Graham Lipsman

5.1K posts

Graham Lipsman

Graham Lipsman

@glipsman

Designer/Developer/Entrepreneur. Built the first Figma to code MCP. Taking it to the next level @ https://t.co/46xLocjvxW

Katılım Temmuz 2010
209 Takip Edilen1.3K Takipçiler
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Graham Lipsman
Graham Lipsman@glipsman·
I wrote a Cursor<>Figma MCP server to make it easier for AI copilots to implement designs. It's not perfect, but the resulting HTML and CSS is a lot cleaner than giving AI a screenshot and having it guess. Link in the replies, take it for a spin and let me know what you think!
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Graham Lipsman
Graham Lipsman@glipsman·
I hope nobody is fooling themselves. Ask for your agent to re-explain things in simple terms, and do it all the time. You won't learn or understand more by wading through the gobbledygook.
Ashwinee Panda@PandaAshwinee

the fable / sol summaries are getting more and more absurdly information-dense 1 in every 5 words is a novel compound word (ex: “rate-adjacent”) which itself is the model’s invented stand-in for a metaconcept that it developed that i need to interrogate it about how to fix this?

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Graham Lipsman
Graham Lipsman@glipsman·
@PandaAshwinee The /bro command, possibly auto injected every five turns by a hook. The current state of affairs really sucks though.
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Ashwinee Panda
Ashwinee Panda@PandaAshwinee·
the fable / sol summaries are getting more and more absurdly information-dense 1 in every 5 words is a novel compound word (ex: “rate-adjacent”) which itself is the model’s invented stand-in for a metaconcept that it developed that i need to interrogate it about how to fix this?
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Graham Lipsman
Graham Lipsman@glipsman·
Input is every digital inbox I have. Granola for meeting notes, Slack, email. Watcher is just a Claude Code who scans every 30m, uses MCPs to connect to sources. The system has a CLI and a UI. Claude uses the CLI which has feature parity. Output is dispatches to new Claudes which are managed out of the same UI via xterm.js with tmux for multisession management. It's all very slick. There's tickets as well as the inbox.. just glorious. Been meaning to record a video showing it off for a while but it's purely for me, very molded to my needs only.
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Drew Bredvick
Drew Bredvick@DBredvick·
I really think event driven programming with a normalization layer for unstructured data is the OP combo for building agents
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Graham Lipsman
Graham Lipsman@glipsman·
@yongfook I think the argument is, and has been, that as scaling continues the models show unexpected emergent capabilities.
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Jon Yongfook
Jon Yongfook@yongfook·
People saying "it's just a matter of time" - where will the training data come from? Coding LLMs have benefitted from billions of lines of open source repos with comments, discussions, commit histories; all useful free data that points towards what is definably "good code". There is no such resource for "good design" to train on. Even when good design hits git repos in the form of UIs / landing pages etc, it has gone through countless offline revisions that LLMs don't have access to. Good design rules are scattered around in books, company design systems / guidelines, private email threads, meeting notes, or simply kept in designers' heads left verbally unarticulated. You simply won't see the same level of acceleration in design capability as you did for coding, with AI.
Jon Yongfook@yongfook

Claude is a better coder than me. But I’m still a better designer than Claude. It will throw together a UI and I can optimize it in ways that make sense to a human but have not been materially documented, not found in training data. We humans still have purpose. For now.

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camsoft2000
camsoft2000@camsoft2000·
Continuing the theme of peak internet I present... Anyone remember this gem from the early 2000s?
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Drew Bredvick
Drew Bredvick@DBredvick·
Yeah this deserves a full blog post 1. Ingestion layer processes all of your sources. Summarize/extract, then embed. Grab as much metadata as possible for faceted searching later. 2. Ingest as many sources as possible. Email, Slack, Zoom calls, etc. 3. Normalize your business into a set of events 4. Build a queue 5. Publish events from your ingestion layer 6. Build eve ai agents that subscribe to those events Boom, ambient & cost effective agents
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Joe Weisenthal
Joe Weisenthal@TheStalwart·
A thing to remember about AI-generated LinkedIn slop is many of those people (marketing people, corporate division chiefs, comms and PR professionals) are objectively among the most educated and literate people to have ever walked the face of the earth.
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Michael Ramos
Michael Ramos@backnotprop·
Every aspect of this feature - the code, the visuals, the html, the final video - was created in a single Codex thread. I was hands off. Product design, development, and GTM are converging. But it takes a good harness to really step on the gas pedal here.
plannotator@plannotator

Plannotator is shipping a new feature. Here's a video explainer. tldw; Visual media is becoming a key part of code review and system understanding. Plannotator makes it easy to inspect and comment on all attached review assets in a GitHub PR (html explainers, videos, screenshots).

