Replit, a leading developer platform and community, has released its State of AI report, shedding light on the remarkable surge in AI development over the past year. With the advent of Large Language Models (LLMs), machine learning (ML) and artificial intelligence (AI) have become accessible to everyday developers, enabling the creation of previously unimaginable software and applications.
The report reveals that the AI development boom commenced in 2021, gained significant momentum in 2022, and reached unprecedented levels in the first half of 2023. This rapid progress can be attributed to the increasing number of LLM providers, such as OpenAI, Google, Cohere, and Anthropic, as well as the availability of developer tools like ChromaDB and LangChain. Moreover, the emergence of natural language interfaces to generate code has made AI development accessible to a wider audience than ever before.
The report by Replit highlights that since the last quarter of 2022, there has been an explosion in AI projects, with nearly 300,000 distinct (cumulative) projects recorded by the end of Q2 2023. About 160,000 of these projects were created in Q2 2023, witnessing an 80% quarter-over-quarter (QoQ) growth, and an astonishing 34-fold year-over-year (YoY) increase.
OpenAI, per report, dominates over 80 percent of distinct projects on Replit. In Q2 2023, OpenAI’s projects surpassed 125,000 representing an 80 percent year-over-year increase. Cohere projects also experienced significant growth, surpassing 1,000, a 100% increase. Meanwhile, Anthropic and Google projects remained below the 1,000 mark.
The State of AI report also notes that LangChain (a framework for developing applications powered by large language models) has also had a significant impact on the state of AI development landscape. Known for its role as a wrapper for various AI models, the framework has spurred accelerated development and witnessed widespread adoption among developers.
As of Q2 ’23, there were nearly 25,000 active LangChain projects on Replit. Remarkably, over 20,000 of these projects were created in that quarter alone, representing an impressive 400% growth compared to the previous quarter.
Sharing numbers on languages in AI development, the report highlighted that Python and JavaScript have been growing at similar rates, with Python being the slightly more common language among AI developers. Javascript, however, according to the report grew slightly faster during the second quarter. JavaScript, however, grew slightly faster during Q2.
The report notes that two languages not mutually exclusive and many projects have a Python backend and JavaScript frontend.
You can read the full report here.
