> Before we invoke the LLM, we replace the long URLs with shorter versions that get transformed into the proper URL after the LLM finishes its response.
So, instead of fixing your blob URLs, you effectively run a regex to search and replace on the prompt before you feed it to the LLM? That does not seem like high quality engineering.
> In addition to text injection, we worked with the AI SDK team to provide examples in the v0 agent’s read-only filesystem. These are hand-curated directories with code samples designed for LLM consumption. When v0 decides to use the SDK, it can search these directories for relevant patterns such as image generation, routing, or integrating web search tools.
Curated or created? If you "curated" them what is the copyright license on those examples? Are they just copied into the project?
Remember when programming was about creating useful libraries of code? Now it's about sequestering them inside of an LLM and then charging insane amounts of money to convince a machine to sometimes copy them into your code for you.
Just.. wow... what are we even doing? Prepare for a very fragile future.