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# Introduction
AI powered app builders is a next-generation family of development platforms that allow users to build software through cues expressed in natural language, automated code generation, and AI-driven design patterns. They quickly became a reality thanks to the ability of large language models (LLMs) to generate reliable code and app architecture specifications. In essence, these platforms automate much of the heavy lifting and significantly reduce the effort required to go from idea to final product.
Interested in learning about the most popular AI-powered app builders available today? Here is an overview.
# 1. Beloved
Dear Designed primarily for building functional web apps and websites based on instructions expressed in natural language and provided to a conversational AI assistant. Some of its attractive features are a super-fast idea-to-prototype workflow, seamless database integration, and a very accessible learning curve for beginners. On the other hand, its support for complex backends is limited, and it struggles to accommodate large enterprise environments due to its scaling constraints.
# 2. Duplication
Copy is an online integrated development environment (IDE) featuring AI-assisted coding that facilitates collaborative full-stack app development directly from the browser. Its versatility supports frontend, backend, production-ready deployment, and database from a single location. However, it is less suitable for absolute beginners in AI-ASSISTED development due to its steep learning curve and high amount of manual setup.
# 3. The dyad
The dyad Special focus on privacy and ownership in an offline-friendly AI app development environment. As a completely open source framework, it gives the developer full ownership of the code and data. Its support for both local models and API keys adds additional flexibility to the mix. While promising, it operates at a lower level of maturity than other tools and requires more technical expertise to configure the environment.
# 4. Bolt. New
Bolt. New is an advanced platform that can generate both frontend and backend code directly in your browser, allowing for prototyping at extraordinary levels of performance. Since it runs entirely in the browser, no local installations are required. Additionally, it offers robust support for the latest JavaScript and TypeScript frameworks. However, its ability to handle complex or highly customized backend projects is limited, and it can become potentially expensive if certain usage levels are exceeded.
# 5. Filter flow
Drag and drop, visually appealing features Filter flow User interfaces (UIS) and underlying logic, such as mobile apps, are also attracting attention for rapid user experience (UX) prototyping. Its low-code approach makes it an accessible option for novice developers. Its primary limitation when compared to other AI-Cristic platforms is its lack of quick-first functionality and low ability to accommodate highly customized software architectures.
Ivan Palomares Carrascosa is a leader, author, speaker, and consultant in AI, Machine Learning, Deep Learning, and LLMS. He trains and guides others in real-world applications of AI.