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rgbrgb
searching PlanetScale…
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1.
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by
rgbrgb
5d ago
most users i'm dealing with are not doc-reading developers. even getting them to tell claude to use tool X is pretty hit or miss whereas claude already knowing what tool to use is 100% hit with correct mcp tool descriptions.
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rgbrgb
5d ago
love this idea. did you try comparing to jev?
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rgbrgb
5d ago
it's mostly true but the mcp also installs the knowledge of that REST API in a standard way so that a user can ask "what's projected revenue this month?" and it'll know how to hit your company brain and answer
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rgbrgb
7d ago
It can’t do images but it can do a pretty good job of triaging urgency or choosing when to escalate. So I’d guess yes but it depends how detailed your classification is.
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rgbrgb
9d ago
would this work with a postgres hosted on supabase? for our company brain mcp thing we mirror postgres data (along with server logs, banking data, slack, etc) in clickhouse but took a very inefficient polling approach since it works with an
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rgbrgb
10d ago
I've been thinking about this in the context of learning new languages and tech. In pre-LLM days it was fun to sometimes try to implement a new idea in a new language or stack and build up an understanding by trial and error. You'
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rgbrgb
10d ago
maybe someone wrote a classifier (or LLM wrapper) to find posts that will rank on hn
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rgbrgb
11d ago
these were not average employees - top decile engineers i've worked with, shipping quickly and rigorously to millions of global users
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rgbrgb
11d ago
very cool! i'd been thinking about this idea and found vega-lite to be an interesting take as well [0]. i'll compare and look at folding this into setoku for app generation [1]. right now apps are just html blobs your claude autho
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rgbrgb
12d ago
interesting. the less "research lab" version i've seen of this is https://polsia.com comparatively, I really appreciate the transparency here. clearly it's a little too early for this (quickly glanced at the
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by
rgbrgb
12d ago
> semi-skilled workers fwiw the h1-b workers I encountered in bigtech were totally on-par with their US citizen equivalents in both coding and english communication. many teams were about 50/50 in my office (SF, non-HQ). my current
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rgbrgb
17d ago
why shadcn and not bootstrap? shadcn is like a cool weird approach to a ui kit but bootstrap got us a date picker iirc.
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rgbrgb
17d ago
kind of rhymes with the reports of LLM's watching open source PRs and instantly exploiting defects. security by obscurity is so back
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rgbrgb
19d ago
agree and underscores the idea that you should keep your setups portable between model providers by using external memory systems and connector gateways
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rgbrgb
19d ago
tbh I use 1 custom skill (workflow for completing a github issue and opening dev server/PR) and have it checked-in to my main project repo. For me, it's like a dev script basically and gets that level of care. I don't need an
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rgbrgb
19d ago
There’s kind of an interesting thread here about open source, which is usually thought of as more secure because of more eyes on the code, actually being less secure because an accidental merge can be exploited instantly with LLM’s monitori
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rgbrgb
22d ago
at Hedgy we built an MCP to give our agents read-only access to cross-system data + context about what it means [0]. daily it helps me debug customer flows and think through features and priority. the advantage of MCP is that the tool descr
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rgbrgb
23d ago
if you're using claude code, i find you can instruct it to watch the pr and iterate on ci failures. I put this in an /issue skill that completes GitHub issues in the way I like then PR's or boots dev with QA instructions if i
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rgbrgb
23d ago
or maybe more like a restaurant than a kitchen... with software development (like all product development) you need to bake in the user feedback loop like to torture the metaphors, i think we already have the factory (coding agents you can
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rgbrgb
24d ago
this is sick and the video infra sounds interesting! as a fellow san diegan i really get a kick out of seeing everyone who hit the 14 stair behind my high school https://skatanica.com/spots/5eyevxzo35tcou1n6doxkw2lx?map
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rgbrgb
24d ago
this is cool! incidentally we do a similar motion internally for members on https://www.hedgy.works how did you think about evaluating quality when designing your ranker / fit scoring?
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rgbrgb
28d ago
I’ve been curious about trying the Supabase type of RLS model for an app but haven’t yet. I like the idea of the db defined api like postgraphile and hasura but had trouble with testing and ergonomics. This looks pretty nice though, it’s co
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rgbrgb
29d ago
just tested (zai-org/GLM-5.3-Flash via together.ai) against latest DeepSeek-V4-Flash for a very specific task and thought i'd report here... - price: DS4 wins... $0.0235 vs $0.0242 for ten tasks - latency: GLM wins... 108s total a
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rgbrgb
1mo ago
for knowledge writes in setoku, any agent that does queries can propose knowledge or edits. edits are flagged for admin/curator review. agents can query the pending and confirmed knowledge but basically have a flag that tells them what
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rgbrgb
1mo ago
nice :) > love to hear how you did it this is ours we built for Hedgy https://setoku.com our approach was to build a data lake that sucks company data into clickhouse and staple that to a knowledge store. this way the brain h
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rgbrgb
1mo ago
this looks great! what are you using it for? i like the idea of being able to use one of these (sandboxed) within a larger program kind of like how I use LLM's to do small tasks within my apps now but with a few tools (web search). my
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rgbrgb
1mo ago
yep, i found this page after doing a misclick
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rgbrgb
1mo ago
i love postgresql but once we added ai-generated dashboard to our homegrown analytics tool [0] some of the crazy (amazing) dashboards that the ops team was building began accumulating horrendously slow db queries. I considered dynamically a
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rgbrgb
1mo ago
CI with regular e2e tests usually gets pretty expensive and slow. How does cost compare to regular playwright tests?
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Tell HN: I never mean to flag anything
3 points
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rgbrgb
1mo ago
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