Human Expert vs multi-AI Consensus: The showdown.
Senior Architect: 27 bugs in 1h.
NexaVerify: 91 issues in 12s.
Found a Cloudinary Secret hidden in a .html doc that everyone missed.
Read the full breakdown on @TheDevRepo: [dev.to/nexadiag_nexa_…]"
Stress-tested NexaVerify with 93 chunks in parallel using 8 models.Result: caught real issues… and hit an "insufficient balance" error mid-run 😅Running multi-LLM at scale isn’t just about intelligence, it’s about economics too.Full story → dev.to/nexadiag_nexa_…#indiedev
Multi-LLM consensus for nearly $0 using Gemini Flash + Groq + Cerebras.Heavy models only on disagreements.This is real FinOps for AI.Do you control your token spend? #buildinpublic#indiedev
I stopped trusting a single AI to review my code.So I built a Consensus Engine with 8 different models working in parallel.Result: It caught a hidden NameError in 30k lines that GPT + SAST completely missed Full story → dev.to/nexadiag_nexa_…#indiedev#AI