Users of most AI coding products are still stuck... in the vibe-coding loop: Prompt → Test → Debug → Adjust → Fix Errors → Repeat Bubble Code users take a different path. State the product goal. If the result needs improvement, submit a Bubble Up. Then Bubble Engine takes over: testing, evaluating, and optimizing the SOP behind the scenes — turning one hard task into a reusable execution path. Not endless vibe coding. Better SOPs, upgraded by the Bubble Engine.show more

Code mode is not a one-shot build. If the... result does not fully match your product goal, submit a Bubble Up. Bubble Engine will test, evaluate, and iteratively optimize the underlying Coding SOP, moving refinement from the user to the system. State the goal. Build with Bubble Code. Improve with Bubble Up.show more

No setup. No coding workflow. Users state the goal.... Bubble Code runs the right Coding SOP. Just switch to Code mode, upload an image, and tell Bubble Code what business you want to build. Enjoy software created from one voice prompt. 🫧show more

Users state the goal: build a site that tracks... Iran-related Polymarket markets and breaking movements. Bubble Code routes it to a Polymarket Agent SOP, connects live market data, sets monitoring keywords, and builds Iran Pulse: a working dashboard for probabilities, volume, liquidity, abnormal changes, and breaking signals. This is not a normal AI demo or static page. It is a ready-to-use market-monitoring product that can refresh, run, deploy, and be used directly.show more

UltraCode is running over 100 Opus 4.8 agents right... now. This is the future of software development. Not 5 agents. Not 10. Over 100 working simultaneously across the entire BridgeMind ecosystem. This is what vibe coding looks like at scale. One person orchestrating a swarm of AI agents building, debugging, and shipping in parallel. We are so early.show more

We're getting to the point where AI isn't just... helping us write code; it can help launch the business behind that code too. One of the more interesting examples I've come across is **Lovie** Instead of jumping between legal websites, paperwork, and incorporation services Lovie lets founders form a US LLC or Corporation directly from AI coding tools like **Claude Code, Cursor, and Windsurf** through its MCP-first workflow. If you're already building your product inside your AI coding assistant, the setup process can become part of that same workflow instead of another tab to manage. For founders, indie hackers, and developers shipping fast, that's a pretty compelling idea. Flat **$29/month**, company formation in minutes, and it fits naturally into the AI tools many developers are already using. Feels like another step toward AI becoming a true operating system for builders, not just a coding assistant.show more

DAPPOS is bringing Onchain OS Skills from X Layer... OKX Wallet into the xBubble ecosystem, making OKX Wallet’s agent-ready wallet, trading, market data, and agentic payments protocol capabilities accessible across xBubble agents. Built on top of Onchain OS Skills, xBubble’s crypto-task SOPs help turn fragmented on-chain flows into a more seamless chat-native experience inside the xBubble app across mobile, desktop, and web. Users can monitor markets, prepare trades, manage wallet activity, and coordinate payment flows through a single conversation. Bubble Engine will continue to use Onchain OS Skills as the baseline for every future SOP iteration and upgrade. With Onchain OS Skills, DAPPOS is making agentic on-chain tasks more conversational, practical, and accessible.show more

Simplicity is at the heart of great software. This... is one of the reasons why Claude Code has been sticky for me. As a builder, I love planning and brainstorming, and this is now a key focus of Claude Code. I use Shift + Tab a lot to cycle between brainstorming, planning, and execution. This functionality provides the appropriate interface for me to either be very involved or less involved as I please. This works particularly well when building out new and complex features or entire new projects. This saves a huge amount of time. It allows me to tune Claude Code to execute and build more effectively. It also builds a loop of trust, and I often (surprisingly) find Claude Code asking for clarifications when it's confused. Coding agents don't normally do that. I have shared before on the power of brainstorming with AI for longer times. Try it and you will not be disappointed. Vibe coding is fun, but pair it with intentional development cycles, and you watch how far you can take a project with coding agents today.show more

Building is only the beginning. Managing what you build... matters too. With xBubble, every AI website created through Bubble Code is managed in one project workspace. View all deployments, track running or paused status, pause, resume, restart, or decommission projects, and jump back into chat anytime to refine your website through conversation. From creation to deployment to continuous iteration, xBubble gives users a complete lifecycle workspace for AI products.show more

An Oldie but a Goldie. Approach ➜ Power V... One of the biggest keys to a consistent swing is what happens from approach to Power V. As the knob turns toward the pitcher and into the path of the pitch, the barrel naturally falls behind your hands. We don’t need to flick it back to have it fall behind..DUH From there, don’t throw the barrel at the ball. Release it in the most direct line along the path of the pitch. Some pitches require a slightly steeper path. Others require a flatter one. But the goal stays the same: ✔️ Keep the barrel below your hands through extension. Approach = The barrel works to the side of the shoulder as the body turns toward the pitcher. Power V = The release of the lag and extension of the barrel through the baseball. Master that section of the swing, and you’ll give yourself a much better chance to create consistent contact, adjust to different pitch planes, and produce real power. Train with an expert, not an influencer.show more

