Dineth Pramodya @dinethlive

@ClaudeDevs Step 1 : Wake up Step 2 : Check claude usage Step 3 : See All Models 0% Step 4 : Check ClaudeDevs X updates Step 5 : No sleep again Step 6 : Repeat

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Dineth Pramodya @dinethlive

4 days ago

@TTrimoreau AI Slops

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Dineth Pramodya @dinethlive

3 weeks ago

@odd_joel Same

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Dineth Pramodya @dinethlive

4 weeks ago

@bcherny @Hasen1506 @kaiofreitas Yeah. Feels significant different than past week. Great work!

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Dineth Pramodya @dinethlive

2 months ago

@rauchg @workflowsdk @pranaygp Randomly came to my mind and had ah ha moment.

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Dineth Pramodya @dinethlive

2 months ago

@lukasminnebeck Same!

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Dineth Pramodya @dinethlive

2 months ago

@steipete @heyitsyashu if it's 90$ or something around, it will make more sense 🤪

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Dineth Pramodya @dinethlive

2 months ago

@heyitsyashu @steipete had the same question!

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Dineth Pramodya @dinethlive

2 months ago

@unusual_whales This is cool! and found this MCP too. lumin.guru/developers (Krishnamurti Paddhati based tools + free)

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Almost every SaaS app inside Vercel has now been replaced with a generated app or agent interface, deployed on Vercel. Support, sales, marketing, PM, HR, dataviz, even design and video workflows. It’s shocking. The SaaSpocalypse is both understated and overstated. Over because the key systems of record and storage are still there (Salesforce, Snowflake, etc.) Understated because the software we are generating is more beautiful, personalized, and crucially, fits our business problems better. We struggled for years to represent the health of a Vercel customer properly inside Salesforce. Too much data (trillions of consumption data points), the ontology of Vercel was a mismatch to the built-in assumptions, and the resulting UI was bizarre. We generated what we needed instead. When you don’t need a UI, you just ask an agent with natural language. We’ve also been moving off legacy systems with poor, slow, outdated, and inconsistent APIs, as well as just dropping abstraction down to more traditional databases. UI is a function 𝑓 of data (always has been), and that 𝑓 is increasingly becoming the LLM.

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Dineth Pramodya @dinethlive

3 months ago

@PatrickAlphaC 🫤

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Dineth Pramodya @dinethlive

3 months ago

@PatrickAlphaC Love this! I receieve projects more than before because they come with after validation phase! feels more efficient than before AI period!

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Dineth Pramodya @dinethlive

3 months ago

@himanshustwts 😆

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Guillermo Rauch @rauchg

4 months ago

AI is an amplifier of your intellect and values. A mirror of your soul. If you were a confirmation bias person, AI can be catastrophic for you. There’s some way to contort almost any prompt to give you the answer you’re looking for. The extreme version of this is AI psychosis. If you’re a “more is more” product company, then you’ll inundate yourself in garbage. Imagine joining a company that invented a custom operating system, programming language, and every kind of app they need just because they can. I’m somewhat conflicted here. The more software gets produced, the more Vercel benefits. It all needs to be built, hosted, secured, and scaled. And yet I don’t think every single line of code is worth your company producing. Play the long term game.

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Andrej Karpathy @karpathy

4 months ago

I think it must be a very interesting time to be in programming languages and formal methods because LLMs change the whole constraints landscape of software completely. Hints of this can already be seen, e.g. in the rising momentum behind porting C to Rust or the growing interest in upgrading legacy code bases in COBOL or etc. In particular, LLMs are *especially* good at translation compared to de-novo generation because 1) the original code base acts as a kind of highly detailed prompt, and 2) as a reference to write concrete tests with respect to. That said, even Rust is nowhere near optimal for LLMs as a target language. What kind of language is optimal? What concessions (if any) are still carved out for humans? Incredibly interesting new questions and opportunities. It feels likely that we'll end up re-writing large fractions of all software ever written many times over.

Thomas Wolf @Thom_Wolf

4 months ago

Shifting structures in a software world dominated by AI. Some first-order reflections (TL;DR at the end): Reducing software supply chains, the return of software monoliths – When rewriting code and understanding large foreign codebases becomes cheap, the incentive to rely on