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robkohr.com | ||
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www.softdevtube.com
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| | | | | Programming history is filled with bugs that turned out to be features and limitations that pushed developers to make even more interesting products. We'll journey through code that was so 'bad' it was actually good. Along the way we'll look at the important role failure plays in learning. Then we'll tame our inner perfectionists and | |
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patdavid.net
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ezyang.github.io
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| | | | | When you're learning to use a new framework or library, simple uses of the software can be done just by copy pasting code from tutorials and tweaking them as necessary. But at some point, it's a good idea to just slog through reading the docs from top-to-bottom, to get a full understanding of what is and is not possible in the software. One of the big wins of AI coding is that LLMs know so many things from their pretraining. For extremely popular frameworks that occur prominently in the pretraining set, an LLM is likely to have memorized most aspects of how to use the framework. But for things that are not so common or beyond the knowledge cutoff, you will likely get a model that hallucinates things. Ideally, an agentic model would know to do a web search and find the docs it needs. However, Sonnet does not currently support web search, so you have to manually feed it documentation pages as needed. Fortunately, Cursor makes this very convenient: simply dropping a URL inside a chat message will include its contents for the LLM. | |
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blog.discourse.org
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| | | Organizations and community leaders have always endeavored to understand what to expect in terms of online community engagement from their community or forum. | ||
