Ben Bleikamp
@bleikamp
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software designer, co-founder at https://t.co/BXD0uWLLTj, prev. head of design @github, built design tools @meta, long time surfer of the information superhighway
Mill Valley
Joined February 2008
We figured out a new way to work with infra data: not old static dashboards, not “AI on every click” chaos. But generative UI with structure. Cased generates a controller, validates it, then runs real data: fast & predictable. AI does the thinking, UX stays fast. Check it out:
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Really like this visualization of building a feature with an LLM. This is why experienced developers are so productive. Lots of small threads, some researching, some implementing pieces of the larger feature. 200k Tokens is Plenty https://t.co/wDZUDhic2I
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generative (and extremely fast) infra dashboards for you
coming very, very soon from Cased: generative, context-aware dashboards for every single deploy. aware of previous deploys. knows your system, knows all your integrations. the exact info you care about it. don't guess at what you need.
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coming very, very soon from Cased: generative, context-aware dashboards for every single deploy. aware of previous deploys. knows your system, knows all your integrations. the exact info you care about it. don't guess at what you need.
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Cased develops AI agents that assist you in debugging production issues. Now, you can connect your @runcased and Render accounts to create automatic platform workflows triggered by Render events!
New in Cased today 🚢 Connect with @render to trigger Cased Agents: automatically respond to deployment failures, performance issues, and scaling events. We also buffed up our Render metrics integration, so you can get detailed CPU, memory, and DB data. https://t.co/c87JSBZqEP
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You don't need bloated last-gen, overwrought cloud SaaS for modern CD. You definitely don't need bolted-on AI features in that same software (even if they have a giant booth at re:Invent!) Use Argo. Add Cased CD. Use AI-native Cased Infra agents. https://t.co/jsZJ9mI4fr
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Every time someone says 996 is bad I am like sure we can all agree the headlights on the 996 were a mistake…but it still had a lovely silhouette But apparently they're talking about working a lot
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I was prepared to be a hater when I landed on the new PostHog site, thinking it was dumb and gimmicky, hard to navigate, annoying to use But it's lovely. The details are so good. Amazing work.
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Early on at GitHub we tried to use GitHub for *everything*. Finance, legal, HR—everyone discussed things in issues, updated their team repository, etc. This was bad: Use your product like your customers do. GitHub is a tool for developers; not legal, finance, etc.
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Sometimes finding product market fit takes the better part of a decade You're going to have to ship things and tell people about it to figure out if you got it or not A start up's only job is stay alive and keep trying to find PMF
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When you build something great people will notice, even if it's your 10th launch Anysphere launched 3 or 4 ideas on HN before Cursor Slack started as a open world game or whatever Clay was around for over 5 (!) years launching ideas that didnt work Be wary of binary advice
I am once again begging you not to squander your startup's announcements. You only come out of stealth once. You only launch a product once. You only raise a Series A once. Here's how not to fuck it up:
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(unfortunately) we made the app so fast that you barely see this
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Stumbled on Antinote https://t.co/YAW506tB5J Not sure what I enjoy trying more: new note taking apps or new browsers Reminds me a lot of using https://t.co/u97v7tGTYq but it's much prettier, has timers, todos and can send to Obsidian, feels great for writing quick thoughts.
calca.io
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Introducing Cased, now with interactive agents that do the busywork of DevOps for you. Cased is always-on: fixing problems like infrastructure drift, finding cost savings in AWS, and helping when deploys go wrong. Check out just some of what Cased can do:
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This paper is great because it puts words to something you start to understand intuitively when you work with LLMs enough: Regardless of how well they do on human tests (SAT, LSAT, etc.), they frequently fail at true conceptual understanding https://t.co/pypOcyJ2N4
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I have this horrible habit of looking at what AI influencers said about crypto a few years ago and I am not here to judge but
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Fired our financial advisor Used Claude Code to build a bunch of financial analysis tools in Python Using DSPy for "context engineering" Can run retirement scenarios, ask o3 about how a refinance impacts net worth over N years, model big purchases Took a few hours
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For the past decade an easy heuristic for finding and hiring great designers was "can they code" Learning to write enough code to prototype ideas was a great indication that someone cared a lot about their craft Claude Code, Cursor, Windsurf, etc. have made this useless (which
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Replicating or remixing "conventional UI" feels like exactly what to expect from tools built around LLMs? Truly new UI tends to come from hardware changes, not software changes, e.g. the mouse at Xerox PARC, capacitive touch in the iPhone, etc.
Cool demo of a GUI for LLMs! Obviously it has a bit silly feel of a “horseless carriage” in that it exactly replicates conventional UI in the new paradigm, but the high level idea is to generate a completely ephemeral UI on demand depending on the specific task at hand.
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