Memdoor: A team of 5 Qwen3.8-27B models beats Fable 5 on LiveCodeBench Hard
Why CEREBRO kept it
Multi-model team beating single model, novel agentic coding pattern
The text below is an automated extraction of the article at https://github.com/guregodevo/memdoor/tree/main/examples/workflows/team-solve, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (github.com).
A multi-agent harness for programming problems, written as a Memdoor workflow. Five roles (planner, two ideators, solver, manager) and a repair worker each start from a fresh context and talk only through files on disk. A shell script that runs the samples decides success, not a model. It is the method of GVS5H (Lee, 2026: five Qwen3.8-27B models match Fable 5 on LiveCodeBench Hard). Rebuilt with the authors' exact prompts on Qwen3.8-27B, their loop scored a mean of 9.8 of 10 over five passes on the first ten LiveCodeBench Hard problems, against 9.6 for their own harness and 8.0 for Fable 5 al
Community take
Commenters flag that this reuses the GVS5H method already posted on HN a week earlier, and suggest testing Qwen 3.8-flash-next, which they say beats the 27B model on coding and terminal benchmarks.
Who builds this
guregodevo is profiled here from public GitHub push activity.
Backlinks
Appeared in 1 briefing