⚡️ We are excited to share updates from KDA-v0.5 (kernel design agents). Our latest Cute-DSL kernels can beat the human winners at FlashInfer Kernel Contest by 16%~69%! An amazing progress in just 3 months! - GDN prefill: 1.69x Speedup over Kachua - DSA attention: 1.41x Speedup over Dogacel - FP8 MoE: 1.17x Speedup over Team Wombat Humanize2 Flame Chase: Results and Reproduction: MLSys 2026 Contest: KDA-v0.5 achieved this by integrating the Cute-DSL primitive, better workflows (humanize1 -> humanize2), updated kernel-wiki (self-evolved), and better profiling skills (IKET). The results are achieved by the flame chase flow from humanize2 – using gpt-5.6-sol and fable-5 to iteratively optimize . We have released the kernels for validation and more details will come soon! By the KDA Team: Dongyun Zou, Yixin Dong, Junxian Guo, Changye Li, Yahui Cui, Zihao Ye, Junru Shao, Zijian Zhang, Sihao Liu, Song Bian and Ligeng Zhu.

Excited to share the KDA: Kernel Design Agents that powers HAN Lab Kernel Mafia top ranking #1#~3 kernels at Kernel Contest🚀🚀🚀 Thanks to agents, everyone can be a "kernel bro" in 2026: By adapting the KDA, the team ranked #1# in MoE, #2# in DSA, and #3# in GDN in the Pure Agent track at MLSys FlashInfer Kernel Contest – especially given the fact that the main participant (dongyun zou) has only written ~400 LoC triton and 0 lines of CUDA in 2026. The core philosophy here is to leverage Humanize (the best harness framework) to let the agent run autonomously for as long as possible. By minimizing human involvement and input, and placing full trust in the agent, we can achieve kernel performance that nears SOTA levels. HAN Lab Mafia Solution to MLSys’26 Kernel Contest: KDA Github: