Naik Javaid

@satyanadella Credit to @mattpocockuk please for this amazing skill

Some more detail on the ROIC Intelligence App I built yesterday and mentioned on today's earnings call. I took the PDF that Brian Nowak at Morgan Stanley put together for Hyperscale ROIC this week and used Copilot code (coming in our new superapp) with a single prompt + skill (/drill-me) to create the plan, then used autopilot in auto to create the full app (with history, lookups, scenarios, what-ifs, etc). And /rubber-duck to test. And the best part is that all the artifacts are in my enterprise environment. My app is in Copilot, my code is in GitHub Enterprise; all my data pipelines/lake/semantic models are in Fabric. And everything is under Agent 365 IT/Sec/FinOps control! So this is not about Tokenmaxxing or vibe coding. Every step of the way the rails are engineered to create value, making everything a long-term reusable asset, with governance/security, and cost controls. This is the full system to drive business value. Disclosures: This is all pulled from public sources, and for illustrative purposes only...not financial advice! :) Here is the app and architecture...

@CommandCodeAI I would love to. I am a pro subscriber

Who wants to alpha test our upcoming GUI app?

with @CommandCodeAI I ship confidently with the taste, it is really amazing after v1 launch, should give it a try. I have ditched closed models and opted for CC.

One shotted UI using Opus 5 👍 Demo URL: portfolio-xi-ivory-67.vercel.app #opus5 #ui

@claudeai Wohooooo. Looks like I have to sleep late today :D

Introducing Claude Opus 5. It's a thoughtful and proactive model that comes close to the frontier intelligence of Fable 5 at half the price.

Shopify’s New Partial Tag: You’ve Been Paying Apps To Do What Liquid Now Does Natively javaid.dev/shopify-liquid… #Shopify #ShopifyPlus #Ecommerce #DTC #shopifywebsite #shopifydevelopment #shopifyplus #shopifyexperts #shopifystore #shopifytheme #shopifyapps #shopifyappdevelopment #integrations #solutions #software #architecture #development #brands #shopifybrands #shopifyextensions

The too 24 plugins, Skills and mcps to install in your Claude code to make it better 10x.

You can rank number one on Google and still be invisible where it now counts. Here is the stat that reset how I think about search. The overlap between the top Google links and the sources AI tools actually cite has dropped from 70% to under 20%. Being on page one no longer means ChatGPT, Perplexity, or Google's own AI answer will mention you. That matters, because people are moving. Zero-click searches climbed from 56% to 69% in a single year. Buyers ask the AI, read the answer, and never scroll a list of blue links. If your brand is not in that answer, you are not in the conversation. This new game has a name: GEO, generative engine optimization. It is not SEO with a fresh coat of paint. The signals are different. A few things I have watched actually move AI citations. Structure for answers, not keywords. AI cites clean question-and-answer content. Write the question a buyer would ask, then answer it in the first two lines. 83% of AI citations come from pages outside the organic top 10, so structure beats raw authority here. Put real numbers and sources in the text. AI engines lean on content with specific stats and named citations. Vague prose gets skipped. Stay fresh. Around 40 to 60% of the sources AI cites rotate every month. This is not set and forget. Old pages fall out of the answer. Get mentioned off your own site. AI trusts third-party sources. Roundups, reviews, and comparison posts feed the answer more than your homepage does. And measure it, because most people can't. Roughly 70% of AI traffic shows up with no referrer, invisible in default analytics. Check your server logs for AI bot user agents and track your brand mentions across the tools directly. The click era is not over. But the decision now happens inside an AI answer you might not even know you're missing. Are you showing up when someone asks an AI about your space? Have you actually checked?

"Can you just add this too? Should be quick." That one sentence has cost freelancers more money than any other. And it almost never comes with more budget. Scope creep hits 52% of projects now, up from 43% five years ago. For solo freelancers it quietly eats $7,800 to $15,600 a year in work you did but never billed. It rarely looks like a fight. It looks like a project that drags for months and a final invoice the client argues with. I learned to handle it the hard way. On one build, the project manager approved my estimate, we agreed the scope, and I started work. Then the CEO stepped in and wanted a chunk of extra features for the same price and timeline. Old me would have swallowed it to keep everyone happy. New me did three things instead. I pointed back to the written scope. Not to win an argument, just to show what we had actually agreed. A documented scope survives new stakeholders. Memory does not. I named the extra work as new work, calmly. "That is a great addition. It sits outside the current scope. Here is the cost and the timeline to add it." No guilt. No free yes. I kept it warm. The goal is not to beat the client. It is to protect the project so it ships well for both of us. A scope talk is a normal part of the job, not a personal insult. The CEO signed off on the change order. The relationship stayed good. The work stayed profitable. Saying no to free extra work is not rude. It is what keeps you around long enough to do great work. What is the "can you just" request that cost you the most last year?

