[{"data":1,"prerenderedAt":71},["ShallowReactive",2],{"maker-codelion":3},[4,26,51],{"id":5,"name":6,"line":7,"ai":8,"cat":9,"year":10,"points":11,"comments":12,"rec":13,"s":14,"top":15,"kw":16,"maker":20,"domain":21,"tier":22,"attempts":12,"strip":23,"url":24,"mix":25,"praise":-1,"objection":-1,"sub":18},22689058,"Sapling","a planning tool for remote and distributed teams",false,"productivity",2020,21,0,"quiet",null,55,[17,18,19],"remote teams","team planning","distributed teams","codelion","github.com","shown","","https:\u002F\u002Fgithub.com\u002Fsrcclr\u002Fsapling",[12,12,12,12],{"id":27,"name":28,"line":29,"ai":8,"cat":30,"year":31,"points":32,"comments":33,"rec":34,"s":35,"top":36,"kw":37,"maker":20,"domain":23,"tier":42,"attempts":12,"strip":43,"url":-1,"mix":44,"praise":48,"objection":49,"sub":50},44112326,"AutoThink","Boosts local LLM performance with adaptive reasoning","ai",2025,397,68,"mixed",0.29,4,[38,39,40,41],"local llm","adaptive reasoning","steering vectors","token budget","legend","0050000005050313003553550001130000300351",[45,46,47,36],10,8,1,"Obvious optimisation, good to see it written up","Classifying difficulty by token count can misjudge hard questions and trade correctness for speed","reasoning optimization",{"id":52,"name":53,"line":54,"ai":8,"cat":30,"year":31,"points":55,"comments":56,"rec":57,"s":58,"top":59,"kw":60,"maker":20,"domain":23,"tier":22,"attempts":12,"strip":65,"url":-1,"mix":66,"praise":69,"objection":70,"sub":64},44156467,"System Prompt Learning","LLMs Learn Problem-Solving from Experience",48,13,"curious",-0.25,34,[61,62,63,64],"system prompt learning","llm strategies","optillm","prompt optimization","0100003031030",[12,67,12,68],3,2,"Related case-based reasoning work and similar projects are worth looking at","Benchmark baseline unclear; generic strategies might work as plain prompt additions",1793991248216]