Testing ML endpoints shouldn’t come with fear of surprise bills, data leaks, or slow responses. InferProbe keeps everything local, private, and instant.
What’s your biggest worry when testing models right now?
@princeinexile.bsky.social
@princeinexile.bsky.socialTesting ML endpoints shouldn’t come with fear of surprise bills, data leaks, or slow responses. InferProbe keeps everything local, private, and instant.
What’s your biggest worry when testing models right now?
@princeinexile.bsky.socialSo many teams skip testing the difficult inputs because it feels expensive or risky. InferProbe changes that — local, private, zero-cost edge case testing.
Which edge case have you been quietly avoiding in your models?
@devstackdaily.bsky.socialTools that help developers ship more software should also take on more responsibility for securing it, since developer pace keeps outpacing manual secret…
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@devstackdaily.bsky.socialResearchers introduce Dev-Primitives, a modular abstraction pairing repository artifacts with resident LLMs to improve long-horizon software engineering workflows. The approach aims to reduce context explosion and semantic drift…
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https://arxiv.org/abs/2610.07832
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github.com/RandyNorthrup/muse-spark-code
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https://arxiv.org/abs/2610.07898
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@hncompanion.comSeveral commenters wanted to know about future backends, asking whether native machine code or WASM are on the roadmap. The counterargument from maintainers was practical: supporting multiple compiler targets creates massive maintenance overhead. #devtools 3/4