@bstnxbt: dflash-mlx v0.1.6 is out. Biggest agentic update so far: ► much more usable for real OpenCode / coding-agent sessions ►…

X AI KOLs Timeline 05/14/26, 06:53 PM Tools

mlx agentic-coding open-source machine-learning qwen apple-silicon dflash

Summary

dflash-mlx v0.1.6 is released with major agentic improvements, including adaptive verification, custom kernels, prefix cache improvements, and broader compatibility with agentic coding tools like OpenCode, aider, and Continue.

dflash-mlx v0.1.6 is out. Biggest agentic update so far: ► much more usable for real OpenCode / coding-agent sessions ► adaptive verify is now the default path for long-context work ► new custom verify kernels + better adaptive M4 fallback ► draft W4 path for large DFlash drafts ► L1 RAM + L2 SSD prefix cache improvements ► CopySpec reuse for repeated code / structured continuations ► cleaner OpenAI-compatible serving for OpenCode, aider, Continue, Open WebUI, LM Studio ► better tool-call streaming + minimal Responses API support ► Gemma 4 path improvements ► Qwen3-Next minimal fused-GDN support ► fast short-output fallback is now opt-in I mostly focused this release around Qwen3.6 27B 4-bit. Excited to hear feedback from people testing it in real agentic coding sessions.

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How many of you tried BeeLlama.cpp? How's it? Agentic coding possible with 8GB VRAM?

Reddit r/LocalLLaMA

The article discusses BeeLlama.cpp, a fork offering advanced DFlash and TurboQuant features, and seeks community feedback on its performance for agentic coding on hardware with limited VRAM.