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AutoBE claims 100% function call rate on Qwen3-Coder

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AutoBE claims 100% function call rate on Qwen3-Coder
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// 73d 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

73d ago

2026-03-16

PUBLISHED

73d ago

2026-03-16

RELEVANCE

6/ 10

AUTHOR

jhnam88