The "whiteboard defense:" I should be able to pull you aside at any moment and ask you to explain any customer-facing system you've shipped. You should be able to clearly explain how it works and defend the decisions you made. This is my benchmark for responsible AI usage.
I don't expect line-level familiarity with the code. I don't care if you remember the exact function name or implementation detail. You may not even know it. I don't care.
But if I ask "why did you do X instead of Y?", "what happens if this actor behaves maliciously?", "what data structure did you use here and why?", or "where does this fail?" you should be able to answer confidently.
For PoCs, demos, experiments, whatever: I don't care. Generate 100% of it and understand none of it. Speed over quality every time in those specific scenarios.
But if you're shipping customer-facing work, you can't be shipping things you don't understand at a high level.
every GPU cluster we've found is fairly generic with the same setup
i think this is because they just want to support a wide range of workloads without overspecializing
but this is why no one can match deepseek's price on inference. we're going to have to build our own cluster
Last week i managed to make @fastifyjs work on @Cloudflare workers.
Had to patch a few things but as of now i managed to make fastify, ajv, typebox, pino & light-my-request work all together 👀
Claude Code just added the entire auth logic: React frontend to @fastifyjs backend.
🤦♂️ I forgot to tell it to update my Playwright e2e tests...
❌ CI failed
✔︎ Nx Self-Healing CI agent picked it up and auto-fixed it for me.
I helped develop this and still...just wild 🤯
Tried @antigravity and created https://t.co/atbyLy5rbG — a REST API built with @fastifyjs and @dynamodb. Great choices; had a fully functional CRUD API ready in under 2 hours. Impressed with all the tools!
We've added an example on how to use @fastifyjs in combination with @fiberplane mcp-lite for building Model Context Protocol servers: https://t.co/qfN52LFZLH
This is the @matteocollina effect! He decides to do a workshop in London and this gets #Soldout
Register for the free meetup - 30/9
https://t.co/VRykXmC4ZK
I am building a SaaS called *Newton*. It's a WhatsApp marketing tool that does not use the official WhatsApp Cloud API.
My tech stack
1. Backend - @fastifyjs
2. ORM - @DrizzleORM
3. Database - @PostgreSQL
4. Frontend - @nextjs with @shadcn ui
🚀 Announcing @platformatic /mcp
Building AI applications with the Model Context Protocol? It's time to move from development to production.
We're launching a production-ready MCP server built on @fastifyjs, which offers horizontal scaling, high availability, and complete type safety.
🧵
I hate rewriting code, but it's a necessary evil when transitioning from MVP. Luckily, remaining in the #Typescript ecosystem saved me a lot of time and @fastifyjs was a breeze to work with. My new architecture is nearly production-ready after a long weekend. #buildinpublic
fastify by @fastifyjs
Meet Fastify, a fast and developer-friendly web framework for building efficient servers with the least overhead! 🚀💻 #Fastify#WebDevelopment