Replit — State of AI Development: 34x growth in AI projects, OpenAI's dominance, the rise of open-source, and more

With the introduction of Large Language Models (LLMs), for the first time, Machine Learning (ML) and Artificial Intelligence (AI) became accessible to everyday developers. Apps that feel magical, even software that was practically impossible to build by big technology companies with billions in R&D spend, suddenly became not only possibly, but a joy to build and share. The surge in building with AI started in 2021, grew rapidly in 2022, and exploded in the first half of 2023. The speed of development has increased with more LLM providers (e.g., Google, OpenAI, Cohere, Anthropic) and developer tools (e.g., ChromaDB, LangChain). In parallel, natural language interfaces to generate code have made building accessible to more people than ever. Throughout this boom Replit has grown to become the central platform for AI development. Tools like ChatGPT can generate code, but creators still need infrastructure to run it. On Replit, you can create a development environment (Repl) in seconds in any language or framework which comes with an active Linux container on Google Cloud, an editor complete with the necessary tools to start building, including a customizable Workspace, extensions, and Ghostwriter: an AI pair programmer that has project context and can actively help developers debug. Deployments allowed developers to ship their apps in secure and scalable cloud environments. Given our central role in the AI wave, we wanted to share some stats with the community on the state of AI development. Building with AI Since Q4 of 2022, we have seen an explosion in AI projects. At the end of Q2 ‘23, there were almost 300,000 distinct projects that were AI related. By contrast, a search of GitHub shows only ~33k OpenAI repositories over the same time period.