THIS STUDENT WAS VIBE CODING AN APP, THEN GOT... A $55,444.78 BILL FROM GOOGLE CLOUD All because they accidentally pushed their Gemini API key to GitHub They thought the repository was private It was just a small side project, and they still had $220 in free credits left By the time they checked their email, it was already too late This video shows exactly how things like this happen and why more and more developers are running into the same problem: > One commit turned into a $55k nightmare > API keys were exposed in frontend code and even inside app binaries > People hardcoded secrets into scripts and ended up with hundreds of dollars in charges within hours > One OpenAI key was abused nearly a million times before anyone noticed Never hardcode API keys Never commit them to GitHub, even if the repository is private Never expose them in your frontend Always use environment variables and set up spending alerts Even in the era of vibe coding, security still matters Knowing a few basic best practices can save you from some very expensive mistakes If you’re a vibe coder, make sure to read the article I attached, you’ll find plenty of practical tips that could save you a lot of trouble Save this post so you don’t lose itshow more

India should host the biggest vibe coding conference the... world has seen 🚀 Everything about Vibe coding(talks, panels, AI product building, hackathon, including the biggest names in the world) come here for an ultimate showdown(think 10k+ people in a Vibecoding conference) 🔥 And I have a plan Why? Because the number of learners, founders and professionals who are building via vibe coding in India and powering the global platforms is testament to the fact that if it should happen anywhere, it is here For the last 4+ years, I have enabled 3000+ people to build and continue to do so in a new avatar(announcement soon) and I believe if the entire ecosystem is willing to come together we can create a real spectacle We have the skills, the access and the experience to pull this off. The only thing it needs is for everyone seeing this to reach out and join hands(partners, sponsors & more) to make this as big as possible I am so hyped about it that the website is set, the name is set(Vibecon) and we can make an incredible run to make it happen. Reply to this post if you think we should do this, if we have >500 responses we will get to work 🥳 Reach out if you have ideas to partner to make the biggest Vibecoding conference a reality ♥️show more

there are four types of agent loops. most people... only know one. loop engineering is a choice between four structures, each handing off one more job than the last. every one answers two questions: what starts a run, and what ends it. hand-run, you answer both yourself, every time. 1) turn-based → you prompt, it acts, you review, you prompt again. both jobs stay with you. use when requirements are still forming. 2) goal-based → "/goal hit Lighthouse 90, stop after 5 tries." an evaluator checks, a no sends it back. use when the outcome is measurable but the path isn't. 3) time-based → a clock fires, it runs "check the PR, fix CI," then waits. /loop local, /schedule survives a closed laptop. use for recurring work. 4) proactive → no human present. it watches a channel, spawns triage, fix, and a reviewer, closes the task itself. use for standing duties you can't predict. not which one is most advanced. whether your task is exploratory, measurable, recurring, or standing. the more you hand off, the less you babysit. full breakdown in the article below.show more

At Uber a big problem for design teams and... engineering teams was design source of truth. No one knew what the app truly looked like, so weekly a bunch of designers would get into a meeting room and check that the engineers correctly implemented the figma designs that they made Now with coding agents throughput of changes has increased an order of magnitude and it has become impossible to manually keep up. Here we used the Revyl CLI to create a flow of every state in the Uber design, by navigating our mobile use agent on an cloud iOS simulator. This is something that would have taken a team of designers tens of hours to recreate manually; All done in less than an hour asynchronously with a simple prompt. Enable your team to know what your users are actually seeing and empower coding agents to give your users a delightful experience without any blindspots Get started with our new free trial and create a map for your own app 🗺️show more

🚨SPACEX DIDN'T ACQUIRE CURSOR FOR TALENT A rocket company... buying software for the largest startup acquisition in history Here's what almost nobody realizes: They didn't buy a talent or a coding app. They bought the data underneath it. Cursor's users generate ~150 million lines of code a day. Every keystroke is a record of how real engineers build and fix software The exact raw material to train an AI that can code. You can't buy that on a market. You have to own the thing that produces it. So SpaceX bought a permanent data firehose for Grok. The product is almost a side effect. The entire $60B was covered by a fraction of their market-cap gains since the IPO This is a catch-up bet with Anthropic and openAI You see how they are slowly building it don't you?show more

