Astra is now the best cybersecurity model in the world on @vercel DeepsecBench. It pulls off in 49 minutes what took Sol ~4 hours, with a better score, at nearly the same cost.
2026-09-05·x.com ↗
Recommendations you can check.
Who uses, recommends or left Astra, in their own words: each a verbatim quote with a link to where it was said.
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Astra is now the best cybersecurity model in the world on @vercel DeepsecBench. It pulls off in 49 minutes what took Sol ~4 hours, with a better score, at nearly the same cost.
2026-09-05·x.com ↗
Been using Astra for the last few weeks and it’s so good and proactive. There’s a bunch of PRs on vitest, tsx or SwiftPM where Astra debugged OC and ended up finding and patching issues in upstream dependencies.
On the model he has been running his own agent work through for several weeks.
2026-09-03·x.com ↗
Astra is a remarkable piece of technology. Earlier agents often tried to dampen my ambitions—they’d push me to do “pilots” or “proofs of concept.” Then agents started meeting my ambitions. Astra is the first agent that routinely raises my ambitions. I encourage you to try it!
2026-09-03·x.com ↗
Every entry is a verbatim quote and a link to the public post it came from. Nothing is paraphrased. If it is not on record somewhere public, it is not here.
The verdict is what they actually said: loved and liked are explicit; recommended means they told others to get it; uses means they only say they use it; read is a book on their public shelf with no verdict; mixed and disliked are kept too.
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The shading behind a date shows how dated a recommendation is for its kind of thing.
The shading behind a date shows how dated a recommendation is, for its kind of thing. Fully green is recent. It drains a quarter at a time as the post gets older, and is empty once it reads as dated.
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