And perhaps this is a good decision for some industries and tasks, but for ours (software development), we are observing that companies are repeatedly making the fallacious assumption that it is easy to spin up a robust LLM application for code. Given the speed of development and the availability of tools, companies have increasingly decided to invest in building their own LLM applications to tackle a task rather than buying from or partnering with an established product in that space. Meanwhile, plenty of open source platforms from Langchain to Hugging Face have made it nominally easier to spin up an LLM application. Generative AI is moving fast, with rapid advances happening simultaneously across research, open source, and applications. Difficulties of Building a Code AI Product GitLab is the most recent example of a company who has had an underwhelming product launch, with their AI autocomplete solution far behind established products in many aspects. TL DR: It is incredibly hard to build a competitive generative AI product for code from scratch.
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