Sanghicious

क्रोधाद्भवति संमोह: संमोहात्स्मृतिविभ्रम:।
स्मृतिभ्रंशाद्बुद्धिनाशो बुद्धिनाशात्प्रणश्यति॥

[Sanghicious @sanghicious]

@abhinavflac What was the prompt though?

[Bee @thtbee_]

Gemini 4 Pro has surprised again - A mechanical Bee :)

It has improved a lot since the last checkpoint in terms of design taste and prompt adherence..

I have a few more outputs that I'll be sharing soon..

I'd been trying endlessly since the new checkpoint dropped, and finally got it a couple of times today between 4-5 AM for some outputs.. Not able to get it since, so it might have been pulled off again.. Please confirm if anyone else can get it..

[Karan Vaidya @KaranVaidya6]

We are launching Open Dots, run the same capabilities in 1/10th of the cost

OpenAI shipped Dot yesterday for Pro users.

Ours is open source, runs on your Mac and cheaper

Here's how it works:
- each dot has its own browser that stays logged in securely
- it can use and setup triggers on your Gmail, Calendar and 1,500 other apps
- you can call it and give it things to do while you talk
- dots can coordinate and schedule reminders

built with @composio @OpenRouter

free and open source: https://t.co/f7KctlpMBj

[Hang Huang ☁️ @hanghuang_]

Jev cleaned my desktop!

600+ files sorted neatly into categorized folders.

All for free.

Because I self-hosted Laya (open-source Jev alternative, 29k GitHub stars) on InstaCloud ☁️

[Sanghicious @sanghicious]

@Jasi2169 Appreciation Post here! Lots of love and thanks for doing the good work!

[𝘿 @ActressStan_X]

Insane Face Card BhagyashriBorse 🛐

A Thread 🧵

1/8

[Dhanian 🗯️ @e_opore]

20 Backend Engineering concepts every developer should know :-

1. REST APIs — build standardized web services

2. GraphQL — flexible API query language

3. Authentication — verify user identity securely

4. Authorization — control access to resources

5. JWT — stateless authentication using tokens

6. CRUD Operations — create, read, update, and delete data

7. SQL Databases — structured relational data storage

8. NoSQL Databases — flexible document and key-value storage

9. Database Indexing — speed up query performance

10. Caching — reduce latency with Redis or Memcached

11. Message Queues — asynchronous communication between services

12. Microservices — build applications as independent services

13. API Rate Limiting — prevent abuse and overload

14. Load Balancing — distribute traffic across servers

15. WebSockets — enable real-time bidirectional communication

16. Logging — record application events for debugging

17. Monitoring — track application health and performance

18. Docker — containerize backend applications

19. CI/CD — automate testing and deployment pipelines

20. Reverse Proxy — route and secure incoming traffic with tools like Nginx or HAProxy

Grab the Backend Engineering Ebook: https://t.co/t9mqUuRbjx

[Dhanian 🗯️ @e_opore]

MASTERING PLAN FOR DOCKER

STEP 1: UNDERSTAND CONTAINER FUNDAMENTALS

→ Virtualization vs containerization
→ What Docker is and why it matters
→ Docker architecture
→ Docker Engine and Docker Desktop
→ Images vs containers
→ Docker workflow

Build a solid understanding of containers before using Docker.

STEP 2: INSTALL AND USE DOCKER

→ Installing Docker
→ Docker CLI basics
→ Running your first container
→ Pulling images from Docker Hub
→ Listing and managing containers
→ Managing Docker images

Learn the essential commands you'll use every day.

STEP 3: BUILD DOCKER IMAGES

→ Understanding Dockerfiles
→ Dockerfile instructions
→ Building custom images
→ Image layers and caching
→ Optimizing image size
→ Multi-stage builds

Efficient Docker images improve performance and deployment speed.

STEP 4: MANAGE CONTAINERS

→ Starting and stopping containers
→ Restart policies
→ Inspecting containers
→ Viewing container logs
→ Executing commands inside containers
→ Removing unused containers

Container management is a core Docker skill.

