Become a Top 1% Developer π
Stage 1:
Learn to Code
Stage 2:
Build Small Projects
Stage 3:
Learn Git + GitHub
Stage 4:
Break Things
Stage 5:
Learn Debugging
Stage 6:
Build Real Projects
Stage 7:
Learn System Design
Stage 8:
Deploy to Production
Stage 9:
Contribute to Open Source
Stage 10:
Teach Others
Most people quit around Stage 4.
Teach Yourself Computer Science;
1. https://t.co/8A5UWq7ESz
2. https://t.co/boPhhL3RZm
All the resources you need to give yourself a world class computer science education, you can find it on the aforementioned websites.
26 WEBSITES WORTH MORE THAN MOST COLLEGE DEGREES
01. Courseradotorg β University courses free to audit
02. Brilliantdotorg β Interactive math and science learning
03. Wolfram Alpha β Answers any mathematical or factual question
04. GitHubdotcom β Learn coding from realβworld projects
05. Investopediadotcom β Finance and investing explained simply
06. Archivedotorg β Millions of free books and old websites
07. Project Gutenberg β 70,000 free classic books
08. Duolingodotcom β Learn any language for free
09. Notiondotso β Organize your entire life and learning
10. Our World in Data β Every global statistic visualized
11. Statistadotcom β Data and statistics on everything
12. OpenLibrarydotorg β Borrow millions of books online free
13. Hemingwayappdotcom β Write clearer and simpler instantly
14. NASAdotgov β Space science and research for free
15. PubMeddotgov β Access real scientific research papers
16. Edxdotorg β Free courses from Harvard, MIT, and more
17. TEDdotcom β Best ideas from the worldβs best thinkers
18. Anki β The most powerful memory tool ever built
19. Canvadotcom β Design anything without being a designer
20. Skillsharedotcom β Creative and practical skill learning
21. Readwisedotio β Remember everything you ever read
22. GoogleScholar β Search real academic papers
23. Codecademydotcom β Learn to code completely free
24. ChatGPT β AI tutor available 24 hours a day
25. Figmadotcom β Learn professional design for free
26. Replitdotcom β Code anything from your browser
A SENIOR GOOGLE ENGINEER DROPPED A 421-PAGE DOC THAT NO ONE IS TALKING ABOUT.
It is called Agentic Design Patterns. 100% FREE.
Every AI builder paying $200/month for courses just got obsoleted.
This is the most comprehensive AI systems guide I have seen in 2026.
Code-backed and production-ready.π
Best YouTube Channels To Learn:
Cybersecurity - John Hammond
Networking - David Bombal
Python - Code With Harry
React - Codevolution
UI/UX - GFXMentor
JavaScript - Traversy Media
Java - kunal kushwaha
DevOps - Techworld with Nana
Blockchain - Telusko
AI/ML- Krish Naik
Web Development - Traversy Media
AWS - Code With Harry
SQL - Programming With Mosh
DBMS - edureka
AI is replacing people without the right skills.
Build AI skills to future-proof your career.
Knowing AI tools isnβt enough. Itβs critical to learn the right AI skills.
These 9 skills outline how professionals work with AI, from basic interaction to system-level execution.
Building a few of them will expand your career options and opportunities.
Hereβs the full breakdown of each skill:
[ π bookmark this post for later ]
1οΏ½οΏ½οΏ½β£ Prompt Engineering
Write clear instructions that produce consistent, useful AI results.
Most people type one prompt and fix the output later. Professionals structured prompts that deliver repeatable outcomes across tools and tasks.
Tools: Claude, ChatGPT
2οΈβ£ Workflow Automation
Link platforms together to let AI handle your repetitive work.
This is how teams eliminate manual handoffs and turn routine processes into background systems.
Tools: n8n, Zapier
3οΈβ£ AI Image Generation
Produce professional-grade visuals for ads and products via text.
Instead of waiting on designers or stock assets, teams generate visuals on demand and iterate instantly.
Tools: NanoBanana (Gemini), Recraft
4οΈβ£ Vibe Coding
Ship working prototypes rapidly without deep manual code knowledge.
The technical wall is gone; founders are now launching functional products by describing their ideas instead of hiring expensive developers.
Tools: Lovable, Replit
5οΈβ£ Custom GPTs
Create tailored AI assistants for specific tasks without code.
This turns AI from a general tool into a system that understands your workflows, tone, and use cases.
