I see that a good output requires a good input (prompt). How does copilot workspace determine a good input for the prompt? I see that in the github repo there is already a bunch of "Tips and Tricks" to get better results. What is your experience so far? Should we change our way of creating issues (user-stories / bug-reports, change-requests) to a format that is better understood by AI/Copilot? (half-joking, half-serious).
I'm probably not the ideal person to write this down, there was so much stuff going on, some people probably made a whole blog-article series on this. This is just a few of the things that I'm able to remember right now.. and with everything on hn here it gives you some ideas and things to think about. Hope that Helps.
Also I could be wrong, but don't most trackers still accept rips that they consider inferior, but then they could be trumped by someone else that made an EAC rip?