Leonardo Grasso

780 posts

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Leonardo Grasso

Leonardo Grasso

@leogrease

👨‍💻 Open Source Software Engineer @sysdig 🦅 Daily taking care of @falco_org 📚 @OReillyMedia author 📣 Tweets my own 👶🐈

🇪🇺🇮🇹 Katılım Ekim 2011
559 Takip Edilen369 Takipçiler
Leonardo Grasso
Leonardo Grasso@leogrease·
@eddy_mane Good points. If I find the time to perform a detailed evaluation I will share. Possibly on an open source code base.
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.mane🏴‍☠️
.mane🏴‍☠️@eddy_mane·
@leogrease Useful datapoint. The next thing I’d want is a replay pack around the 6 findings: finding IDs, repro tests, prompt/model hashes, false-positive/triage time, and which issues survive a clean checkout. That’s what turns “LLM code review worked” into an eval harness.
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Leonardo Grasso
Leonardo Grasso@leogrease·
Thanks to SSD streaming I was able to try DwarfStart on my M3 Max 64GB. I let DeepSeek Flash analyze a ~50K LOC codebase. Then I asked Opus to double-check and review the findings. I was impressed that 5 of the 6 findings reported by DeepSeek were accurate.
antirez@antirez

Today I had an harder than usual question for my local model (security). With SSD streaming now DwarfStar can run DeepSeek v4 PRO at 4.15 t/s, and this was more than enough to get a detailed reply. I already feel "safer" than before in my AI future. M5 max 128GB, model 433GB.

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Leonardo Grasso
Leonardo Grasso@leogrease·
I meant "correct and accurate" at the level of any other SOTA model. The only incorrect finding was about a race condition that Opus wasn't able to reproduce, still a possible issue to pay attention to. @antirez , thanks for this project 🙏
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Leonardo Grasso
Leonardo Grasso@leogrease·
@EjoWu9374 @falco_org In my empirical experience, the agent generally follows the protocol as hard constraints. I tried it mostly with Opus and sometimes with GPT5.5. 99% of the time it works as expected. I believe this works because guidelines are redundant enough to allow it to self correct.
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流云AI
流云AI@EjoWu9374·
@leogrease @falco_org Nice idea. The useful bit is making the agent carry a domain checklist instead of asking it to infer Falco rules from a generic repo scan. I’d be curious how much of this is examples vs hard constraints.
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Leonardo Grasso
Leonardo Grasso@leogrease·
Hey folks, I've just open-sourced falco-expert after working on it for a few months 👇 github.com/leogr/falco-ex… It's a knowledge base that turns AI coding agents into Falco experts (cc @falco_org ) Let me know what you think about it. Feedback is very welcome! 🙏
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Leonardo Grasso retweetledi
antirez
antirez@antirez·
What Europe should do right now: 1. Call all the European researchers working on AI and return them back with same salary (or they can stay but switch career). 2. Fill EU places having GPUs with money, and put those people there. 3. AI partnerships with China + India.
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Leonardo Grasso
Leonardo Grasso@leogrease·
I likely picked the most trustworthy day of the year to launch this project: persons.md WDYT? 🤔
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Leonardo Grasso retweetledi
antirez
antirez@antirez·
I'm thinking that because of automatic programming certain complicated and elegant programs we wrote in the past may basically become a form of art for future generations. Like the manuscript books of the middle age for us.
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Leonardo Grasso retweetledi
Sysdig
Sysdig@sysdig·
Used by 60% of the Fortune 500, @Falco_org is the open source standard for runtime security.   🎥 At KubeCon, core maintainer @Leogrease talks real-time detection & how AI may reshape OSS. Join Sysdig's Open Source Community for exclusive Falco insights: okt.to/RM4nrA
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Leonardo Grasso retweetledi
falcosecurity
falcosecurity@falco_org·
Hey Falconers!🦅 Join our Falco Community Call today, at 4:00 PM UTC for project updates, lightning talk (Federico Di Pierro on the new container plugin), and live Q&A. Add agenda items 👉 hackmd.io/3qYPnZPUQLGKCz…… Missed our last call? Watch it on YT 👇 youtube.com/playlist?list=…
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Keşfet

@eddy_mane @antirez @EjoWu9374 @falco_org @CloudNativeFdn @sched @ha_joslyn @sysdig