Fable 5 comes back！It can now build playable game... prototypes. I think it is actually a signal for where AI coding is going. Making a game is not just “write some code.” Even a small browser game needs: game loop；character movement；collision logic；scoring system；UI states；physics tuning；visual feedback；bug fixing；playtesting This is why game prototyping is a great test for AI models. A model cannot fake it with a pretty answer. Either the game runs, or it does not. What impressed me about Fable 5 is that it is useful for the messy middle: turning an idea into mechanics, turning mechanics into code, debugging broken interactions, and iterating until the prototype feels playable. But here is the practical part: I would not use the strongest model for every step. For game building, I would split the workflow: 1. Fable 5 for game design + architecture 2. a fast coding model for routine implementation 3. a vision-capable model for screenshot/UI feedback 4. a cheaper model for docs, test cases, and small fixes 5. fallback when latency, cost, or output quality becomes a problem That is the real AI coding stack. Not “one magic model does everything.” More like: the right model, for the right task, at the right cost, with fallback when things break. This is why I’ve been looking at ZenMux ZenMux. ZenMux gives developers one gateway to access multiple leading AI models, with OpenAI / Anthropic / Google Vertex compatible APIs, cost tracking, quality benchmarks, auto-routing, and compensation when output quality, latency, or throughput falls short. If AI can now make games, the next question is not just “which model is strongest?” It is:how do we manage the whole model workflow Fable 5 shows the creative ceiling. ZenMux is closer to the infrastructure layer you need when AI coding becomes a real production habit.show more

THIS 38,000-STAR GITHUB REPO TURNS ONE AI AGENT INTO... A REAL TEAM THAT CAN BRANCH, VERIFY ITS WORK AND WAIT FOR YOUR APPROVAL most people still run agents as one long chain where every step waits, one failure kills the run and the full workflow starts again Task → Planner → 5 Researchers in Parallel → Skeptic → Writer → Human Gate LangGraph gives every node one job while a shared state carries the findings, decisions and context through the entire system the skeptic can reject an unsupported finding and route the work back before it contaminates the final report, while independent branches keep moving if the run crashes, durable execution resumes from the saved state instead of rebuilding everything, then human-in-the-loop pauses the graph before anything expensive gets sent or published bookmark this repo and watch one prompt turn into an actual org chart for AI agentsshow more

do you understand what Anthropic just admitted? their engineers... haven’t written most of their own code since early 2026. 80% of the code merged into Anthropic’s codebase last month was written by Claude. let that sink in. the company building the most powerful AI in the world is already being built by that AI. and the numbers keep getting wilder: → engineers are shipping 8x more code than in 2024. not because they’re working harder. because Claude is doing most of it. → Claude’s success rate on open-ended coding problems hit 76% in May 2026. up 50 points in just 6 months. → one Anthropic employee said “it’s been 5 months since I last wrote any code myself.” → Claude Mythos Preview achieved 52x speedup on research optimization. a skilled human gets 4x in 4-8 hours. → the length of tasks AI can reliably complete is doubling every 4 months. and here’s the part that keeps me up at night: in April 2026, Claude-powered agents were given an open AI safety problem and left alone to solve it. two human researchers recovered 23% of the performance gap in a week. the agents recovered 97% in 800 hours. Anthropic calls this recursive self-improvement. AI building AI. getting better. building a better version. repeat. they say we’re not there yet. but they also say it could come sooner than most institutions are prepared for.show more

$80k+/month ad accounts are quietly testing animated object ads... not influencers not classic ugc just tiny characters turning everyday problems into visuals you instantly get an aloe cooling down a clam boiling under pressure an avocado stressing on the counter you understand the idea in seconds no long explanations no expert talking the animation does all the selling ai creates the characters ai builds the scenes ai generates dozens of hooks one concept, multiple videos, endless variations to test rt + comment “creatures” and i’ll send the framework (follow for dm)show more

This is not camera footage. It is a Blender... character with 8K skin, detailed wrinkles, wet eyes, facial controls and enough micro-detail to make your brain keep waiting for the person to behave like a person. HumanPro packages that skin workflow into a Blender add-on instead of making artists rebuild it from scratch every time. The interesting AI angle is not “AI made a realistic girl.” A reusable 3D human can keep the same face across thousands of shots, then be relit, reposed, animated and dropped into completely different scenes without the identity drifting every six frames. Add Claude through Blender MCP and the workflow gets stranger: the model can help assemble scenes, adjust cameras and lighting, inspect renders and correct obvious visual problems, while the character system handles the skin and facial structure. It still does not remove the artist. Someone has to control expression, motion, lighting and the exact moment realism quietly turns into a very expensive mannequin. Most AI influencer projects are still fighting prompt consistency one image at a time. A rigged digital human is less magical, but probably much closer to how this becomes an actual production system.show more

GITHUB JUST KILLED THE WORST PART OF VIBE CODING... they shipped a free tool called Spec Kit and it already crossed 120,000 stars the fix is stupidly simple instead of tossing vague prompts at an agent and praying it doesn't wreck your project Spec Kit makes the AI write a full structured spec before it touches a single line of code it works through the problem first figures out what you want to build asks about the gaps lays out the project then it starts coding you get fewer insane bugs, cleaner output and results you can predict the flow looks like this: /constitution for your rules and standards /specify for what you want to build /clarify for the open questions before you start /plan for architecture and stack /tasks for the ordered work /implement to run it it plugs into Claude Code, Cursor, Copilot, Codex, Gemini CLI and 25+ other agents 120,000 stars, 10,000 forks, open source, shipped by GitHub itself learning to drive agents like this is most of what separates people getting hired as AI engineers from everyone still fighting their promptsshow more