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zxcq544
searching PlanetScale…
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zxcq544
2y ago
Use Continue https://ollama.com/blog/continue-code-assistant
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zxcq544
4y ago
frontend archive takes 18 gb, everything else is like 1-2 gig.
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zxcq544
4y ago
I have same opinion on react and after trying sveltekit I was really surprised how simple front end could look like. Now I can't even use anything except svelte and it's kinda sad but man it feels right for frontend.
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zxcq544
4y ago
I got nicknamed "Mr sexypants11"
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zxcq544
4y ago
VISA has 2000 rps for all payment stuff. So it is what it is :)
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zxcq544
5y ago
Have you tried GIN trigram( https://www.postgresql.org/docs/14/pgtrgm.html CREATE INDEX trgm_idx ON test_trgm USING GIN (t gin_trgm_ops);) and GIN fulltext search indexes(CREATE INDEX textsearch_idx ON pgweb USING
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zxcq544
5y ago
Search for "Project managment". There is "Product management" which sounds similar but it's a bit different: project manager talks with developers and manages task complition while product manager talks to product o
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zxcq544
5y ago
For IDE you can try goland(which is Intellij Idea for go). For replacing shell scripts go should be fine. It's closer to C than Java, so you will often write "if err!=nil" which is not a problem actually. Go feels like C with
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zxcq544
5y ago
Java gui libraries are slow to start. Java starts fast but then GUI starts to load and it takes time.
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zxcq544
5y ago
You can try these steps https://iam.georgecox.com/2021/11/24/making-jetbrains-ides-r...
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zxcq544
5y ago
It uses JVM and JVM tends to hunk all memory for object pools so it can allocate fast if needed.
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zxcq544
5y ago
I guess they mean their GUI framework architecture is close to React's architecture rather than actually using JS for GUI.
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zxcq544
5y ago
There is a company in Russia called Postgres Pro https://postgrespro.ru/ and they are those people who added json functionality to postgres. As far as I know they work on full text search for postgres now.
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zxcq544
5y ago
you should take a look at sanic https://github.com/sanic-org/sanic It's very popular among people writing async web services in python. It's like 10% faster than fast api.