... review the logic and have it review the implementation before anything gets merged. Two things that I do almost every time that has significantly improved the quality is to have the agent do a gap analysis of the plan vs the implementation and then do a review for efficiency optimizations, code consolidation, and speed improvements. Very rarely does it say everything is cool to merge. I think we're still a bit away from the full hands off approach ... ... swear the agents get annoyed with me. LOL Comment from Dylan(@liraelw5836): I read the whole thing and the 38% cost spike hit hardest. The hardcoded discount logic was a close second. We built flat rate inference at Canopy

... cost, latency and vendor lock-in associated with choosing a cloud service. Today, things look quite different: While the quality of speech these models are capable of generating has improved tremendously, open-source models like Coqui XTTS v2.0.3, Canopy Labs Orpheus and Hexgrad s Kokoro 82 M have developed in lockstep: in blind tests, most listeners can t reliably separate them from the incumbents. Broadly, today's models fall into two distinct categories that serve fundamentally different purposes: Real-time ... ... working on one of the voice models we ve tested for this post or one we haven t we d love to explore an integration. Comparing today s leading text-to-speech voice models Beyond the real-time VS