Addy Osmani 新文：Coding agents 让工程师变成了管理者

Routing configuration — active parameters, top-k and shared-expert design — directly affects inference cost and throughput, yet specs are scattered across model cards and configs. This consolidation lets engineers pick models by routing efficiency rather than headline parameter counts. It also highlights how differently DeepSeek, Qwen and gpt-oss trade expert granularity against compute per token.

官方一手marktechpost@Michal SutterSource

The takeaway is that vague aesthetic goals like 'seamless transitions' only become executable once translated into concrete tempo, voice-layering and channel-switching rules. Builders who lack domain vocabulary can borrow this two-step pattern: let the agent sharpen the requirement, then verify its understanding before any execution. The workflow also generalises to other media work, such as producing storyboards before full video.

shao__meng@shao__mengSource

The three-stage design keeps costs down by reserving large-model calls for interpretation rather than raw frame analysis, a pattern reusable in any video-understanding workflow. E-commerce and short-video teams that previously paid for viral-content replication services can now run the same pipeline themselves and fine-tune it to their own formats. It contrasts with paid video editing agent products that had bundled this capability as a selling point just months ago.

shao__meng@shao__mengSource