Discover Your Dream AI Career at Towards AI Jobs
Towards AI has built a jobs board tailored specifically to Machine Learning and Data Science Jobs and Skills. Our software searches for live AI jobs each hour, labels and categorises them and makes them easily searchable. Explore over 40,000 live jobs today with Towards AI Jobs!
Note: Content contains the views of the contributing authors and not Towards AI.