STEP 5: DATA MANAGEMENT

→ Docker volumes
→ Bind mounts
→ Named volumes
→ Persistent storage
→ Volume backups
→ Sharing data between containers

Persistent storage is essential for production applications.

STEP 6: NETWORKING IN DOCKER

→ Docker networking basics
→ Bridge networks
→ Host networking
→ Overlay networks
→ Container communication
→ Port mapping and exposure

Networking allows containers to communicate efficiently.

STEP 7: DOCKER COMPOSE

→ Installing Docker Compose
→ Compose YAML syntax
→ Multi-container applications
→ Environment variables
→ Managing services
→ Scaling services with Compose

Docker Compose simplifies multi-container development.

STEP 8: DOCKER REGISTRIES

→ Docker Hub
→ Private registries
→ Tagging images
→ Pushing and pulling images
→ Image versioning
→ Registry authentication

Registries make sharing and deploying containers easy.

STEP 9: SECURITY BEST PRACTICES

→ Running non-root containers
→ Image vulnerability scanning
→ Managing secrets
→ Securing Docker daemon
→ Least privilege principle
→ Image signing basics

Secure containers are essential in production.

STEP 10: MONITORING AND TROUBLESHOOTING

→ Docker logs
→ Resource monitoring
→ Debugging containers
→ Health checks
→ Inspecting networks
→ Performance optimization

Monitoring helps maintain reliable containerized applications.

STEP 11: DOCKER IN DEVOPS

→ CI/CD integration
→ Automated image builds
→ Deployment pipelines
→ Infrastructure as Code
→ Docker with GitHub Actions
→ Continuous delivery workflows

Docker is a key component of modern DevOps.

STEP 12: DOCKER AND KUBERNETES

→ Kubernetes fundamentals
→ Running Docker containers in Kubernetes
→ Pods and deployments
→ Services and networking
→ ConfigMaps and Secrets
→ Scaling containerized applications

Docker and Kubernetes work together in cloud-native environments.

STEP 13: ADVANCED DOCKER CONCEPTS

→ Multi-stage production builds
→ BuildKit
→ Docker contexts
→ Resource limits
→ Docker Swarm basics
→ Container orchestration overview

Advanced features improve scalability and maintainability.

STEP 14: BUILD REAL-WORLD PROJECTS

→ Containerize a web application
→ Deploy a full-stack application
→ Create a development environment with Docker Compose
→ Deploy a database container
→ Build a CI/CD pipeline using Docker
→ Deploy production-ready microservices

Projects transform Docker knowledge into practical skills.

STEP 15: INTERVIEW PREPARATION AND PRODUCTION SKILLS

→ Docker interview questions
→ Troubleshooting container issues
→ Image optimization techniques
→ Production deployment strategies
→ Container security scenarios
→ Real-world DevOps workflows

Hands-on experience is the key to mastering Docker.

DOCKER HANDBOOK

Get the complete Docker Handbook with deep explanations:
https://t.co/DLllv30suF

[Dhanian 🗯️ @e_opore]