Tools: OpenAI GPT Builder, Poe
6οΈβ£ AI Video Generation
Turn concepts into cinematic video content without editing expertise.
Scale video marketing and training at lower costs by generating polished scenes from text scripts.
Tools: Synthesia, Runway
7οΈβ£ AI-Assisted Development
Write and debug code faster using real-time AI guidance.
Developers focus on logic and architecture while AI handles syntax, errors, and refactoring.
Tools: Cursor, Google Antigravity
8οΈβ£ Agentic Coding
Assign full coding tasks to AI agents that strategize and execute.
Instead of guiding every step, you define goals and let agents plan and complete the work.
Tools: OpenAI Codex, Claude Code
9οΈβ£ RAG Systems
Link AI to your internal data for relevant, business-specific responses.
This replaces generic outputs with answers grounded in your documents, systems, and knowledge base.
Tools: LangChain, Haystack
AI tools arenβt enough. Itβs critical to build AI skills.
Use this roadmap to:
β Identify which AI skills support your role or team
β Start with one skill and apply it in real work
β Expand only after you see results
Thatβs how AI becomes a long-term asset, not a distraction.
π Get Advanced ChatGPT Guide (free): https://t.co/kOBWfKrBaX
π Follow me @AndrewBolis for more and π Repost this to help others use AI
π¨Anthropic just showed a 24-minute workshop on how to actually do prompts for Claude.
Taught by the people who built it.
Free. No registration. No paywall.
I've seen $300 courses that don't cover what they teach in the first 8 minutes.
Watch it and bookmark it now.
Anthropic reports Claude now writes over 80% of its own production code β meaning an AI is the primary author of the systems training future versions of itself. Claude's research judgment matched human experts 22% of the time in 2024. Today it's 64%.
The recursive loop has started.
Here is how to Start!
How to clone any successful YouTube channel and launch yours this week.
Step by step. Zero guesswork. π
Step 1 β Find your target channel
Go to YouTube. Search your niche. Find 2 to 3 channels doing exactly what you want to do. Pick the ones with consistent views even on older videos. Copy the links of their top 4 performing videos.
Step 2 β Take it to NotebookLM
Go to (notebooklm. google. com) It is completely free.
Click New Notebook.
Paste all 4 video links inside.
Then ask it this:
"Analyse these videos and tell me the exact blueprint. What topics do they cover. How do they structure their scripts. What makes these videos perform well. What patterns do you notice across all of them."
NotebookLM will break down the entire blueprint for you.
Step 3 β Take the blueprint to Claude AI
Copy everything NotebookLM gives you.
Open Claude AI.
Paste it and type:
"Based on this channel blueprint suggest 5 original video ideas I can create in this same niche. Give me a title, a hook and a brief outline for each one."
Now you have 5 ready to execute video ideas that are proven to work in your niche.
Step 4 β Write your first script
Pick your favourite idea from the 5.
Ask Claude AI:
"Write a full 6 minute YouTube script for this video idea. Make it conversational, beginner friendly and start with a strong hook that stops the scroll."
Script done in minutes.
Step 5 β Generate your voiceover
Go to ElevenLabs free plan.
Paste your script.
Pick a natural professional voice.
Download your voiceover for free.
Step 6 β Create your visuals
Go to Pika Labs or Canva for AI generated visuals and images.
Match them to your script sections.
Download everything free.
Step 7 β Edit your full video
Open CapCut desktop.
Import your voiceover and visuals.
Add automatic captions.
Add background music from YouTube Audio Library.
Export completely free. No watermark.
Step 8 β Design your thumbnail
Open Canva.
Study the thumbnails of your target channel.
Model the style. Bold text. Clean image. High contrast.
Design yours in under 10 minutes or use ChatGPT for free in less than seconds.
Step 9 β Set up your channel and upload
Create your YouTube channel.
Write a clear channel description.
Upload your video.
Open VidIQ free plan.
Add the best keywords to your title, description and tags.
Publish.
Step 10 β Repeat every single week
One video per week minimum.
Same day. Same time.
The algorithm rewards consistency over perfection.
Total tools used:
NotebookLM. Claude AI. ChatGPT. ElevenLabs. Pika Labs. CapCut. Canva. VidIQ.
Total cost: $0
This is exactly what I teach inside my recorded class.
Every step. Done live. With real examples.
The three day live class is now available as a full recorded session.
Watch it at your own pace.
