You’ve listed some general concerns that have already been answered in documentation and other posts.
- The shift to Agentic v0 means no more need to choose models.
- High credit usage is often the result of broad instructions, big files, or large projects. Forcing the agent to scan every file for every command isn’t the most efficient use of resources. Instead, breaking a project into components and targeting specific changes helps manage context and reduce credit usage. And be very specific with prompts.
- Code output will vary based on project settings and instructions provided. Setting project level instructions and strategic forking can get you more predictable results. Giving targeted instructions also helps.
More tips about how others use v0 have been shared in the community handbook. I strongly recommend reviewing the techniques that worked for other people and the v0 docs.
I’m not sure what would constitute a “comprehensive response” in your mind. If there’s a specific feature you want to know about, please let me know so I can check with the team about if/when it might be available.