Canva + laptop + internet connection + 60 minutes a day = $359 per day.
Normally, I'd charge $87 for this guide, but it's yours 100% FREE today.
Like + comment 'Canva' and I'll send you my step-by-step guide for FREE.
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Google Gemini is the smartest AI right now.
But 90% of people prompt it like ChatGPT.
That's why I made the Gemini Mastery Guide:
→ How Gemini thinks differently
→ Prompts built for Gemini
→ 2000+ AI Prompts
Comment "Gemini" and I'll DM it free.
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We've hosted former PMs. But a sitting MP? None. Until now.
This week, @SharminNahar401 MP joins the show - calling the generational smoking ban unworkable, challenging his own party's record, and warning that the UK state is stuck in the mud.
Catch the trailer below👇
Claude Prompt vs Skills vs Projects
________
Are you using the right Claude feature?
Most people are not.
The most common way to use Claude is to open it and just start typing.
That works for simple tasks.
But for anything you do more than once, there are better ways.
Here's how 3 of them work:
1/ Claude Prompt:
For 90% of users, 90% of the time.
Use it when you just need a fast answer like draft an email, summarize a PDF, brainstorm ideas, etc. Or weird tasks like matching socks with your outfits like I did (ONCE).
Every chat starts from scratch. It's perfect when you need Claude quickly for a one off task.
2/ Claude Project:
For tasks you repeat at least 2x a week.
Use it when you keep giving Claude the same background again and again. Like working with different clients, analyzing customer calls, tracking expenses, etc.
A Project is basically a workspace - you upload files once, write the instructions and Claude uses that context every time. You can also update the files and instructions with time.
3/ Claude Skills:
For tasks that need strict standardized results.
Use it when you want Claude to follow a particular process the same way every time. This is best for automating workflows, brand guidelines, tool integrations, etc.
I recently created an Anti AI Slop skill that automatically detects AI tones, mistakes, and styles in anything that my team creates.
Before your next Claude session, ask one question, "Will I need to do this exact thing again?"
If no, prompt it.
If yes, build a dedicated project or a skill.
📌 If you want a high-res PDF of this guide:
1. Follow: @coder_surya
2. Save the post.
3. Repost to your network.
4. Join AI Community: https://t.co/ioQEJKhR1q
Credit to Will McTighe. Follow him for more.
I made this mistake for 2 years..Maybe you're making it too 👀
I thought learning frontend meant learning React.
So I focused on:
✓ Components
✓ Hooks
✓ State
✓ APIs
And ignored everything else.
My projects worked but they were a nightmare to maintain.
Files everywhere. Logic duplicated.
Components impossible to find.
I realized something:
The difference between beginner and senior frontend engineers isn't React.
It's architecture. It's project structure.
I reviewed hundreds of frontend projects over the years.
Most had the same problem. The code worked.
But nobody wanted to maintain it.
Here's the roadmap I wish someone had given me when I started.
Phase 1: Learn the Foundations
✓ HTML
✓ CSS
✓ JavaScript
✓ DOM
✓ ES6+
Phase 2: Learn React
✓ Components
✓ Props
✓ State
✓ useEffect
✓ Forms
✓ Routing
Phase 3: My Biggest Mistake
My folder structure looked something like:
src/
components/
components-new/
new-components/
final-components/
😂
Finding files became harder than building features.
A better structure:
src/
├── assets
├── components
├── pages
├── utils
Simple. Clean. Scalable.
Phase 4: Learn Project Architecture
As projects grow:
src/
├── api
├── assets
├── components
├── context
├── hooks
├── pages
├── redux
├── services
├── utils
Every folder has one responsibility.
Phase 5: Become Industry Ready
Learn:
✓ Custom Hooks
✓ Context API
✓ Redux Toolkit
✓ Authentication
✓ Protected Routes
✓ API Layer
✓ Error Handling
✓ Reusable Components
This is where frontend starts feeling like engineering.
Phase 6: Advanced Frontend
✓ TypeScript
✓ React Query
✓ Next.js
✓ Testing
✓ Performance Optimization
✓ CI/CD
✓ Frontend System Design
Most developers never reach this stage.
That's why the gap becomes huge.
Save this, you'll need it later (3 dots, top right)
🔁 Repost it to share in your network !!