📂 Docker Roadmap (Mastering Containers & Modern Application Deployment)
┃
┣ 📂 Foundations
┃ ┣ 📂 Linux Basics (Processes, Filesystem, Networking)
┃ ┣ 📂 Virtual Machines vs Containers
┃ ┣ 📂 What is Docker & Why It Matters
┃ ┣ 📂 Installing Docker
┃ ┗ 📂 Docker Architecture (Client, Daemon, Registry)
┃
┣ 📂 Docker Fundamentals
┃ ┣ 📂 Images & Containers
┃ ┣ 📂 Pulling & Running Containers
┃ ┣ 📂 Container Lifecycle Management
┃ ┣ 📂 Docker CLI Commands
┃ ┗ 📂 Understanding Docker Hub
┃
┣ 📂 Working with Images
┃ ┣ 📂 Docker Images Explained
┃ ┣ 📂 Creating Custom Images
┃ ┣ 📂 Dockerfile Basics
┃ ┣ 📂 Image Layers & Caching
┃ ┗ 📂 Image Optimization Techniques
┃
┣ 📂 Dockerfile Mastery
┃ ┣ 📂 FROM, RUN, COPY, ADD
┃ ┣ 📂 CMD vs ENTRYPOINT
┃ ┣ 📂 ENV & ARG Variables
┃ ┣ 📂 Multi-Stage Builds
┃ ┗ 📂 Best Practices for Production Images
┃
┣ 📂 Data Management
┃ ┣ 📂 Docker Volumes
┃ ┣ 📂 Bind Mounts
┃ ┣ 📂 Persistent Data Storage
┃ ┣ 📂 Backup & Restore Strategies
┃ ┗ 📂 Managing Stateful Applications
┃
┣ 📂 Networking in Docker
┃ ┣ 📂 Container Networking Basics
┃ ┣ 📂 Bridge Networks
┃ ┣ 📂 Host Networks
┃ ┣ 📂 Overlay Networks
┃ ┗ 📂 Service Discovery & Communication
┃
┣ 📂 Docker Compose
┃ ┣ 📂 Introduction to Docker Compose
┃ ┣ 📂 docker-compose.yml Structure
┃ ┣ 📂 Multi-Container Applications
┃ ┣ 📂 Environment Variables & Secrets
┃ ┗ 📂 Managing Development Environments
┃
┣ 📂 Security Best Practices
┃ ┣ 📂 Container Isolation
┃ ┣ 📂 Secure Image Creation
┃ ┣ 📂 Secrets Management
┃ ┣ 📂 Vulnerability Scanning
┃ ┗ 📂 Docker Security Hardening
┃
┣ 📂 Monitoring & Troubleshooting
┃ ┣ 📂 Container Logs
┃ ┣ 📂 Inspecting Containers
┃ ┣ 📂 Resource Monitoring
┃ ┣ 📂 Debugging Running Containers
┃ ┗ 📂 Performance Analysis
┃
┣ 📂 Docker in CI/CD
┃ ┣ 📂 Docker with GitHub Actions
┃ ┣ 📂 Automated Image Builds
┃ ┣ 📂 Container Registries
┃ ┣ 📂 Deployment Pipelines
┃ ┗ 📂 Continuous Delivery Workflows
┃
┣ 📂 Docker & Cloud
┃ ┣ 📂 Deploying Containers on AWS
┃ ┣ 📂 Deploying Containers on Azure
┃ ┣ 📂 Deploying Containers on Google Cloud
┃ ┣ 📂 Docker with Kubernetes
┃ ┗ 📂 Containerized Microservices
┃
┣ 📂 Advanced Docker Concepts
┃ ┣ 📂 Docker Swarm
┃ ┣ 📂 Multi-Architecture Images
┃ ┣ 📂 BuildKit & Advanced Builds
┃ ┣ 📂 Container Orchestration Basics
┃ ┗ 📂 Production Deployment Strategies
┃
┣ 📂 Real-World Projects
┃ ┣ 📂 Containerized Full Stack App
┃ ┣ 📂 Dockerized Node.js API
┃ ┣ 📂 Multi-Service SaaS Application
┃ ┣ 📂 CI/CD Pipeline with Docker
┃ ┗ 📂 Production-Ready Microservices Setup
┃
┣ 📂 Practice & Growth
┃ ┣ 📂 Build & Deploy Projects
┃ ┣ 📂 Learn Container Debugging
┃ ┣ 📂 Contribute to Open Source
┃ ┣ 📂 Create DevOps Portfolio Projects
┃ ┗ 📂 Docker Certification Preparation
┃
┗ 📂 Career & Monetization
┣ 📂 DevOps Engineer Roles
┣ 📂 Cloud Engineer Roles
┣ 📂 Platform Engineer Roles
┣ 📂 Freelancing & Consulting
┗ 📂 Continuous Learning

Follow this consistently for 1–3 months and you’ll become highly proficient in Docker and containerized application deployment

Grab the Docker Ebook:
https://t.co/DLllv30suF

[Tom Dörr @tom_doerr]

Step-by-step notebooks for building RAG systems

https://t.co/W5CL03WZKg

[Sanghicious @sanghicious]

@thsottiaux When are those reset limits @thsottiaux ?

[Shikhar @shekhu04]

I want to make my backend concepts strong. Is this playlist good????

open for suggestions...

