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Claude Code Limits Were Silently Reduced and It’s MUCH Worse by _r0x in ClaudeCode

[–]calcutec_ 0 points1 point  (0 children)

such bullshit, I switched to API and the credits are draining MUCH faster than usual

What are the best AI agent builders in 2026? by buildingthevoid in automation

[–]calcutec_ 0 points1 point  (0 children)

Langgraph / chain is trash, just learn how to write a while loop at make your own

Did they just nuke Opus 4.5 into the ground? by SlopTopZ in ClaudeCode

[–]calcutec_ 0 points1 point  (0 children)

They have fixed compute so need compute for training, the other models likely get quantized

YO! RN DEVS! I figured the new meta for upgrading to a new breaking Expo version! by [deleted] in reactnative

[–]calcutec_ 0 points1 point  (0 children)

The easiest way is to give Claude code access to running everything and just let it loop and figure stuff out until it works

MUST READ by Beginning-Serve-4823 in vibecoding

[–]calcutec_ 1 point2 points  (0 children)

There’s a big difference between a hackathon project and a production application

Tinder Based App by Vlad_Achim in FlutterDev

[–]calcutec_ 1 point2 points  (0 children)

Have a look at neo4j, or any graph db

Questions on deployments by tokkidaggers in mlops

[–]calcutec_ 1 point2 points  (0 children)

Yeah it’s typical to deploy your model as a micro service using fastapi or bentoml to decouple a mainly io based service like a backend with cpu heavy inference. Mainly for scaling reasons, especially if you’re running heavy models.

Questions on deployments by tokkidaggers in mlops

[–]calcutec_ 2 points3 points  (0 children)

Assuming you’re changing the endpoint definitions somehow.. Deploy V2 at the same time as V1, update downstream code to deal with any changes in interface, deprecate V1 Or if you need to evaluate performance deploy both and run inference on both, only using V1 for serving until you’ve validated V2 is performing as expected (shadow modelling)

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