Even using BMAD or superpowers, I can make five versions of an app without judges involved and I feel like I’m just making the same app five times because the API begins to coalesce around the business problem you want to solve. The vicissitudes of prediction tools always want to take the safest bet for the greater good, but with the judge involved we can make the agent force itself to actually be hostile about what exactly we’re trying to do, which has produced interesting and fun results.
https://carteakey.dev/blog/local-inference/local-llm-optimiz...
https://botmonster.com/ai/self-hosted-ai-agent-frameworks-20...
Personally I find myself swapping models depending if I am engaged in “trad-development” vs building agentic probes or apps involving imagery. Tailscale the LLM to your deployments and ta-da!