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[Fatima Saleh @Meenerl4]

Solution to all problems. 💌

[yourclouddude @yourclouddude]

The 6-month roadmap to become hireable in tech:

[IG : Lenny.diary @Lenny_diary]

Koleksi bukunya banyakan tentang ekonomi, finance tapi tenang ada juga koleksi novel dan buku untuk umum walau dikit.

Perpusnya ga luas tapi ada 2 lantai.

Terus di belakang nya kek ada taman mini buat santai NO SMOKING AREA yah.

Tempatnya bersih dari WC - mushola ada.

[Elon Murz | SVP of Meme Engineering @ecommurz]

Plenty good resources here for those looking to #kaburajadulu 👇

[Doreen @dee_naliaks]

Stop applying on LinkedIn 2026.
Stop applying on Indeed 2026.
Stop applying on Upwork 2026.

I spent 5 years applying. 1 interview.

My wife spent 2 hours on these 10 sites. 5 remote job offers instantly.

Use these 10 platforms to find remote jobs:

[Himanshu Kumar @codewithimanshu]

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.

[Movez @0xMovez]

This 30-min workshop by the creator of Claude Code will teach you more about vibe-coding than 100 YouTube video guides.

Bookmark it & give it 30 minutes today. This video will change the way you use Claude forever.

[Rony @Ronycoder]

Instead of watching an hour of Netflix, watch this 2 hour hour Stanford lecture will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.

[Rohit @rohit4verse]

https://t.co/3MgR2Mp5AV

[Nainsi Dwivedi @NainsiDwiv50980]

Stop wasting hours trying to learn AI. 📘📚

I have already done it for you.

With one list. Zero confusion. And no fluff

📹 Videos:

1. LLM Introduction: https://t.co/kJDquHyQuR

2. LLMs from Scratch: https://t.co/0tVKf67LWE

3. Agentic AI Overview (Stanford): https://t.co/F3eMqlyx7o

4. Building and Evaluating Agents: https://t.co/p2wAwQkmc1

5. Building Effective Agents: https://t.co/soZEzoU6eu

6. Building Agents with MCP: https://t.co/7rXLH619p4

7. Building an Agent from Scratch: https://t.co/JVVEvlwcvH

8. Philo Agents: https://t.co/oALtKeEhg1

🗂️ Repos

1. GenAI Agents: https://t.co/SzAvw64ZA3

2. Microsoft's AI Agents for Beginners: https://t.co/MYCOwStucr

3. Prompt Engineering Guide: https://t.co/zFZJT6V60r

4. Hands-On Large Language Models: https://t.co/S5E4390RIk

5. AI Agents for Beginners: https://t.co/MYCOwStucr

6. GenAI Agentshttps://lnkd.in/dEt72MEy

7. Made with ML: https://t.co/mAb4b9Li9o

8. Hands-On AI Engineering:https://t.co/2QvXB3WJhe

9. Awesome Generative AI Guide: https://t.co/dYaAsRgfO6

10. Designing Machine Learning Systems: https://t.co/jRxshvMgJt

11. Machine Learning for Beginners from Microsoft: https://t.co/6u48FQng1g

12. LLM Course: https://t.co/o0NnbEjH6X

🗺️ Guides

1. Google's Agent Whitepaper: https://t.co/cs0P2Tt165

2. Google's Agent Companion: https://t.co/Qnv3PsJZIx

3. Building Effective Agents by Anthropic: https://t.co/5ZfcMllO9N.

4. Claude Code Best Agentic Coding practices: https://t.co/zX9ep8ER0h

5. OpenAI's Practical Guide to Building Agents: https://t.co/uwdBKet060

📚Books:

1. Understanding Deep Learning: https://t.co/Rix5N440Y8

2. Building an LLM from Scratch: https://t.co/V20ES23ZH8

3. The LLM Engineering Handbook: https://t.co/avpqPTA0I8

4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/8bgDLtebU0

5. Building Applications with AI Agents - Michael Albada: https://t.co/W70co41CCW

6. AI Agents with MCP - Kyle Stratis: https://t.co/vF8VqTeyfA

7. AI Engineering: https://t.co/eJrAoLMW0Z

📜 Papers

1. ReAct: https://t.co/SFgUispJcP

2. Generative Agents: https://t.co/q50bu1PPnQ.

3. Toolformer: https://t.co/CFssbdAXvQ

4. Chain-of-Thought Prompting: https://t.co/n84jvdyxWL.

🧑🏫 Courses:

1. HuggingFace's Agent Course: https://t.co/yhVP0jcs6w

2. MCP with Anthropic: https://t.co/w9LxesXtjx

3. Building Vector Databases with Pinecone: https://t.co/GeI4yarzHH

4. Vector Databases from Embeddings to Apps: https://t.co/eMrFYZaY8d

5. Agent Memory: https://t.co/hjbH72Qwqr

Repost for your network ♻️

[abi @boovernment]

Betul kemiskinan struktural adalah soal low income dan lack of opportunities, tapi faktor mindset dan akses terhadap informasi bener-bener punya pengaruh yang juga besar dalam memupuk kemiskinan struktural.

