Layer 2: Local-WFC. If the main solve fails, the solver runs a mini-WFC on a small radius-2 region around the problem area — re-solving 19 cells in the overlap area to create a more compatible boundary. Up to 5 attempts, each targeting a different problem cell. Local-WFC was the breakthrough. Instead of trying to solve the impossible, go back and change the problem. The system even got up to ~86% success solving the entire map in one go.
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Save me time, and no magic pleaseSo we did a hard reset on our AI ambitions. Instead of shipping the whole kitchen sink, what if we focus on one time consuming task in the critical path of our users? One repetitive, but critical taks that came to mind is triaging a failed Playwright Check test. Specifically, could we use LLMs to quickly create an analysis of a Playwright trace file?
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this would work just fine. What to do?。业内人士推荐新收录的资料作为进阶阅读
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