so when i search with llm, it's citing other llm-written blog posts, which I am imagining is using other llm-written posts. feels like it's getting harder to get to the truth/source
wonder if owning your own model becomes more important in the app layer with llms. controlling the thinking steps, e.g., using tools, seems to make the output better? it's possible to emulate it with agentic steps but the degree of control over the output would still be limited
creating a markdown todo list of coding task has worked better than talking to 3.7 sonnet directly on @cursor_ai . latter causes too much hallucination and random walks. potentially because i write instructions better if its in document format vs chat
cursor is so well designed, i dont feel like im coding lol all i need to do is understand the code, tell ai to generate, and then check + refactor the output
@JPBrebner Thank you for sharing this!
Is there a common cadence for each sprint that you see among the great founders? (e.g., 1 ~ 2 weeks/sprint) Or would it depend on the team size and the product?
I always feel the need to move faster, but not sure how fast.