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Andrej Karpathy spoke at AI Ascent this past week. He described something he called agentic engineering. The human stays in the loop. The agent writes detailed documentation. You oversee the architecture. The agent handles the code specifics. I've been teaching exactly that for almost a year. Here's what I built it around: Before any code gets written, you run four phases. Brainstorming. Product requirements. Technical architecture. Then implementation — story by story, with the AI reading your planning documents before it builds anything. Why? Because without a plan, every feature is built in isolation. The AI has no memory of decisions made in previous sessions. Each prompt starts from scratch. The documentation is the memory. The human is the director. Karpathy's framing yesterday was exact: vibecoding raises the floor. Agentic engineering maintains the ceiling — the professional standards, the security model, the architectural coherence that vibe coding can't talk about. He said you can outsource your thinking. You cannot outsource your understanding. That's the line I've been trying to write for a year. I built BMAD and the Vibe Code Blueprint around that principle before it had a name. Now it does. Agentic engineering. The methodology was always the missing piece. And now you can learn it too.

It started with a few failed prompts and ended with a complete lockout. If you’ve been hitting Internal Server Error 500 or getting bounced from the login screen this morning, you aren't alone. As of April 15, 2026, Anthropic is officially grappling with a major outage affecting Claude.ai, the API, and the Claude Code CLI. For those of us deep in the world of "vibe coding," where the flow depends on a tight feedback loop between our natural language and the machine, these service interruptions are more than just a nuisance: they are a complete work stoppage. What’s Happening? - Widespread Login Failures: Users are being logged out and unable to return to their sessions. - The "500" Wall: Claude Code and API requests are dropping mid-stream, returning "Internal Server Error" instead of that sweet, functional code. - Systemic Instability: This follows a week of intermittent degraded performance, leading many to wonder if the infrastructure is struggling to keep up with the latest Sonnet and Opus 4.6 deployments. The Home Lab Advantage If there was ever a day to celebrate data sovereignty, today is it. While the cloud-reliant masses are stuck staring at status pages, this is where a robust home lab pays for itself. 1. Failover to Ollama: By pointing your development agents to local Ollama endpoints, you keep your logic in-house and your throughput steady. 2. Modular Resilience: The best "vibe coding" workflows aren't tied to a single model. Use this downtime to test your current PRDs against local LLMs like Llama 3 or DeepSeek. If your prompts are truly modular, they should perform regardless of the backend. 3. Triple-Pass Validation (TPV): Even when the API returns, use the TPV protocol to ensure the "post-outage" code hasn't suffered from the "lazy output" issues that often plague models when servers are under extreme load. Staying Operational Check the official status page for updates, but don't wait for a green light to stay productive. Shift your builds to your local hardware, keep your Docker containers humming, and remember: the best AI infrastructure is the one you control.

Has anyone been having issues with Claude lately? I have wanted to support Dario through their whole GOV issue but the way they have been lashing out at the community has got me thinking about trying Codex. Whats your thoughts? Also now with the Claude Code leak so may features would be going into the other CLI tools. Whats your thoughts on this?

What You're About to Do You're going to build a real, production SaaS application called TripSquad — a group travel planning app where users create trips, invite friends, plan itineraries together, manage packing lists, and track reservations. It will live on the internet. People will use it. It will have real user accounts, real databases, and real security. You're going to build it using AI. Not by copying and pasting ChatGPT output into files and praying it works. Not by "vibe coding" your way through a mess that looks great in a demo and collapses the moment a real user touches it. You're going to use a professional AI-driven development methodology that produces the same quality output a senior engineering team would deliver. The tools you'll use: - Claude Code — an AI coding agent that runs in your terminal - BMAD v6 — a structured methodology that gives your AI agents roles, workflows, and guardrails - Next.js + TypeScript + React — the framework powering some of the biggest apps on the internet - Supabase — your database, authentication, and backend in one platform - Vercel — hosting that deploys your app every time you push code By the end of this course, TripSquad will be live. You'll understand what you built, why it's built that way, and what happens next. Why V2 Exists The first version of this course taught you how to set up a development environment and deploy a basic app. It was a blueprint — a map. V2 is different. V2 is a build. Here's what changed since V1 dropped: AI coding tools got serious. Claude Code can now scaffold an entire application, write tests, debug failures, and iterate on feedback — autonomously. It's not autocomplete anymore. It's a junior developer that never sleeps and never complains. BMAD v6 launched. This is a methodology specifically designed for AI-driven development. It gives you AI agents that play real roles — a Product Manager who writes your requirements, an Architect who designs your system, a Scrum Master who organizes your work, and a Developer agent that builds story by story. You're not winging it. You're running a structured development process where the AI team does the heavy lifting and you make the decisions.