robszumski

Joined 15 years ago

Karma

1,578

Submissions

431

Member since

Feb 8

FOSSA head of Applied AI after acquisition of EdgeBit in July 2025.

   FOSSA (acquired EdgeBit) - Head of Applied AI
   EdgeBit (YC W23) - CEO - https://edgebit.io
   Red Hat (acquired CoreOS) - Director of Product
   CoreOS (YC S13) - early employee

Contact me: robszumski.com

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Recent submissions

Comment · 9 days ago

it really baffles me that Apple lets this happen with a design system/framework that has had years of battle testing. Clearly it's not working if today's apps are all insanely hard to use on a daily basis. Users that are power users. The system needs to protect us from app devs being able to ship stuff this hard to use. The remote is not helping of course.

Comment · 2 months ago

I was part of the team that proposed this manner of operation (Kubernetes Operator)[1]/controller and it's immensely cool to see a competent team make what seems like an incredible one that really scales the business.

I had always assumed databases would be the silo that had the most benefits for an Operator. There are a few good Postgres Operators, but not many outside of that which actually do the day 2 operations.

[1]: https://operatorhub.io/what-is-an-operator

Comment · 3 months ago

I'm sure they take detailed close out photos and likely video of the entire handling process.

Comment · 3 months ago

Really cool. It would be interesting to see a demo of an app that is clearly more bespoke, like your Tesla account, online banking, movie theatre ticketing, etc.

Comment · 8 months ago

example analysis on a Dependabot PR: https://github.com/daniellockard/tiltify-api-client/pull/36#...

Comment · 8 months ago

I commented elsewhere but our team built a custom static analysis engine for JS/TS specifically for the dep update use-case. It was hard, had to do synthetic execution, understands all the crazy remapping and reexporting you can do, etc. Even then it’s hard to penetrate a complex Express app due to how the tree is built up.

Comment · 8 months ago

Totally hear you on the noise…but we should want to auto-merge vs ignore, no? Given the right tooling of course.

Comment · 8 months ago

We’ve built a modern dependabot (or works with it) agent: fossabot analyzes your app code to know how you use your dependencies then delivers a custom safe/needs review verdict per upgrade or packages groups of safe upgrades together to make more strategic jumps. We can also fix breaking changes because the agents context is so complete.

https://fossa.com/products/fossabot/

We have some of the best JS/TS analysis out there based on a custom static analysis engine designed for this use-case. You get free credits each month and we’d love feedback on which ecosystems are next…Java, Python?

Totally agree with the author that static analysis like govulncheck is the secret weapon to success with this problem! Dynamic languages are just much harder.

We have a really cool eval framework as well that we’ve blogged about.

Comment · 8 months ago

Thanks for sharing, really helpful to see your thinking. I haven't fully embraced FaaS myself but never regretted it either.

Curious to hear more about Renovate vs Dependabot. Is it complicated to debug _why_ it's making a choice to upgrade from A to B? Working on a tool to do app-specific breaking change analysis so winning trust and being transparent about what is happening is top of mind.

When were you using quay.io? In the pre-CoreOS years, CoreOS years (2014-2018), or the Red Hat years?

Comment · 8 months ago

no, but still being super impressive. CEO of a company rebuilding a CAD rendering engine because they put an LLM on top of it. So you describe the mechanical specs of the part you want and it models it. Takes all the tedium out of modeling stuff. Super cool and many applications.

Comment · 10 months ago

Same author talked about adversarial license plates that trick these cameras with a sequence of black blocks, discussed here in original form [1]. He is interested in breaking both the plate detection (ideal) and character recognition (good). The examples are pretty cool looking.

[1]: https://youtu.be/Pp9MwZkHiMQ?&t=1428

Comment · 10 months ago

exactly. standard move when you aren't going to get a second shot.

Comment · 11 months ago

We built and launched this product about 2 months ago, HN thread here: https://news.ycombinator.com/item?id=45439721

Totally agree that AI is great for this, it will work harder and go deeper and never gets tired of reading code or release notes or migration guides. What you want instead of summaries is to find the breaking changes, figure out if they matter, then comment on _that_.

Comment · 1 year ago

If a giant chunk of the constellation can act as a truly huge antenna, what can you get from that? Super high resolution? Seek/dwell time on a target that is effectively infinite?

Comment · 1 year ago

It requires you to go deep in both the code analysis and the research, which is expensive at their scale

And, as someone who's start up (EdgeBit was acquired by FOSSA recently) wrote a new JS/TS static analysis engine, it's just hard to get correct.