Hey everyone, huge news for the developers here. Apple just released Xcode 26.3, and they have natively integrated the Claude Agent SDK. This isn't just another auto-complete update, it is full agentic coding. The three massive changes that matter: 1. Visual Verification: Claude can actually "see" your UI previews. It looks at the pixels and fixes layout bugs automatically. 2. Full Context: It reads your whole project architecture, not just the file you have open. 3. Autonomy: You give it a high-level goal, and it edits files, builds the project, and fixes errors on its own until it works. The "human in the loop" role just moved from writing code to reviewing architecture. Let me know if you are planning to test this out!

Decided to share another wonderful and successful automation i built.. Let me know what you think of this

Because they begin with technology instead of intent. Teams jump straight into models, workflows, and integrations without first agreeing on one thing: what business outcome AI is actually responsible for moving. When intent is unclear, every audit finding becomes subjective, every recommendation becomes debatable, and every roadmap turns into a wishlist. A proper AI Audit starts by locking the “why” before touching the “how”. What metric changes if AI succeeds, what risk increases if it fails, and what decision authority is being shifted as a result? If your audit cannot map AI systems to explicit business intent and measurable outcomes, you’re not auditing readiness, you’re reverse-engineering guesses. Transformation starts when intent is auditable, not when tech is impressive.

Hi guys, Right now i am building my first RAG agent, using n8n. I use a combination of pinecone and the simple vector store native to n8n. It works but not in the way i want to. I am getting abit lost in all the videos and tutorials there is. So basically put i have 2 questions. What is the best way to decide how to chunk or vectorise your documents. What can i do to optimise those documents. Extra questions for bonus points: What would be the most efficient way of gettig physical books into my rag agent if there aren't any e-books findable,.

I tried to help everyone. Custom solutions. Custom workflows. Custom timelines. Sounds good in theory. Kills you in reality. Here’s the truth no AI agency wants to admit: You can’t scale “custom everything.” Most AI agencies fail for one reason: They promise to build bespoke automations for every business. What that actually means: - 4–7 days to build ONE automation - Endless revisions - Clients waiting, chasing, hesitating - You drowning in projects And no one wants to wait a week for automation in 2025. So I flipped the model. Instead of custom work, I productized ONE automation. Then I templated it: - Every step - Every integration - Every edge case - Every deployment process The result? Deployment time went from 7 days → under 1 hour. That’s when everything changed. I went from: - Project-to-project chaos - Consistent, predictable, paying clients Saying “no” at the start was hard. But speed compounds. Speed = money. Amazon didn’t win because it had the best products. It won because it removed friction. Imagine if Amazon said: “Fill a 5-page form and wait 10 days to order.” You’d never use it. Instead: 2 clicks. Product at your door. LESS FRICTION = MORE SALES