Poetiq’s Meta-System Automatically Builds a Model-Agnostic Harness That Improved Every LLM Tested on LiveCodeBench Pro Without Fine-Tuning
Poetiq has developed a Meta-System that automatically creates an inference harness, significantly improving LLM performance on coding benchmarks without any model fine-tuning. This system achieved state-of-the-art results on LiveCodeBench Pro, boosting GPT 5.5 High's score from 89.6% to 93.9% and Gemini 3.1 Pro's from 78.6% to 90.9%. The Meta-System's harness is designed to be model-agnostic, demonstrating its ability to enhance various LLMs by optimizing prompting, output structuring, and evaluation processes. AI
IMPACT Demonstrates a novel method for enhancing LLM coding capabilities without fine-tuning, potentially improving efficiency and accessibility of AI tools.