Everyone's shipping code with Cursor, v0, and AI tools — but how many of you are actually writing tests? Yeah, that's what I thought. Testing is the biggest gap in AI-assisted development right now. You can vibe-code an entire app in a weekend, but if you're not testing it, you're just shipping bugs faster. KaneAI by LambdaTest is an AI-first testing platform that lets you generate full end-to-end test suites from a PDF document, natural language, or even Jira/Linear tickets — no code required. It spins up multiple AI agents that run your tests in parallel across 3,000+ browser and OS combinations. I'll walk you through the entire workflow — from dropping in a PDF test plan to watching AI agents navigate a live e-commerce site, generate test cases, and export the code for your own test suite. We'll cover: ✅ Why most developers skip testing (and why that's a problem) ✅ Generating test scenarios from a PDF in under 19 seconds ✅ Running 5 concurrent AI agents on parallel test sessions ✅ Watching AI navigate a website with zero selectors or instructions ✅ Exporting test code (Playwright, Cypress, Selenium) — no vendor lock-in ✅ Jira & GitHub integration — tag @KaneAI on a PR to auto-generate tests ✅ Creating test runs with HyperExecute (70% faster than traditional cloud grids) ✅ OTP authentication testing and dynamic data population

Raise your hand if you've ever spent DAYS setting up Stripe webhooks just to know if a user is on the free plan or the pro plan 🙋‍♂️ I just dropped a new video showing how I added full subscriptions to a SaaS app with literally ONE component. No webhooks. No Stripe SDK. No database syncing. Clerk Billing is built on top of Stripe (same fees) but handles everything — pricing tables, checkout flows, feature gating, plan switching — all tied to your users automatically. Go watch it and let me know — what's YOUR biggest headache when adding subscriptions? 👇

We’re evolving the series. What started as “🔴 Let’s Build a ___ Clone” has now grown into Let’s Vibe Code the Right Way — a more intentional, AI-first approach to how we build today. Same energy. Same real-world projects. But now with structured workflows, smarter prompting, and modern dev systems guiding every decision. Episode 1 kicks off with an Indeed clone — not just to replicate it, but to show how we design, think, and ship in 2026 and beyond! 🚀 Build a full-stack Indeed Clone (Jobly) from scratch using Next.js 16, Convex, Clerk, and Tailwind CSS v4! This is a multi-tenant, hybrid B2C/B2B SaaS app — job seekers get a consumer-grade experience while employers operate in fully isolated company workspaces powered by Clerk Organizations. Real-time data flows via Convex mean zero polling, instant UI updates, and a reactive architecture that scales. 🎯 What You’ll Learn: ✅ Next.js 16 App Router with Server/Client Components & proxy.ts middleware ✅ Multi-tenant architecture — isolated company workspaces via Clerk Organizations ✅ Hybrid B2C + B2B model in a single codebase (consumer job seekers + business employer dashboards) ✅ Clerk authentication, organizations & billing for subscriptions & feature gating ✅ Convex real-time reactive database — no polling, instant updates across all clients ✅ Role-based access control (Admin, Recruiter, Member) per organization ✅ Plan-based feature gating (Free / Starter / Growth tiers) with Clerk Billing ✅ Clerk webhook sync to Convex via Svix verification ✅ Full-text search powered by Convex search indexes ✅ Convex file storage for resume uploads with signed URLs ✅ shadcn/ui + Tailwind CSS v4 for a modern, responsive UI ✅ Mobile-responsive design with sidebar & bottom nav layouts ✅ Tiptap rich text editor for rich job descriptions ✅ Zod + React Hook Form for type-safe form validation ✅ Full hiring pipeline with real-time notifications at every step ✅ Database seeding script for realistic dev data + SO MUCH MORE!

If you've received surprise API bills and limit warnings - you're not alone! I made this desktop widget to keep an eye on Molty's token spend and my monthly budget. Please give it a try and let me know what you think! Thanks - Liz

Watch my latest video here 👉 https://youtu.be/AWu68zRcHHk Most people are running AI agents on their local machine — which means they go offline when your laptop closes, have full access to your personal files, and can brick your dev environment if something goes wrong. This video is all about how to deploy OpenClaw securely on a VPS where it's available 24/7, the right way. OpenClaw is the open-source AI framework with 181K GitHub stars (as of this video being live) that gives you ONE AI with ONE memory across ALL channels — no more juggling Cursor, Atlas, CodeCowork, ChatGPT, and 5 different MCP servers that don't talk to each other. I'll show you how to set up your own AI agent on a secure Hostinger VPS, lock it down with Tailscale VPN and Fail2Ban, connect it to Telegram, and put it to work — from reviewing GitHub PRs to transcribing YouTube videos to generating Remotion shorts while you sleep. We'll cover: ✅ Why you need a VPS instead of running locally (blast radius & security) ✅ One-click Hostinger deployment with the KVM2 plan (use code SUNNY) ✅ OpenClaw CLI onboarding — choosing your model & setting up API keys ✅ Creating a Telegram bot with BotFather and pairing it with OpenClaw ✅ Installing skills: ClawhHub, MCPorter, Whisper, Vercel, Remotion ✅ Securing your server with Tailscale VPN, loopback mode, and Fail2Ban ✅ Real demos: daily reminders, YouTube transcription, video generation ✅ Security best practices — prompt injection risks, access control, monitoring This isn't just another chatbot tutorial. This is how you deploy an always-on AI agent the right way — isolated, secure, and available 24/7.