Starting today, use your Grok or X Premium subscription in @openclaw.
Chat with your agent, generate images and videos, or search for X posts.
https://t.co/GSNl9KrH45
gog 0.16 is out.
Google Workspace CLI for humans and agents.
Lossless raw API output, sanitized Gmail reads, safer command profiles, Drive inventory, Docs tabs, Sheets tables, Gmail filter export, and official Docker images. https://t.co/o15a6lNZoE
If you want to add an AI-powered chatbot to your website, this tutorial is for you.
And you'll use Cloudflare's serverless stack to avoid the high monthly fees that come with some other tools.
Mayur walks you through setting up the project, building the backend worker and frontend widget, deploying it to Cloudflare, and more.
https://t.co/3n3kfWxtwT
Have you ever wondered how LLMs work?
Well, there's both basic theory & modern techniques like RLHF (reinforcement learning from human feedback).
Here, you'll learn how to train a tiny model, scaling up, RLHF, & more.
https://t.co/NrLTJqXemF
Applying for your first cloud or DevOps job can feel pretty overwhelming.
Hiring managers want to see real projects, problem-solving skills, and proof you can work with production systems.
In this in-depth guide, @tolani_akintayo shares tons of actionable tips to help you stand out & build a stronger profile.
https://t.co/Use5C2JSgT
If Spirit's shutdown affected your travel plans, we're here to help. We're offering reduced, nonrefundable rescue fares for the next five days across domestic routes (nonstop and one-stop via our hubs) and routes between the U.S. & Latin America. Learn more: https://t.co/XtUTgpqutQ
🚨 Anthropic's own team just showed how to actually build with MCP.
18 minutes. free. from the Creator of MCP.
watch the workshop. bookmark it.
worth more than every $300 course you almost bought.
you've been using Claude without knowing 50 of its plugins.
Then read the guide below.
If you want to submit an app to the iOS App Store, this course is for you.
In it, Shad starts by teaching you how to generate credentials, register your devices, and get your app running.
Then he explains how to use CI/CD to push your app to a GitHub repo and automatically build, test, & distribute it.
https://t.co/KpSVECxTHH
Hey Folks! Anyone that has read "The Developers Guide To AI" I am putting up a website for it.
If anyone has actaully read the book and wants to provide a testimonial for it, I would love to have your words on the site!
I’ve been running an “enterprise” openclaw install with 300 users @steipete (gcp, gke, gvisor sandbox, read only workspaces, etc) connected (read only) to new relic, github, google (with its own restricted account) and notion. It has changed how many teams work.
Ops has been diagnosing customer issues in record time. It grabs logs from new relic, checks business contracts in notion and checks the repo to find where the transaction failed and why. “This customer support agent made this mistake here”.
SecOps built a skill that does a RFC review (change management) and helps engineers address security issues before submitting the RFC. Devops is creating a similar one with infrastructure contracts in mind.
We were recently at cloud next as a team checking out things, we added an agent to the channel to help coordinate the offsite. It helped coordinate restaurants, bars, activities, it ran polls, selected places, provided everything we needed in terms of directions and bookings. We just enjoyed the con and would get random Slack pings “choose dinner options close by to Mandalay!”.
Some things are a bit… hacky still that I’ve had to put together to reconcile workspaces of users but so far I’ve automated the deployment to GKE and updating the PVC and even rotating secrets with SecretManager (injecting them at pod startup).
The keeping it away from PII, read only to prod logs, sandboxing execs and giving it very reduced scope does help some of the anxiety of it doing catastrophic things
It certainly is fascinating opening up all the user sessions as an admin and seeing all their use cases in every department. How the engineers use it, HR, Ops, etc.
The best way to understand how LLMs work is to build one yourself.
In this handbook, Wisamul teaches you how to create a language-specific model step by step.
You’ll go from raw text data to a working chatbot you can customize and learn how these models work under the hood.
https://t.co/pUkmoK051v
If you’re an IT admin and you’ve never had your internal environment pentested and can’t afford one right now, do this instead:
1. Run Locksmith - fix anything that’s a High risk
2. Run ADeleginator - make sure everyone, authenticated users, domain users and domain computers doesn’t have any unsafe permissions
3. Run ScriptSentry - check for credentials in logon scripts
4. Run PingCastle - check the control paths section. It’s like bloodhound. Look for non-admins that have control paths
If you do this, your environment will be much better when you’re done fixing everything.
AI agents can help you add a bunch of cool functionality to your apps.
And in this course, you'll learn how to build a support agent with the Vercel AI SDK.
The agent will decide whether to answer questions based on your docs or search the web in real time.
https://t.co/kQjzaojWMB
AWS just announced Claude Platform on AWS.
No Bedrock required!!
You get Anthropic's native Claude experience directly in your AWS account!
- IAM handles access
- Billing is consolidated
- CloudTrail logs everything alongside your other services
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.
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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.
↓
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.
Repetitive digital tasks can eat up a lot of your time.
In this course, @EstefaniaCassN teaches you how to automate them with Zapier, from basic Zaps to more advanced AI-powered workflows.
You’ll learn about triggers, actions, and how to connect the apps you already use.
https://t.co/X0cJp0UZLJ