Ben
326 posts

Ben
@benM3
Building the AI Operating System for IT. Stay tuned :)
Miami Beach Katılım Nisan 2009
129 Takip Edilen246 Takipçiler

@neerajjj6785 Honestly, UUIDs kill index performance in databases. Auto increment is simpler for joins and caching, especially at massive scale. 💀
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I feel the same about shared office spaces.
Harry Stebbings@HarryStebbings
Why Remote Work is White Collar Fraud. "I have a three-year-old and a five-year-old. The idea that I could do any work at my house is like a total fantasy. The kids come home at 3pm, your work day needs to keep going. I'm highly against it." @typesfast
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@vuetifyjs @discord_support Any chance you can prioritize getting the Vuetify 10+ year old Discord channel restored after it was hijacked? The real owners are trying to get in touch with you. Help pls <3
GIF
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48 hours since we were the target of a cyber attack that hijacked our Discord server. 48 hours we've tried to contact anyone we could to say "please shut down our server, we're being hacked", but instead am told we have to submit a ticket from the hacked account.
10 years a paying customer, thousands of dollars in subscriptions lost, an unlimited amount of history completely gone, and the attacker is STILL roaming freely on the server. What an absolute joke @discord.
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@AishwaryaDevv The logic and architecture needs to be *yours*. As soon as it isn't, you've lost the plot and you need to stop building immediately - you owe it to your users as they're at a massive security risk right now using software you are considering "disposable".
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Am I the only one getting vibe coding fatigue?
Building landing pages in 30 seconds was fun, but maintaining a complex codebase where half the logic was “vibed” into existence is an absolute headache.
Feels like we traded 1 hour of typing for 5 hours of architectural debugging later. I’ve started manually writing core logic again so I actually know where the technical debt is hiding.
Is anyone successfully managing large production projects with AI agents, or are we all just building disposable software?
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@CodeWithAmann If you are interested in solving problems with software, there has never been a better time to know how to code.
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@RazorpayCare @Razorpay Still getting private banking information from one of *your* customers emailed to me on a daily basis. Any recommendations on what I should do next for the sake of your own customers? Contact industry regulators to notify them about your lack of security? This is wild.
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Hi there, we’re here to help you with your concern. Please share your registered contact number and email address via DM so we can review the details and assist you further. Once we have this information, our team will connect with you and guide you accordingly. Regards, Team Razorpay x.com/messages/compo…
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@kapilansh_twt I have production apps going back 10 years using all of the above except PlanetScale. For the platform I am building now, I decided to build a service layer that will support either PostgreSQL *or* MongoDB, either globally or at the collection/table level 🤘
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Me: Claude, why did you do this?
Claude: Honestly, the sub-agent invented it.
tbh, I need moments like this in my daily grind - love you Claude Code ❤️ @AnthropicAI @claudeai

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🚀Rolldown 1.0 is here!🚀
Rust-based high-performance JavaScript bundler.
🏎️ Runs at native speed that’s 10~30x faster than Rollup
🤝 Compatible with existing Rollup & Vite plugins
⚡The underlying bunder for Vite 8
After 2 years, Rolldown is officially stable and has 20+M weekly downloads. Companies like Framer & PLAID are already using Rolldown in production.
Thank you to every contributor, user, and team that helped us get here.

