Categories › AI & Agents › Thinking, planning & prompt tools
Implement and debug research code, select suitable codebases, reproduce baselines, map mechanisms into model architecture, and optimize training from measurements. Use for 科研编码, 论文复现, codebase选型, 模型实现, 训练调试, 显存/吞吐优化, and research dependency conflicts. Experiment protocols belong to designer; campaign coordination belongs to orchestrator.
Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.