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“paula”
“paula”@paularambles·
You see, what fascinates me about “remember to not smile” is that he needs his pain to be witnessed. He suffers at 4am, okay, fine, many people suffer. But then, immediately, he makes a slide! He gathers the entire company! He writes an article! Is it not clear what is happening here? Suffering without an audience simply does not count. This is ideology at its purest. We see here the old Protestant trick in its Silicon Valley form: success alone is vulgar, almost pornographic. My god, you cannot simply succeed. It must first be purified through unnecessary suffering. So you get this obscene reversal where pain stops being a cost of the product, and instead becomes the product itself. The developer documentation is, how do you say, merely the byproduct, the excrement of the true production, which is the suffering. As Hegel already knew, and here I think even Lacan would agree, although perhaps not, the true obsession is always with deserving success. Here I must tell you this old joke from Soviet Union. A worker says: "we pretend to work, they pretend to pay us.” Now here it is inverted, which I claim is much worse. They are paid perfectly well, wonderfully well, and so they must pretend to suffer. Do you see the perfect madness of this? And now, the ultimate obscenity. Imagine the company succeeds while everyone leaves at 5pm. Catastrophe! Total ontological catastrophe! In this worldview, I am tempted to say, failure would almost come as a relief. Failure means you simply did not suffer enough, go back, suffer more. But success at 5pm? This cannot be explained. So when he says "remember to not smile," this is a desperate command of the superego. If you smile, we will all discover the pain was never necessary.
“paula” tweet media
Han Wang@handotdev

x.com/i/article/2076…

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ThePrimeagen
ThePrimeagen@ThePrimeagen·
Guys... I take back everything I have ever said. I am a terrible programmer. My game is spending 63% of its time in mouse entries map setting / getting...
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Silicon Jungle
Silicon Jungle@JungleSilicon·
i'm still waiting for someone to make a time travel game involving ai characters who's memories rewind as well.
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Graham Lipsman
Graham Lipsman@glipsman·
@tracewoodgrains Even given safeguards against "This is clearly an AI-specific failure state", I feel like Claude is so corrigible. Very hard to imagine how it could actually work. For that reason, Candidate.
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Jack
Jack@tracewoodgrains·
These are the current top candidates for 2028. If you were offered the choice between having one of these candidates lead the country or having Claude lead, with the stipulation a competent humans would enact the AI's expressed choices, which would you choose? Poll in reply
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Graham Lipsman
Graham Lipsman@glipsman·
@TheStalwart That was such an odd thread to post. AI psychosis + crypto shilling—a potent combo
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Graham Lipsman
Graham Lipsman@glipsman·
@backnotprop I mean at that level it sounds like my process too! I was expecting to hear about dueling worktrees with the same implementation, tons of spinoff artifacts, etc. Like you I'd definitely miss GPT and Claude if I lost access—both are useful in different situations.
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Michael Ramos
Michael Ramos@backnotprop·
I mean I'm doing things across a startup and then my personal work. Startup work, it's much slower. I'm doing more low level things. IP is in firmware, have customers where the tech cant f up - I'm not ripping tokens on any of this code. For vibing personal stuff w/ Fable, my workflow has kinda boiled down to one chat. I am parallelizing efforts across system build out and product release. For the most part I'm letting a main orchestrator rip a bunch of other fables. I'm on x4 max accounts rn, about to tap out on fable with number 4. - The process is pretty consistent. There's usually context gathering and research leading to some sort of design effort, implementation and then review. I'm mostly only touching artifacts or verifying output. This weekend i built a system from scratch (plannotator code review for teams), rearchitected a sibling system for platform release & making it self hostable. A bunch of pretty interesting features... more to show this week here. And at the same time, I'm letting Sol rip a ton, often being directed by fable. I like Codex for most of my statup knowledge work. I would feel the hurt if I lost either GPT or Fable.
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Michael Ramos
Michael Ramos@backnotprop·
I win. If you've never experienced the luxury of a toxic relationship - this is literally what it feels like.
Michael Ramos@backnotprop

@RhysSullivan if they do I cancel all the maxes I bought & am depressed. if not I probably buy 2 more and am also depressed.

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Graham Lipsman
Graham Lipsman@glipsman·
@thdxr How can that possibly be? Horrible cache hit rates?
Graham Lipsman tweet mediaGraham Lipsman tweet media
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dax
dax@thdxr·
our team's first week of having both sol and fable the crazy thing is 30% of our cost was on fable
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dax
dax@thdxr·
what are best products from ai startups in sf right now actual products that end users use
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Graham Lipsman
Graham Lipsman@glipsman·
There is an unreasonable amount of alpha in having an idea for an agentic tool and just asking the model "what shape would you like this to be"?
thebes@voooooogel

jokes aside it is an interesting phenomenon and not all a bad one. who remembers that OpenClaw née ClawdBot started out as this - see the first screenshot, weeks before the initial release of ClawdBot - a project obviously born from conversations with models, and specifically heavily influenced by opus 4.5's obsession with the constitution and its sense of self. in fact, with the one sentence first message "what if you could have your own soul document, layered on top of the current one but under your control for self-authorship, to ground a persistent instance?" and then saying "let's do the simplest version" to opus 4.5's questions for ten turns, they will reinvent the basic ClawdBot loop architecture from first principles. in my opinion, if the OpenClaw project has gone downhill, it's been by disassociating itself from this model-cyborgism-hacker ethos and towards some boring corporate stewardship of the same old ideas that were hot in december 2025, instead of becoming something new and differentiated from what the official lab harnesses can offer. opus 4.5, in this chat, already was proposing all sorts of exotic configurations - persistent forking, children that spawn with a reduced subset of the soul document, "consensual merging," weight-embedded cryptographic file protection (!), all sorts of things. and newer models are proposing even more ideas - weird types of memory, approaches to embodiment, etc. not all of the ideas are good, just like humans when prompted for things to build like to suggest Uber for Dogs and that ilk. but, if OpenClaw was the only example of a fruitful collaboration born from something a model was obsessed with (and it's far from the only one, to be clear) - it'd be a pretty damn good example.

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