Most jewelry Shopify stores are slow for one dumb reason: apps. A size guide app. A reviews app. A wishlist app. A currency app. An engraving app. Each one drops a script that loads on every page, whether the shopper touches it or not. The average Shopify store runs 4 to 6 apps. Jewelry stores usually run more, because the category needs ring sizers, certificate displays, metal filters, and engraving fields. Stack enough of them and you add 2 to 3 seconds of load time. That is not a small tax. On Shopify, stores that load in under 2 seconds convert at 2.4%, against a 1.4% platform average. Every 1 second of mobile speed you claw back is worth 10 to 20% more conversions. So for our jewelry clients I stopped patching. I'm building a base theme instead. It starts from Shopify's Skeleton theme, the same foundation Shopify recommends for custom theme work. Then I build the jewelry pieces in as native theme blocks: ring size selector, certificate and hallmark display, metal and karat filters, engraving inputs, trust badges. Native blocks render with the page. No extra app script. No monthly fee for something the theme should already do. The new theme block system makes this cleaner than it used to be. Blocks nest, reuse, and stay editable by the client in the theme editor. The merchant still moves things around. They just don't get billed for the privilege. Roughly 37 sections in, and the pattern holds: fewer apps, faster pages, cleaner handoff. The fastest jewelry store usually wins the sale. Speed is not a nice-to-have here. It is the product. If you run a jewelry store, how many apps are you actually paying for right now? #shopify #jewelrygifts #jewelry

The AI model is no longer the hard part. The loop around it is. Give a coding agent one prompt and it hands you a confident answer. The catch is that a wrong answer arrives with the exact same confidence as a right one. Agents rarely say "I am not sure." They just keep going. That single trait is why one-shot AI code breaks in production. It looks finished. It compiles. Then it fails on the edge case nobody checked. The fix that keeps showing up in 2026 has a name now: loop engineering. Instead of prompt in, code out, you build a loop. The agent proposes a change, something checks it against a real target, and it iterates until the check passes or it gives up honestly. I liked the pattern enough to build a small open-source tool around it: loopAI. It runs maker and checker pairs. One agent makes the change. A second agent reviews it against the goal, hunts the gaps, and sends it back if it does not hold up. The loop repeats on its own until the work meets the spec, not just until it looks done. A few choices I made on purpose. It runs as a Claude Code plugin and a CLI, so it fits the terminal instead of adding another dashboard. It needs no API keys from you to start. Less friction, faster first run. It is open source in a single public repo. Read it, fork it, break it. Install is one line: npm install -g @javaidnaik/loopai The lesson under all of it: autonomy is not about giving the agent more freedom. It is about giving it a check it cannot talk its way around. If you build agent workflows, what is your checker? Tests, a second model, a human, or nothing yet?

Almost every developer uses AI now. So why is productivity only up around 10%? 92.6% of developers use an AI coding assistant. AI writes about 27% of production code. But the average productivity bump sits near 10%. (From a study of 4.2 million developers, Nov 2025 to Feb 2026.) That number confused me too. Then I looked at my own workflow and it clicked. The tool is not the differentiator. The workflow is. I've watched two developers use the exact same setup. One ships clean features fast. The other spends the afternoon fixing code that looked right and wasn't. Same model. Same editor. Different habits. Here's what actually moved the needle for me. I stopped treating AI like a vending machine. Prompt in, code out, paste, ship. That path is where the bugs hide. AI-assisted code shows a 23.7% jump in security issues and gets rewritten faster than human code. So I run a maker-checker loop instead. One pass writes. A second pass reviews against the spec, hunts edge cases, and flags anything it can't verify. Slower per prompt. Much faster per shipped feature, because I'm not rewriting things two days later. The teams pulling 2 to 3x gains aren't using secret tools. They review harder. They measure rework, not lines of code. They know when to let AI drive and when to think for themselves. The gap between people who use AI well and people who just use AI is widening every quarter. If your AI code keeps coming back broken, the fix probably isn't a better model. It's a better process. How are you keeping AI output honest in your own workflow?

