Lee

@MarioNawfal @grok is this true?

When a human egg is fertilized, it releases an explosion of zinc fireworks visible under a microscope. Every single human life starts with a flash of light. The universe did the same thing 13 billion years ago, just bigger.

Hang in there brofessor

software engineers in the 60s.

@FeiyanXie I’m gonna get tetanus just looking at that blade

终于穿上大牌鞋了

Noted.

@TheTrentHarvey @Adriksh Same here. Every time I dive into vscode or other ides I spend way too much time trying to figure out running a debug session or other simple crap

JetBrains remains my IDE of choice. I use Cursor for some things. I spend more time in Codex and Claude Code these days than any of them. But if I’m going to fire up an IDE and actually dig into the code, it’s JetBrains. Bonus is that their AI chat panel integrated with Codex Agents.

it's wild how VS Code became the industry standard while JetBrains spent years building actually superior IDEs that nobody wants to pay for anymore

Yikes.

@0xgaut Was a good time for me to take lunch. Back when I was ready to resume.

Claude is down Engineers everywhere are having to learn to write code by hand again

@EOEboh Your mom stores them for me

Where are you storing your JWTs? A) localStorage B) sessionStorage C) HTTP-only Cookie D) Memory only Be honest

@GergelyOrosz Everybody and their dog is coding now. Whether it’s high quality or not guess where Claude is telling them to put it. GitHub

Pull requests disappeared on GitHub for many (all?) users. This is just the latest outage on a platform where reliability has been beyond unacceptable the last few months. A fair question: at what point would customers move? How much pain is too much? And where do they move?

@HinataMotivates Put one in my truck

This 120-lb engine makes 450 HP with zero pistons.

Looks interesting. Gonna give it a watch

@jason_corbett That’s the one I’m starting next

@leeard enterprise was pretty decent, a little different

Just finished Star Trek Voyager. Pretty good even with the dumb singing doctor. 😂. Now on to a different Star Trek. Probably a slightly newer one. I’ve done stng, ds9, and now voyager. What should I do next?

@TheGeorgePu We built a few at work. Freaking handy and saves time. Also helps us sometimes avoid the beloved AWS console…

Vibe coding has been a thing for over a year. My friends built: - Fitness apps - Marketing tools - Casual games - Dashboards All shipped to TestFlight or GitHub. Now try this: name one vibe-coded app you actually use. Not tried. Actually use. I can't name one. Zero. They built. They kept adding features. They never figured out who it was for. We have more apps than ever. Fewer users per app than ever. Vibe coding didn't create a software boom. It created a software graveyard.

Claude watching me code manually after hitting daily limit:

@vaggelisdrak Probably running on MS SQL Server

GitHub outages since Microsoft acquisition 🤣

Elon Musk: "In the next 6 to 12 months, we’ll be doing our first implants for vision, where even if somebody is completely blind, we can write directly to the visual cortex." "Long term, you would have very high resolution and be able to see multispectral wavelengths... you could see in infrared, ultraviolet, radar. It's like a superpower situation."

Anthropic's Claude Ai Agents Team just Educated how to build production AI agents in under 30 mins. For Free. From the engineers who built the stack. CANCEL Your Weekend Plans, and Learn to Build AI Agents Today. Bookmark it. Watch it. Build your first production agent this weekend. $5,000/month. $7,000/month. $12,000/month. People are building agents for clients and charging $$$ as Beginners. You're still stuck in the thinking about AI phase. This video fixes that tonight. Follow @codewithimanshu for more high-signal content that actually moves your AI engineering career forward. ↓ Ivan Nardini runs Developer Relations for AI at Google Cloud. He just gave away the entire production agent stack in 30 minutes. This is the talk that separates people deploying AI agents that actually scale from people whose agents break the moment they leave localhost. Here's everything inside. I break down a production AI video like this every week. Follow @codewithimanshu. ↓ The 4-part agent stack that actually scales. Most devs are duct-taping frameworks together and calling it an "AI agent." Ivan lays out the real stack: Agent Development Kit (ADK): open-source, code-first framework for building, evaluating, and deploying agents. Supports Claude models through Vertex AI directly. Model Context Protocol (MCP): lets your agent talk to any tool or data source with one standard. Vertex AI Agent Engine: managed platform for deploying, monitoring, and scaling agents in production. No DevOps headaches. Agent-to-Agent Protocol: open protocol so agents built on different frameworks can actually work together. This is the stack replacing every hacky agent setup in production right now. Full MCP + Claude breakdowns drop weekly on @codewithimanshu. ↓ Building your first real agent. Ivan builds a birthday planner agent live. LLM Agent class. Name it. Define instructions. Pick the model. He uses Claude 3.7 Sonnet. You could use Opus 4.7 for better reasoning. Full agent built in minutes. Not weeks. Watch the build once and you'll never structure an agent the wrong way again. I post agent architectures people pay $500 courses to learn. @codewithimanshu. ↓ Multi-agent systems without the chaos. Single agents are easy. Multi-agent systems are where 99% of builders fail. Ivan extends the birthday planner by: Adding a calendar service through MCP tools Creating an orchestrator agent to route requests between agents Handling state and context across agent handoffs This is production multi-agent architecture. Clean. Scalable. Debuggable. Most tutorials hand-wave this part. This one shows you every step. Multi-agent orchestration content drops weekly on @codewithimanshu. ↓ Deployment without the DevOps nightmare. This is where most AI projects die. You build a cool agent locally. It works. You try to deploy it. Everything breaks. Vertex AI Agent Engine fixes this: Minimal code deployment Automatic monitoring of latency, CPU, and memory Built-in observability and logging No infrastructure setup needed You provide config and requirements. The platform handles the rest. This is how agents actually get to production. Deployment guides for Claude agents post every week. @codewithimanshu. ↓ Agent-to-Agent Protocol: the future nobody's talking about. Most people don't know this exists yet. The A2A Protocol lets agents built in different frameworks communicate seamlessly. Your Claude agent. My LangChain agent. Someone else's CrewAI agent. All talking to each other. All solving parts of the same problem. All without custom integration code. This is the infrastructure layer of the coming AI economy. Getting in early on A2A Protocol is like getting in early on HTTP in 1995. A2A deep dive coming soon. @codewithimanshu. ↓ 30 minutes from the team shipping this in production. You'll learn more from this than from 6 months of YouTube tutorials made by people who've never deployed an agent past localhost. People who watch this understand production AI agents at the architect level. People who skip it keep hacking together frameworks that break every time an API updates. Save the video. Watch it tonight. Build a real agent this weekend. Follow @codewithimanshu for more high-signal content that actually moves your AI engineering career forward.

@twibuznewss Average people used to push a lot more smoke into the atmosphere simply heating their homes. Could all the smoke in the air leaving over the last 200 years be the exact reason for the warming?