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Mo

@meb

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@meb
How I would define an AI agent at the start of 2025: In abstract, a piece of software that can achieve a certain goal, and uses AI to navigate the fuzzy path of achieving that goal. More specifically, a combination of - Goal - Context management - Underlying model - Tools (datastores and functions with effects) - Prompting & self-prompting strategies (including delegating to other agents) Example: A geocoding agent Goal: Parse content from a sentence and geocode it Context Management: Trimmed sliding window. We only need the very most recent messages to get the job done. Underlying model: A simple model like 4o mini is more than enough Tools: A function to search cities with inbuilt query match ranking, and a function with access to a Google Maps geocoding API Prompting: Single turn. The agent should be able to get the job done in a single exchange, or ask the user to clarify the location if needed
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Agreed there is no such thing as a 100% AI written product. That said, the more polished it is, the more likely I used AI in multiple rounds of improvement
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Agentic coding is best done in spurts, with some old school manual coding in middle for finer results React component to make stuff good => 95% AI with some tweaking Writing tests => 80/20. Once you have good examples it can extrapolate rest and you can just delete / edit tests. Core system and interface logic. Manual, but with inline autocomplete
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Thank you for sharing
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Regex, new wacky and weird combos everyday That said; I’d prefer the original explicit not notation Uppercase and lowercase w would be easy to mix up when reading
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Today I learned, ^ inside a [ ] js regex section means NOT. So, ^\w means "match where the start is an ascii character" [^\w] means "not an ascii character" Thank you for coming to my ted talk
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Agree. I’ve always explained this as “encapsulated badness” If a function goes on for 400 lines (not ideal but an example), that can be fine as long as - there is a clear input / output interface - tests are in place to ensure desired functionality Clean code isn’t just pretty files and lines, it’s also about systems thinking
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100%. I’ve worked with amazing really good testing in the past. Kept velocity up over multiple years and made really big migrations possible.
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I’ve read this idea recently that code quality isn’t that important, since the cost of throwing away a file and rewriting it is now super low. Can totally see that being true. That said, a good suite of regression tests helps you keep that lovely vibe coding velocity
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Testing is pretty damn important
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Random question; What are some good ways to learn about making pixel art?
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Looks good lgtm
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Can it also perform actions on my behalf?
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Congratulations to the newlyweds
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Will test it out. What’s your favourite feature of this browser, and why?
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Definitely, and now with these new modern more compact nvidia chips you can do really nice form factors since you’re just running inference, not training. A few terabytes of SSD and RAM is not like it was in the 90s space-wise
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+9000 on local Alexa, which also can become hub for future complimentary hardware and is also very commercially viable (the Box from Silicon Valley, but running at home)
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You'd be surprised how much of an advantage agentic coding gives to experienced software engineers, compared to normies
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