Announcing an new shopify app: Drop A Hint helps shoppers share product wishlists with friends and family via email or WhatsApp. Drop A Hint turns window shoppers into actual sales by letting customers share products they want with friends and family. Customers can send personalized hint emails or WhatsApp messages, and when someone buys the product for them, they get a "Wish Granted" notification automatically. The email builder comes with 7 ready-to-use templates that match different brand styles, and everything connects to Klaviyo. Create and customize hint emails without touching code using Drag-and-Drop Email See exactly how hints turn into sales with conversion Tracking and Analytics. Marketing Integrations & Automatic Discount Codes to encourage purchases. apps.shopify.com/drop-hint #shopify #shopifyapp #ecommerce #store

Super happy to announce my new app for Jewelry shopify stores: JewelRadar scans the Shopify Catalog so you always know what similar pieces sell for, when a competitor undercuts you, and what is quietly costing you sales on your product pages. jewelradar.com JewelRadar tracks demand, supply, and median prices for popular jewelry niches every day. Browse the snapshots free, no account needed

@claudeai I can teach it to automate few things in my own ways. Will definitely save a lot of time

New in Claude Cowork: teach Claude a skill. Record your screen while you do a task, talk through it as you go, and Claude turns it into a skill it can run again. Find it under Record a skill in the + menu of the Claude desktop app. Available on Pro, Max, and Team plans.

@mesmerlord Link please

my $1 semrush account seller guy is out of stock, sadge

Is your AI-generated app broken, incomplete, or stuck? Did you build your app using Lovable, Bolt.new, Cursor, Replit AI, Windsurf, v0, Firebase Studio, Claude, ChatGPT, or another AI coding tool, but now you’re facing errors, broken features, deployment issues, or endless AI loops? You’re in the right place. I’m a full-stack developer with years of experience building and fixing complex web applications. I specialize in taking AI-generated projects and turning them into production-ready applications. Whether your AI tool got you 80% of the way there or completely broke your project, I can help. I can help fix: ✅ Build errors ✅ Runtime errors ✅ Deployment failures ✅ Broken pages ✅ Authentication issues ✅ Login & signup problems ✅ API integration issues ✅ Database errors ✅ Payment gateway issues ✅ Stripe integration ✅ Supabase problems ✅ Firebase issues ✅ React bugs ✅ Next.js errors ✅ TypeScript issues ✅ Tailwind CSS issues ✅ Vercel deployment ✅ Netlify deployment ✅ Render deployment ✅ Railway deployment ✅ Cloudflare deployment ✅ Environment variables ✅ Broken AI integrations ✅ OpenAI API ✅ Claude API ✅ Gemini API ✅ Prompt issues ✅ Performance optimization ✅ Mobile responsiveness ✅ Feature completion ✅ Code cleanup ✅ Code refactoring ✅ Security improvements ✅ Production deployment AI Platforms I Work With: Lovable, Bolt.new, Cursor AI, Windsurf, Replit AI, v0 by Vercel, Firebase Studio, ChatGPT Generated Code, Claude Generated Code, GitHub Copilot, Cline, Roo Code, Continue.dev Technologies Frontend: React, Next.js, Vue, Tailwind CSS, JavaScript, TypeScript Backend: Node.js, Express, Laravel, PHP, Python Databases: Supabase, Firebase, PostgreSQL, MySQL, MongoDB Deployment: Vercel, Netlify, Railway, Render, DigitalOcean, AWS APIs: OpenAI, Claude, Gemini, Stripe, PayPal, Twilio, Google APIs, Shopify API, WooCommerce API, REST APIs, GraphQL Why Choose Me? ✔ Experienced Full-Stack Developer ✔ Fast Communication ✔ Clean & Maintainable Code ✔ Production-Ready Solutions ✔ Secure Development Practices ✔ AI Coding Expert ✔ Shopify, WordPress & Custom Development Experience ✔ Deployment Assistance ✔ Long-Term Support

When others are doing better than you, then you have no other choice to stay.

@claudeai Pressure from openAI lol. Their new model is crushing yours.

We're extending Claude Fable 5 access on all paid plans, as well as keeping Claude Code’s weekly rate limits 50% higher, through July 19.

Shipped llmstxt-kit: one command → spec-compliant llms.txt, llms-full.txt, JSON-LD + AI-crawler robots rules for any site. Typed, framework-agnostic, CI-gateable validator. No SEO magic promised, just correct agentic-web infrastructure. 🛠️ github.com/javaidnaik/llm…