[Ram Singh Verma @RamSingh_369]

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/WskqzJTcGc

2. LLMs from Scratch: https://t.co/TPW7Tg6BcG

3. Agentic AI Overview (Stanford): https://t.co/BVri5LmUK2

4. Building and Evaluating Agents: https://t.co/q8Mykm70ei

5. Building Effective Agents: https://t.co/1aE3Mj0g11

6. Building Agents with MCP: https://t.co/fM84ibLQgu

7. Building an Agent from Scratch: https://t.co/ZazxP4Dgws

8. Philo Agents: https://t.co/YrLwG6a2AT

🗂️ Repos

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

2. Microsoft's AI Agents for Beginners: https://t.co/3bGZGzH37t

3. Prompt Engineering Guide: https://t.co/GsL0XQGWRB

4. Hands-On Large Language Models: https://t.co/2LKJuJ8Cyh

5. AI Agents for Beginners: https://t.co/3bGZGzH37t

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

7. Made with ML: https://t.co/QAd73HJLti

8. Hands-On AI Engineering:https://t.co/Zt0sOOKpNw

9. Awesome Generative AI Guide: https://t.co/pYNP3pVwUD

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

11. Machine Learning for Beginners from Microsoft: https://t.co/FfS2lLr9Oz

12. LLM Course: https://t.co/xAqrN4RXT4

🗺️ Guides

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

2. Google's Agent Companion: https://t.co/xNGgi4NOg4

3. Building Effective Agents by Anthropic: https://t.co/S38ma9xXKI.

4. Claude Code Best Agentic Coding practices: https://t.co/ZAMDEbPu0r

5. OpenAI's Practical Guide to Building Agents: https://t.co/gWKGllg4QB

📚Books:

1. Understanding Deep Learning: https://t.co/Lwjgda57gG

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

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

4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/1fHPUhvjNh

5. Building Applications with AI Agents - Michael Albada: https://t.co/YtCA7LI5lp

6. AI Agents with MCP - Kyle Stratis: https://t.co/93ATwSgPwK

7. AI Engineering: https://t.co/yUd2n71Z9e

📜 Papers

1. ReAct: https://t.co/vUG26O97Pu

2. Generative Agents: https://t.co/fQw1eB67Br.

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

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

🧑🏫 Courses:

1. HuggingFace's Agent Course: https://t.co/9kyaHGToA7

2. MCP with Anthropic: https://t.co/NoAAJW39LH

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

4. Vector Databases from Embeddings to Apps: https://t.co/D8zYQNNPtr

5. Agent Memory: https://t.co/CkbJlmnY6Q

Repost for your network ♻️

[Dhanian 🗯️ @e_opore]

Java Learning Structure 2026

java-learning/
├── fundamentals/ # Core Java basics
│ ├── intro-to-java # Introduction to Java
│ ├── setup # JDK & IDE setup
│ ├── syntax # Java syntax basics
│ ├── variables # Variables & data types
│ ├── operators # Operators in Java
│ └── control-flow # If-else, loops, switch
│
├── oop/ # Object-Oriented Programming
│ ├── classes-objects # Classes and objects
│ ├── inheritance # Inheritance
│ ├── polymorphism # Method overloading/overriding
│ ├── encapsulation # Data hiding
│ └── abstraction # Abstract classes & interfaces
│
├── core-java/ # Core Java concepts
│ ├── arrays # Arrays
│ ├── strings # String handling
│ ├── collections # List, Set, Map
│ ├── generics # Generics
│ ├── exceptions # Exception handling
│ └── enums # Enums
│
├── advanced-java/ # Advanced concepts
│ ├── multithreading # Threads & concurrency
│ ├── streams # Stream API
│ ├── lambda # Lambda expressions
│ ├── file-handling # File I/O
│ └── networking # Sockets & HTTP
│
├── frameworks/ # Java frameworks
│ ├── spring/
│ │ ├── spring-core # Spring fundamentals
│ │ ├── spring-boot # Spring Boot basics
│ │ ├── spring-mvc # MVC architecture
│ │ └── spring-security # Authentication & authorization
│ │
│ └── hibernate/
│ └── orm # ORM with Hibernate
│
├── database/ # Database integration
│ ├── jdbc # JDBC basics
│ ├── sql # SQL for Java developers
│ └── jpa # Java Persistence API
│
├── build-tools/ # Build & dependency management
│ ├── maven/
│ │ └── pom.xml # Maven configuration
│ │
│ └── gradle/
│ └── build.gradle # Gradle configuration
│
├── testing/ # Testing in Java
│ ├── junit # Unit testing with JUnit
│ ├── mockito # Mocking dependencies
│ └── integration-testing # Integration tests
│
├── devops/ # Java in DevOps
│ ├── docker # Dockerizing Java apps
│ ├── ci-cd # CI/CD pipelines
│ └── deployment # Deployment strategies
│
├── projects/ # Hands-on projects
│ ├── project1-cli-app # Command-line application
│ ├── project2-rest-api # REST API with Spring Boot
│ ├── project3-fullstack-app # Full stack Java app
│ └── project4-microservices # Microservices architecture
│
├── interview-prep/ # Interview preparation
│ ├── java-questions # Common Java questions
│ ├── dsa-java # DSA in Java
│ └── System design basics
│
├── .gitignore
├── README # Documentation
└── roadmap
Master Java with this complete guide:
https://t.co/STSI0ZDYpa