Resources I'd recommend:
• Namaste JavaScript
• Namaste React
• Frontend Masters
• Kent C. Dodds
• Frontend Interview Handbook
The lesson that took me the longest to learn:
A messy folder structure doesn't hurt on Day 1.
It destroys productivity on Day 100.
Follow👤
@sakhil_ai
for more !!
What frontend mistake took you the longest to realize?
🚀 Top 9 AI Tools for Automated Online Income
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Work less. Automate more.Earn smarter
Reply"AI"
Follow me I'll send your DM✅
DON'T TELL CHATGPT YOUR ADDRESS
DON'T TELL CHATGPT YOUR ADDRESS
DON'T TELL CHATGPT YOUR ADDRESS
DON'T TELL CHATGPT YOUR ADDRESS
DON'T TELL CHATGPT YOUR ADDRESS
DON'T TELL CHATGPT YOUR ADDRESS
DON'T TELL CHATGPT YOUR ADDRESS
DON'T TELL CHATGPT YOUR ADDRESS
Tomorrow" is a myth, and "Later" is a trap. 🛑 The longer we wait for readiness, the deeper we sink into the cycle of overthinking. Don't let a loop define your journey. Step out of the shadows, face the sunrise, and just begin. 🌤️💪
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/OBfDwz8tQm
2. LLMs from Scratch: https://t.co/oeOci6OcH6
3. Agentic AI Overview (Stanford): https://t.co/5POKytuEyb
4. Building and Evaluating Agents: https://t.co/E5FFlGVbq6
5. Building Effective Agents: https://t.co/kusHO3ejnN
6. Building Agents with MCP: https://t.co/cCEsddKJe2
7. Building an Agent from Scratch: https://t.co/8xWp3Cnd1P
8. Philo Agents: https://t.co/D4CENuhsrv
🗂️ Repos
1. GenAI Agents: https://t.co/4KZ9sJnjs0
2. Microsoft's AI Agents for Beginners: https://t.co/vPvgZwjZub
3. Prompt Engineering Guide: https://t.co/ZJPx57o4vn
4. Hands-On Large Language Models: https://t.co/awbIDVAPLM
5. AI Agents for Beginners: https://t.co/vPvgZwjZub
6. GenAI Agents: https://t.co/A7aZkonaow
7. Made with ML: https://t.co/rvYry90bld
8. Hands-On AI Engineering: https://t.co/HjMTW5o3Lz
9. Awesome Generative AI Guide: https://t.co/qGocn6dMRt
10. Designing Machine Learning Systems: https://t.co/zZC31Io7QY
11. Machine Learning for Beginners from Microsoft: https://t.co/SBVf1FQeVN
12. LLM Course: https://t.co/OCAvim3QZP
🗺️ Guides
1. Google's Agent Whitepaper: https://t.co/VYeTNLSntH
2. Google's Agent Companion: https://t.co/4gy8NGQLUB
3. Building Effective Agents by Anthropic: https://t.co/WcMyxPSQCy
4. Claude Code Best Agentic Coding practices: https://t.co/d01rxIEUhf
5. OpenAI's Practical Guide to Building Agents: https://t.co/fsQrbj2oKo
📚 Books:
1. Understanding Deep Learning: https://t.co/zf0RZ1gIDC
2. Building an LLM from Scratch: https://t.co/rCEkYCdF3Q
3. The LLM Engineering Handbook: https://t.co/cHxt9qbNdj
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/No7Gopfa7H
5. Building Applications with AI Agents - Michael Albada: https://t.co/KxDWj7pGsU
6. AI Agents with MCP - Kyle Stratis: https://t.co/Pdaw6hnTCP
7. AI Engineering: https://t.co/kqEMbAYttm
📜 Papers
1. ReAct: https://t.co/gU23m8zAy4
2. Generative Agents: https://t.co/5CCFoHVkIB
3. Toolformer: https://t.co/ux2vgBMozu
4. Chain-of-Thought Prompting: https://t.co/v6iOKX2GGr
🧑🏫 Courses:
1. HuggingFace's Agent Course: https://t.co/njL6khAaM7
2. MCP with Anthropic: https://t.co/TWp2H7m1i7
3. Building Vector Databases with Pinecone: https://t.co/bPCar17oz2
4. Vector Databases from Embeddings to Apps: https://t.co/6AwTQ3YycN
5. Agent Memory: https://t.co/EZSaCFbftc
👇 Comment “A” for more resources
Repost for your network ♻️
Bookmark for future.