Instead of watching Netflix tonight.
Spend a day mastering Claude here: https://t.co/Vn60ElPZ2i
→ Level 1 - 24 min: The basics.
Claude For Dummies: https://t.co/HNa5MrCLVU
Claude Setup: https://t.co/jw2qdIcjnh
→ Level 2 - 1 hour: Real workflows.
Claude Cowork: https://t.co/uWTpOI3Woc
Claude for teams: https://t.co/qxlcqhf8bM
Claude Design: https://t.co/ZY8Fg5D2ea
Cowork + Projects: https://t.co/Q7AN9CZAbO
Claude for slides: https://t.co/L0bPMgXci6
Claude Skills: https://t.co/6cHYYfjXEA
→ Level 3 - 3.5 hours: The pro moves.
Avoid sycophancy: https://t.co/5i8xSJBGUl
Claude Code: https://t.co/UgE9xBXVbE
Claude 101: https://t.co/OvBmlvnVqL
Stop hitting Claude limits: https://t.co/j5fEzSH5br
Stop Prompting: https://t.co/j1LATSJiat
→ Level 4 - 8 hours: Expert mode.
Claude Computer: https://t.co/TxYuHPjgbV
Build with Claude API: https://t.co/RcCbfNjlzz
Pro tip: Don't binge it. Do one level per sitting.
Actually apply each guide before moving to the next
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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
🚨 INSTEAD OF WATCHING NETFLIX TONIGHT.
Spend 1 hour with this.
Obsidian + Claude Code = 24/7 personal operating system.
Works while you sleep.
The people who build this tonight will never work the same way again.
Watch it and Bookmark it now.
@ghumare64 Hi im the guy from the video
i'm hosting a live stream next month on claude code
I have no affiliation with this guy ^
https://t.co/z8bS5ACFHe
@PemmasaniOnX Congratulations on your remarkable achievement of becoming a central minister in India. Your accomplishments make us all proud, and I am confident that your dedication and expertise will greatly benefit the country. Wishing you continued success in your new role 😊.
@amazonIN if a delivery agent marks an order as "customer refused", it would be great to take customer's consent via app or sms before setting the order as "Cancelled" and sending it back to the seller. This minor change to the process closes lots of loop holes and improves CX.
@AmazonHelp Your customer team hung up my call without completely listening. Fortunately another agent did a simple thing by placing a replacement order which other agents didn't do. There is lot of room for improvement. Can't simply ask customer to re-order as per the manual :)
@amazonIN Deeply disappointed on the way Amazon handled an order which I placed and it got cancelled causing lots of reverse workflow. Resulted in waste of Amazon's helpdesk time along with mine. Lot of money and time could be saved if a minor improvement is made to your process
@anuswaram Chiranjeevi's performance in "Rudraveena" is nothing short of a masterpiece. His portrayal of a socially conscious musician is a testament to his versatile talent, adding depth and resonance to the character and hats off to Balachander's directorial brilliance.
For thousands of years there were only natural fabrics, name from the fibres of flax, silk, wool and cotton. This is how cotton was made into cloth, the ancient way
[📹 craftsman0011]
https://t.co/QosuTgg4EH