[Sripathi Teja @sripathiteja4]

Claude just dropped 13 FREE AI courses (with certificates).

No $500 course needed.

No “guru” required.

Just real skills — straight from Anthropic.

Here’s the full list:

👇

1. Claude 101
  https://t.co/Vj6ZMlxdUQ

2. AI Fluency: Frameworks & Foundations
  https://t.co/0oetkYqMMY

3. Introduction to Agent Skills
  https://t.co/kPxoAI5TAG

4. Building with the Claude API
  https://t.co/J18geELsOk

5. Claude Code in Action
  https://t.co/8spbTQcT0O

6. Introduction to Model Context Protocol
  https://t.co/HbqzbnXkym

7. MCP: Advanced Topics
  https://t.co/utGvbWAcyF

8. AI Fluency for Students
  https://t.co/XMSle1vsuo

9. AI Fluency for Educators
  https://t.co/LmsDPzepVh

10. Teaching AI Fluency
  https://t.co/wMfUgjDjEf

11. AI Fluency for Nonprofits
  https://t.co/ef11M5zDfL

12. Claude with Amazon Bedrock
  https://t.co/maguYPfmb7

13. Claude with Google Vertex AI
  https://t.co/rm6ZeHaJ9P

If you go through even HALF of these…

You’ll be ahead of 95% of people using AI.

Most people won’t.

Because they’re still:

• Watching random YouTube videos
• Buying overpriced courses
• “Learning AI” without actually building

Don’t be that person.

Do this instead:

1. Save this post (you’ll come back to it)
2. Pick 1 course → start today
3. Share it with someone who needs this

Free. Practical. No excuses.

Follow @sripathiteja4 for more.

[Indu Tripathi @InduTripat82427]

Learn AI for free directly from top companies.

1 - Anthropic:
https://t.co/AsLXSZ5U82

2 - Google:
https://t.co/XklH2XVwla

3 - Meta:
https://t.co/MfZ6b9qQPP

4 - NVIDIA:
https://t.co/K6tfhpkMk5

5 - Microsoft:
https://t.co/MspZSPpu17

6 - OpenAI:
https://t.co/Ss3zqpwz5H

7 - IBM:
https://t.co/wADoYKb5Pm

8 - AWS:
https://t.co/jsTQYyJsj4

9 - https://t.co/7nLjPSE8Mb:
https://t.co/4lkwBZ0aPQ

10 - Hugging Face:
https://t.co/apoz0EKqpG

👇Comment "Learning" if you find this helpful.

Repost so others can take help.

Must bookmark for future reference.