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@eshanbuilds @levie The IAAS providers give you a substrate with consumption-based pricing - the "result" you create is NONE of their business. "Outcome-based" price for AI is just SaaS vendors flailing - like you said, impossible to meter. Per-user/agent base price + consumption pricing is the way.
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the most honest line here is "one customer could do all their work in 1 agent, another might split it into 1,000 agents, so pricing like a human seat is nearly impossible." that single sentence describes why every SaaS pricing model built on per-seat economics is structurally broken for agents and nobody has a clean replacement yet.
the deeper problem is that agents don't use software the way humans do. a human opens box, browses files, edits a document. an agent makes 400 API calls in 3 seconds and never renders a UI. the value delivered per API call is tiny. the volume is enormous. consumption pricing captures the volume but not the value. outcome pricing captures the value but is impossible to meter. every platform is going to spend the next 3 years oscillating between these two models until someone figures out how to price a result instead of a request.
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As agents become the biggest users of software, then all software has to be available in a headless fashion. Agents won’t be using your UI, they’ll be talking to your APIs.
So the question becomes what is the business model of software and this headless approach in the future?
Here are a few thoughts on how everything plays out based on what we’re seeing and doing at Box, but also conversation with other platforms.
1) Seats don’t go away for *people*. Seats are still a convenient and efficient way to have a customer use technology predictably for a set of users within a baseline set of usage. The key, though, is that when the customer pays for a seat, it has to come with a set of usage of APIs on behalf of that user that the agent can use on their behalf.
The user will need to be able to interact with their data and the underlying tool via any agent they work with, and an embedded amount of usage will come with the seat. I would imagine most software -Box included- will enable seats to work with their data at a relatively high volume via systems like ChatGPT, Codex, Claude, Gemini, Cursor, Copilot, Perplexity, Factory, Cogniton, et al. quite seamlessly. If you don’t do this, you’re DOA.
2) Agents may have “seats” if they are doing stateful work in the system, but they will be priced very differently than people. Seats (or the equivalent) can make sense when you have an agent that has its own workspace, stores its own data, needs a different set of permissions compared to the user, and so on.
If a company wants this agent to be around for long period of time, that may very well look like another “user” in the system. Openclaw-style agents highlight what this future could look like.
The only issue on pricing here is that one customer could decide to do all their work in 1 agent, and another might split it into 1,000 agents. So pricing like a human seat is nearly impossible and impractical; each company will have a different approach for this as it gets tricky perfectly trying to capture all the value within an agent seat.
3) The dominant pricing for headless use that goes above the seat allotment, or when an agent is firmly acting on their own, will be a consumption model. Many enterprises software platforms have previously operated like this with PaaS options, and agents will look like another machine user of their system.
In some cases the APIs might get priced just as they did previously, but in other cases there may need to be new types of APIs that represent the work an agent would do in one go -more akin to an outcome- instead of a series of API calls. This is especially germane when the headless software also has an agentic use-case embedded within in, such as orchestrating the process within their own system via AI.
Overall the growth of this usage pattern is effectively unbounded as the use-cases for agents operating on data in these systems will dramatically exceed what people do with their data and tools today. Every platform that goes headless (which will be anyone that wants to take advantage of agents) will need to adopt a model like this. Some may fight it initially but it’s an inevitably as there will always be more and more agents outside your platform than people.
Overall, there’s a lot of really interesting changes left to come in software due to headless use of these systems. Early days.
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@James_paul_dev Have 2-4 in live apps today. I just moved my own custom auth for the current product I am building over to better-auth. Building an IT platform and auth is too central to leave to an external third party, but I was going to sink too much time continuing to build myself.
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@alexwtlf Things are rough in the b2c and widget-style small business/solo dev-oriented b2b app game. Thankful for the world of mid-market/enterprise b2b I'm in here, where valuable products are not cloned overnight, the market is spending more than ever, and organic growth trumps all.
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Crazy women wants to sue girl for 1.4 million after she fights back against her son who tried to mug her. MMA fighter wasn't allowing some street punk to grab her pocketbook. You need to be a better mother and maybe your son won't steal. 🇺🇸🇺🇸🇺🇸 #HIAW
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@faizan10114 @weswinder Who is gonna tell them that Rocket Chat has existed for *years* 😂
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@weswinder there are literally 4 startups that got into YC because they were vibe-coded alternatives to slack.
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@weswinder And they won’t be, because only the folks who aren’t actually familiar with how businesses choose and procure the products they use think it’s about the code. AI has somehow created armies of people cosplaying as CxO decision makers on social media and it’s wild 😂
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@nateliason One line of code. One line of flawed logic in your code is all that is necessary to ruthlessly hack your app. If you are making a local sandboxed POC, do what you want. If you intend on having actual users for anything beyond a toy application, you should delete this tweet 😧
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@MacroEscobar @SimonHoiberg @forgebitz If you are building a low-value/low-risk/toy application, you may not have much to lose. If you are building something substantial and the security integrity of your app is important - you review everything and AI is still useful as an accelerator.
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