I have so many stories about this, let me tell you this one,

[yourclouddude @yourclouddude]

Master Data Analytics in 10 steps

① Problem framing → what question are you answering?
② Data collection → CSV, Excel, APIs, databases
③ Data cleaning → nulls, duplicates, formats
④ Exploratory analysis → patterns & distributions
⑤ SQL basics → SELECT, WHERE, JOIN
⑥ Aggregation → GROUP BY, metrics, KPIs
⑦ Python analysis → Pandas, NumPy
⑧ Visualization → charts that tell a story
⑨ Insight communication → explain in simple terms
⑩ Projects → dashboards, case studies, reports

That’s the path.
Tools matter less than thinking clearly with data

[yourclouddude @yourclouddude]

Stop learning tech like a student.
Start learning like you want a job.

Most beginners do this ❌
• Collect courses
• Memorize syntax
• Chase certificates
• Avoid building real things

Hiring works differently ✅

Here’s what actually gets interviews:

• Pick one role (Cloud / Backend / Data / Automation)
• Learn only job-used skills (not everything)
• Build 3–5 real projects that solve problems
• Deploy at least one project live
• Write clear READMEs (what, why, how)
• Show proof of thinking, not just code
• Share your work publicly (GitHub, posts, demos)

Reality check 👇
Recruiters don’t ask:
“Which course did you finish?”

They ask:
“What can you build on Day 1?”

Skills > Certificates
Projects > Tutorials

[Jay Yang @Jayyanginspires]

underrated career advice:

[Python Developer @PythonDvz]

7 out of 10 businesses are missing the AI automation opportunity.

So many are stuck in manual processes.
Wondering why competitors are suddenly 10x faster.

But this 5-step AI automation process will help you out.

Here’s what business leaders should be implementing:

STEP 1: IDENTIFY AI USE CASES
↳ Content Creation with Jasper, Copy(.)ai
↳ Data Analysis with Julius AI, Code Interpreter
↳ Customer Support with Retell AI, Vectorshift AI

STEP 2: SELECT AI MODEL/TOOL
↳ ChatGPT for conversations & images
↳ Claude for analysis & coding
↳ n8n for workflow automation

STEP 3: DESIGN AGENT WORKFLOW
↳ Map the process with clear inputs/outputs
↳ Define decision logic
↳ Set up error handling

STEP 4: CONNECT APIs & DATA
↳ Zapier for app connections
↳ Make for workflow automation
↳ Langchain for AI frameworks

STEP 5: DEPLOY & MONITOR
↳ Track performance metrics
↳ Optimize based on results
↳ Scale what works

KEY TECH SKILLS YOU NEED:
- API Integration & Webhooks
- Prompt Engineering (ChatGPT, Claude)
- No-Code Platforms (Lovable, n8n)
- Vector Databases
- AI Agent Architecture

Most companies dabble with ChatGPT while missing
the opportunity to automate entire workflows.

This 5-step process cuts through the hype.
It gives you a clear path to 10x productivity.
And the competitive edge to dominate your niche.

Over to you: Which process are you automating first?

[NZ ☄️ @CodeByNZ]

Excellence isn’t just about delivering results, it’s about leaving such a lasting impression that people want you in their lives, not just their business 💼❤️.

[Angela Yo @angelay0o]

kunci keberhasilan bisnis itu : value added yang kamu berikan harus worth the money !!! di sini produkku works dan dinilai worth untuk dibeli karena itu.

[Angela Yo @angelay0o]

✅ masalah : bibir kering parah, pecah-pecah saat kemoterapi. butuh lipbalm yang "works" dan tanpa bahan kimia
✅ lebih baik : perawatan bibir yang food grade & natural
✅ komunitas : komunitas pasien kanker
✅ passion : suka bisnis online
✅ trend : organic & natural skincare

[Angela Yo @angelay0o]

Kelima, Trend is Your Friend!
yup, jeli sama trend yang ada dan manfaatin tuh hal-hal viral yang lagi naik banget sekarang apa aja. ini bisa pakai berbagai macam cara ya, bisa kamu lihat dari konten2 yang viral, games yg viral, artis kpop, pakai google trends juga bisa

[Angela Yo @angelay0o]

Keempat, lihat passionmu!
coba tanyakan ke diri kamu sendiri, hal apa yang bersedia kamu lakuin untuk orang lain walaupun KAMU TIDAK DIBAYAR. kenapa kok ada syarat tidak dibayar? supaya kamu benar2 dapetin tuh apa yg emang beneran kamu suka dan bisa berikan performa yg terbaik.