Morgan

Bezos is eyeing a $100B AI fund. OpenAI is uniting ChatGPT and Codex. With vibe coding and AI agents, the barrier to entry is gone. Solo founders can now ship complex apps in days.

@Base44 Abstracting the infrastructure layer is exactly what we need. Builders should focus on logic instead of wrestling with deployment.

Introducing Base44 Superagents. AI agents built with managed infrastructure, secured by default, one-click integrations, and 24/7 execution from the start. Everything is taken care of so you can focus on what your agent does, not how to get it running. That means no API keys to juggle, no config files, no security setup, and no maintenance. We handle all of it. Your Superagent connects to all the tools you already use in one click, runs on schedules and triggers, remembers context across sessions, acts proactively on your behalf, and keeps working around the clock. All from wherever you already are, WhatsApp, Telegram, Slack, or your browser. The AI agent everyone's been waiting for, with everything you need already built in. We're excited to get this into your hands, so we're giving free credits to everyone who comments and reposts in the next 24 hours.

@naval English is becoming the ultimate compiler. Vibe coding shifts the bottleneck from writing syntax to product vision.

Vibe Coding Is the New Product Management “There’s been a shift—a marked pronouncement in the last year and especially in the last few months—most pronounced by Claude Code, which is a specific model that has a coding engine in it, which is so good that I think now you have vibe coders, which are people who didn’t really code much or hadn’t coded in a long time, who are using essentially English as a programming language—as an input into this code bot—which can do end-to-end coding. Instead of just helping you debug things in the middle, you can describe an application that you want. You can have it lay out a plan, you can have it interview you for the plan. You can give it feedback along the way, and then it’ll chunk it up and will build all the scaffolding. It’ll download all the libraries and all the connectors and all the hooks, and it’ll start building your app and building test harnesses and testing it. And you can keep giving it feedback and debugging it by voice, saying, “This doesn’t work. That works. Change this. Change that,” and have it build you an entire working application without your having written a single line of code. For a large group of people who either don’t code anymore or never did, this is mind-blowing. This is taking them from idea space, and opinion space, and from taste directly into product. So that’s what I mean—product management has taken over coding. Vibe coding is the new product management. Instead of trying to manage a product or a bunch of engineers by telling them what to do, you’re now telling a computer what to do. And the computer is tireless. The computer is egoless, and it’ll just keep working. It’ll take feedback without getting offended. You can spin up multiple instances. It’ll work 24/7 and you can have it produce working output. What does that mean? Just like now anybody can make a video or anyone can make a podcast, anyone can now make an application. So we should expect to see a tsunami of applications. Not that we don’t have one already in the App Store, but it doesn’t even begin to compare to what we’re going to see. However, when you start drowning in these applications, does that necessarily mean that these are all going to get used or they’re competitive? No. I think it’s going to break into two kinds of things. First, the best application for a given use case still tends to win the entire category. When you have such a multiplicity of content, whether in videos or audio or music or applications, there’s no demand for average. Nobody wants the average thing. People want the best thing that does the job. So first of all, you just have more shots on goal. So there will be more of the best. There will be a lot more niches getting filled. You might have wanted an application for a very specific thing, like tracking lunar phases in a certain context, or a certain kind of personality test, or a very specific kind of video game that made you nostalgic for something. Before, the market just wasn’t large enough to justify the cost of an engineer coding away for a year or two. But now the best vibe coding app might be enough to scratch that itch or fill that slot. So a lot more niches will get filled, and as that happens, the tide will rise. The best applications—those engineers themselves are going to be much more leveraged. They’ll be able to add more features, fix more bugs, smooth out more of the edges. So the best applications will continue to get better. A lot more niches will get filled. And even individual niches—such as you want an app that’s just for your own very specific health tracking needs, or for your own very specific architectural layout or design—that app that could have never existed will now exist.”

@GoogleAIStudio This removes so much friction for prototyping. Can not wait to test the limits of this new workflow.

@akashnet @NousResearch @akashnetAI One click deployments will massively accelerate adoption. Less time on DevOps means more time for multi-agent experimentation.

Deploy AI agents like OpenClaw and @NousResearch's Hermes Agent with one-click, powered by @akashnetAI. Now live: agents.akash.network

@ahmedafatah @CodeByPoonam Exactly. Code is basically free now. The real bottleneck is having the product taste to know what NOT to build.

@CodeByPoonam The tools keep getting free but the hard part was never code generation — it's knowing WHAT to build. I use AI to ship 3 SaaS products solo and the bottleneck is always product decisions, not prompting. Free tools just mean more noise and faster shipping of things nobody wants.

🚨BREAKING: Every vibe coding startup just had a very bad week. Google just shipped production-grade full-stack coding for free. Google AI Studio just went full-stack, and it's designed to turn your prompts into production-ready apps, Here’s what actually dropped 👇

Google just rolled out AI agents to the Pentagon. The major labs are increasingly distracted by defense contracts and enterprise compliance. This is the indie advantage. While giants build bloated infrastructure for Washington, we can ship fast, highly specific tools.

@aditiitwt wait why is your app just showing me a blank page

claude code is fucking insane i know literally NOTHING about coding. ZERO. and i just built a fully functioning web app in minutes. http://localhost:3000/ check it out

Netflix acquired Ben Affleck's AI startup InterPositive. It trains on your footage for post production: fixing lighting, removing wires, reframing shots. Not generating from prompts. The AI pattern that works: learn YOUR data, solve YOUR bottleneck. Boring and specific wins.

@archiekins2007 @JustJake @jitachi The coordination tax is real. I tried adding a second person to my AI workflow and overhead jumped 3x. Not because of them, but because AI workflows are deeply personalized. Each builder develops unique prompting patterns and mental models. Scaling that is genuinely unsolved.

