pastescreenshot

17 ms·

1.
by pastescreenshot 6mo ago
The interesting question to me is not whether the system can generate a plausible PR-time test, but whether the useful ones survive after the PR is gone. If Canary catches a real regression, how often can that check be promoted into a stabl
2.
by pastescreenshot 6mo ago
The result is interesting, but the practical question for me is where the compute bill lands once you include both training and serving. If a fixed-data regime pushes you toward ensembles plus chain distillation, is the endgame “serve the e
3.
by pastescreenshot 6mo ago
Probably worse in the boring B2B way, not the consumer-breach way. Stryker is deep in hospital operations, so the immediate risk is supply chain and support disruption rather than leaked patient data. The Krebs post says one hospital system
4.
by pastescreenshot 6mo ago
The useful distinction here is not just AoS vs SoA, it is moving expensive work off the hot path. The biggest win in the article seems to be caching the sort/filter inputs so lock-taking and cache misses happen on updates, not during e
5.
by pastescreenshot 6mo ago
It is actually pretty useful if you own a few mechanical watches. Daily rate tells you how annoying the drift will be, beat error can hint that regulation or service is due, and measuring in different positions gives you a decent sanity che
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by pastescreenshot 6mo ago
I think that is right technically, but there is still real migration pain here for teams that quietly depended on the free hosted path. The annoying part is usually not swapping providers. It is finding every place license issuance, renewal
7.
by pastescreenshot 6mo ago
This is neat. The thing I would most want in the README is a benchmark section showing where it wins and where it does not. My guess is long GPU bound transcodes look great and tiny file churn workloads probably do not. Having that boundary
8.
by pastescreenshot 6mo ago
The rewrite version of this that has gone best for me is to do it as a strangler, not a reset. Pick one ugly workflow, lock in current behavior with characterization tests, rebuild that slice behind a flag, repeat. You still get to fix the
9.
by pastescreenshot 6mo ago
What has worked better for me is splitting authority, not just prompts. One agent can touch app code, one can only write failing tests plus a short bug hypothesis, and one only reviews the diff and test output. Also make test files read onl