OPEN_SOURCE ↗
REDDIT · REDDIT// 27d agoBENCHMARK RESULT
AutoBE claims 100% function call rate on Qwen3-Coder
The wrtnlabs team raised function calling success in Qwen's qwen3-coder-next model from 6.75% to 100% using their AutoBE framework, and will present the technique at Qwen's Korea Meetup.
// ANALYSIS
A jump from single-digit to perfect function calling success is a headline claim that deserves scrutiny — but if reproducible, it signals a real structural fix rather than a marginal prompt tweak.
- –Function calling reliability is the core bottleneck for agent pipelines; a repeatable solution here has outsized downstream value
- –The qwen3-coder-next context suggests the technique may be model-specific or require careful prompt/schema engineering tied to Qwen's instruction format
- –wrtnlabs is behind AutoBE (GitHub: wrtnlabs/autobe), an open-source project in the agentic coding space — this feels like a legit engineering team sharing real results
- –Presentation at an official Qwen meetup adds credibility; Korea's LLM ecosystem is increasingly active and worth watching
- –Very low Reddit engagement (score: 2) at time of scrape — may not reflect actual significance
// TAGS
autobeqwenllmagentbenchmarkopen-source
DISCOVERED
27d ago
2026-03-16
PUBLISHED
27d ago
2026-03-16
RELEVANCE
6/ 10
AUTHOR
jhnam88