Pause. Rewind. Repeat until your channel is live.
Link is in my bio. π―
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/nQqhVUFcqL
2. LLMs from Scratch: https://t.co/ubOoUe6vyH
3. Agentic AI Overview (Stanford): https://t.co/kjXIX43D0L
4. Building and Evaluating Agents: https://t.co/83gYRKeFR5
5. Building Effective Agents: https://t.co/MHmEK2zWYZ
6. Building Agents with MCP: https://t.co/omeYWlh3O4
7. Building an Agent from Scratch: https://t.co/edG3LXKGnr
8. Philo Agents: https://t.co/U9SkxSDV7A
Repos
1. GenAI Agents: https://t.co/AfZqWiGiRH
2. Microsoft's AI Agents for Beginners: https://t.co/GK6mxZIMRd
3. Prompt Engineering Guide: https://t.co/kwzJNVaMu4
4. Hands-On Large Language Models: https://t.co/lHm4S0iuCQ
5. AI Agents for Beginners: https://t.co/GK6mxZIMRd
6. GenAI Agents: https://t.co/83JIIIyxI8
7. Made with ML: https://t.co/N5vMxjVJlG
8. Hands-On AI Engineering: https://t.co/HavscaaycT
9. Awesome Generative AI Guide: https://t.co/kQR74oyupV
10. Designing Machine Learning Systems: https://t.co/el4wYszXKj
11. Machine Learning for Beginners from Microsoft: https://t.co/lCgRoyNZHF
12. LLM Course: https://t.co/nWv5XKwlfr
πΊοΈ Guides
1. Google's Agent Whitepaper: https://t.co/LSg2CNyzEk
2. Google's Agent Companion: https://t.co/NqE6RLjVlK
3. Building Effective Agents by Anthropic: https://t.co/Oolxsg0dxj
4. Claude Code Best Agentic Coding practices: https://t.co/lvgJ6XphoE
5. OpenAI's Practical Guide to Building Agents: https://t.co/AAbfO22cN3
π Books:
1. Understanding Deep Learning: https://t.co/rWGlscigIQ
2. Building an LLM from Scratch: https://t.co/BnLjj8RZPT
3. The LLM Engineering Handbook: https://t.co/5t64XWDxnR
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/j7HifJCexk
5. Building Applications with AI Agents - Michael Albada: https://t.co/nKkMGKiEI3
6. AI Agents with MCP - Kyle Stratis: https://t.co/54Lrbd9JS8
7. AI Engineering: https://t.co/W7x7c0B2bJ
π Papers
1. ReAct: https://t.co/F15yJ9qjGR
2. Generative Agents: https://t.co/FuG0nPgvSh
3. Toolformer: https://t.co/YVxz0njJO8
4. Chain-of-Thought Prompting: https://t.co/pzHWRsLHxB
π§π« Courses:
1. HuggingFace's Agent Course: https://t.co/ij2gBu4HfN
2. MCP with Anthropic: https://t.co/1E3XNPWtoz
3. Building Vector Databases with Pinecone: https://t.co/FILukUkQTf
4. Vector Databases from Embeddings to Apps: https://t.co/hGSoowltVn
5. Agent Memory: https://t.co/3IFKV0d00J
β€οΈ Like
π Repost
π Bookmark
Follow @SaurabhDub28465 for more of these free courses, AI &Tech productivity content.
Comment link I'll share in the DM
Hey you;
Get a laptop, buy a headphone, go to YouTube, search Transcription, how to transcribe, English transcription short course.
Practice with sample tests, repeat. Go to Outlier or any other AI training platforms, esp US accounts.
End of Poverty!
Software Developer Roadmap to Get Hired in 2026
- Learn One Language Well β Java / Python / JavaScript / C++
-Master DSA β Arrays, Trees, Graphs, DP
- Learn Git & GitHub β Version control is non-negotiable
- Build Projects β Full-stack > Tutorial certificates
- Learn Databases β SQL + basic NoSQL
-Learn Backend β Spring Boot / Node.js / Django
- Learn Cloud Basics β AWS, Docker, CI/CD
- Use AI Tools β ChatGPT, Claude, Cursor
- Learn System Design β APIs, caching, scaling
- Build in Public β GitHub, LinkedIn, Portfolio
-Apply + Network β Referrals > Cold applications
-- Repeat for 6β12 months --
The harsh truth:
2026 won't reward the person who knows the most.
It will reward the person who can prove they can build