The main lesson I learnt from working on these projects is that agents work best when you have approximate knowledge of many things with enough domain expertise to know what should and should not work. Opus 4.5 is good enough to let me finally do side projects where I know precisely what I want but not necessarily how to implement it. These specific projects aren’t the Next Big Thing™ that justifies the existence of an industry taking billions of dollars in venture capital, but they make my life better and since they are open-sourced, hopefully they make someone else’s life better. However, I still wanted to push agents to do more impactful things in an area that might be more worth it.
Regions with many nearby points keep subdividing. Regions with few or no points stay large. The tree adapts to the data: dense areas get fine-grained cells, sparse areas stay coarse. The split grid is predetermined (always at midpoints), but the tree only refines cells that need it. Sparse regions stay as single large nodes while dense regions subdivide deeply.，更多细节参见搜狗输入法2026
Москвичи пожаловались на зловонную квартиру-свалку с телами животных и тараканами18:04。关于这个话题，91视频提供了深入分析
for (const component of components) {