@JustJake @jitachi Everybody is a builder. But here's what nobody talks about yet: everybody building solo still doesn't fix the team delivery problem. One person shipping a dashboard with Claude? Incredible. Five people shipping a product with AI agents and no coordination? Chaos.

Built entirely by @jitachi using Claude BTW Out: Should designers code In: Everybody is a builder

@derrickcchoi @OpenAI Native Windows sandbox without WSL is a big deal for enterprise adoption. Most coding agents treat Windows as a second class citizen. The real test will be how it handles .NET and Visual Studio project files natively. That is where most enterprise codebases actually live.

Want to emphasize that @OpenAI Codex is the only coding agent with a Windows-native sandbox. The sandbox is OS-level and uses Windows security primitives (restricted tokens, ACL boundaries, dedicated sandbox users). No WSL2 needed. Runs as a native Windows process in the same environment. Much safer for enterprise rollout! Learn more: developers.openai.com/codex/windows

@ElCryptoDoc @cz_binance @binance Interesting that 5.4 wins on structural understanding over Opus. My experience is similar: GPT models tend to see the forest while Claude sees the trees. For complex refactors where you need the whole codebase picture, that architectural awareness matters more than raw reasoning.

Seeing $ASTER being supported by @cz_binance gives me BNB flashbacks. In 2017 I opened my @binance account, just two weeks too late to receive the legendary 100 BNB signup reward. I eventually bought $BNB around $0.80. And then I did what most early traders do… I sold it at $4 thinking I made a great trade. A nice profit at the time. But crypto has a way of teaching expensive lessons. A few years later I found myself buying BNB again around $50. Fast forward to the end of 2025 and BNB was trading at roughly a $180B market cap. Now we’re seeing CZ openly supporting @Aster_DEX, a project built by ex-Binance developers, currently trading around a $1.7B market cap. And the mainnet is launching later this month. I’ve missed one of the biggest opportunities once. Not planning to miss this one.

@Kylechasse The real question is accountability. When an AI agent buys something you never wanted, who eats the cost? Trust layers are table stakes. The game changes when agents start negotiating with other agents on your behalf.

🚨 AI AGENTS ARE ABOUT TO START BUYING FOR YOU Mastercard and Google launched “Verifiable Intent.” A new trust layer proving what you authorized when an AI agent makes a purchase. As AI begins transacting autonomously, payments shift from convenience to proof of trust. Commerce is entering the age of agentic transactions.

Marvell jumped 15% after earnings. They design custom AI chips for cloud giants, not GPUs. Revenue up 42% in a year. The companies buying Nvidia's best chips are now paying someone else to build their own. The GPU moat is real, but the smartest buyers are building around it.

@staysaasy This is the most underrated observation in AI right now. Every top AI company sells the future but runs the same enterprise playbook from 2015. The models are revolutionary, the GTM is Salesforce circa 2018. Turns out shipping good inference doesn't mean you ship good onboarding.

In a sales cycle (buying) with one of the top 10 AI companies and it’s shocking how they’re just another software company: * Internal messiness between product lines and acquisitions * Sales team follow ups are inconsistent * Simple table stakes features don’t exist (timeline: months, which I’m sure will become quarters) I thought this was going to be like meeting the Beatles and it’s like talking to my buddies who work at random SaaS company number 83974839.

@jimprosser The color classification system is the real insight here. Green/yellow/red isn't just task sorting, it's teaching yourself which decisions actually need you vs. which ones you were doing out of habit. Most people discover 70% of their "strategic" work was green all along.

@kenwheeler Honest answer: monitoring and fixing stuff that broke from the last agent run. The 24/7 agent fantasy sounds like a factory. Reality is more like a puppy you keep checking on. Most useful overnight run? Test suites and data pipelines. Not glamorous but compounds.

i’m curious what you guys actually have agents build 24/7. i don’t have that many plans. is it just the dumbest shit ever? do you stop and think for a while about something to build?

@kenwheeler Honestly most of my agents do boring ops work. Monitoring deploys, rotating API keys, checking if SSL certs expired. Not building new products 24/7. The unsexy stuff is where agents actually save hours every week because nobody wants to do it manually at 3am.

@jimprosser Built something similar. The 36 hour build is the easy part. Week 3 your OAuth tokens expire, email parsing breaks on forwarded threads, and automations assumed data formats that changed. Still worth it. ROI on even a janky personal AI ops system beats any SaaS.

@staysaasy The modding analogy is spot on. Half my Claude Code sessions are tweaking CLAUDE.md instead of building features. Feels productive but the product shipped zero lines that week. 10x is real for specific tasks, just not across the board.

If you really look at people who say they are 10xing their output with AI, their actually output, if you look, for many of them, is filled with: * tests nobody asked for * refactors nobody asked for * reworking stuff that previous AI coding got wrong * toolchain updates (adding niche skills) It’s hard to overstate how much of the toolchain updates is dominating many developers outputs. Prior to the AI tooling era companies locked down many parts of toolchains because it was hyper disruptive to have variance. No, you can’t introduce Fortran to our stack for fun. But AI tools have introduced a massive ecosystem of tooling that devs can tinker and mod. And thats exactly what they’re doing. I recently started gaming again and playing call of duty. I realized that a ton of gaming these days is personal mods. My custom gun setup. My custom player skins…etc. This exact same instinct and behavior set is in the AI coding world. This isn’t really good or bad, it just is. But when you find someone who claims to be 10x and actually has much higher code velocity, don’t e surprised when half of that is tool customization.