[Dhanian 🗯️ @e_opore]

API Design Concepts to Master before Interviews ✅

1. RESTful API Principles (Resources, Methods, Statelessness)

2. HTTP Methods & Status Codes (GET, POST, PUT, DELETE, 200, 404, 500)

3. API Naming Conventions & URI Design

4. Request & Response Structure (JSON, XML)

5. Versioning Strategies (URL, Header, Semantic Versioning)

6. Authentication Methods (API Keys, JWT, OAuth2)

7. Authorization & Access Control

8. Idempotency & Safe Operations

9. Pagination, Filtering & Sorting

10. Rate Limiting & Throttling

11. Caching Strategies (ETags, Cache-Control)

12. Error Handling & Standardized Responses

13. API Documentation (OpenAPI/Swagger)

14. API Testing (Postman, Insomnia)

15. GraphQL vs REST vs gRPC

16. Webhooks & Event-Driven APIs

17. API Gateway & Reverse Proxy

18. Security Best Practices (HTTPS, TLS, Encryption)

19. Input Validation & Data Sanitization

20. Logging & Monitoring APIs

21. API Performance Optimization

22. Contract-First vs Code-First Design

23. SDK Generation & Developer Experience (DX)

24. Backward Compatibility & Deprecation Strategy

25. Microservices API Communication

26. Service Discovery & Load Balancing

27. API Lifecycle Management

28. Multi-Tenancy in APIs

29. Observability (Tracing, Metrics, Logs)

30. Governance & API Standards

📘 Grab this Ebook for Deep API Design Mastery
👉 https://t.co/t2KOeauy6O

[Dhanian 🗯️ @e_opore]

📂 Complete AI Agent Developer Roadmap (From Zero to Production-Ready)
┃
┣ 📂 Foundations of AI
┃ ┣ 📂 Generative AI Concepts
┃ ┣ 📂 Machine Learning Basics
┃ ┣ 📂 Large Language Models (LLMs)
┃ ┣ 📂 Prompt Engineering
┃ ┗ 📂 Retrieval-Augmented Generation (RAG)
┃
┣ 📂 Programming & Core Skills
┃ ┣ 📂 Python (Core + Advanced)
┃ ┣ 📂 APIs & HTTP Requests
┃ ┣ 📂 Data Structures & Algorithms (Basics)
┃ ┣ 📂 JSON & Data Handling
┃ ┗ 📂 Async Programming
┃
┣ 📂 AI Agent Frameworks
┃ ┣ 📂 LangChain
┃ ┣ 📂 LlamaIndex
┃ ┣ 📂 AutoGen
┃ ┣ 📂 Semantic Kernel
┃ ┗ 📂 CrewAI / AutoGPT
┃
┣ 📂 Working with LLM APIs
┃ ┣ 📂 OpenAI API
┃ ┣ 📂 Google Gemini
┃ ┣ 📂 Anthropic Claude
┃ ┣ 📂 Hugging Face Transformers
┃ ┗ 📂 Model Selection & Token Optimization
┃
┣ 📂 Tool Usage & Integrations
┃ ┣ 📂 Function Calling
┃ ┣ 📂 Web Scraping Tools
┃ ┣ 📂 Database Integration (Vector DBs)
┃ ┣ 📂 APIs & Plugins
┃ ┗ 📂 External Tools (Search, File Systems)
┃
┣ 📂 Memory & Context Management
┃ ┣ 📂 Short-Term Memory
┃ ┣ 📂 Long-Term Memory
┃ ┣ 📂 Vector Databases (Pinecone, Weaviate)
┃ ┣ 📂 Embeddings
┃ ┗ 📂 Context Window Optimization
┃
┣ 📂 Advanced AI Agent Concepts
┃ ┣ 📂 Multi-Agent Systems
┃ ┣ 📂 Autonomous Agents
┃ ┣ 📂 AI Workflows & Orchestration
┃ ┣ 📂 Planning & Reasoning
┃ ┗ 📂 Tool-Using Agents
┃
┣ 📂 Deployment & Scaling
┃ ┣ 📂 Docker & Containerization
┃ ┣ 📂 Serverless (AWS Lambda, Vercel)
┃ ┣ 📂 API Deployment (FastAPI)
┃ ┣ 📂 Monitoring & Logging
┃ ┗ 📂 Scaling Strategies
┃
┣ 📂 Security & Ethics
┃ ┣ 📂 AI Safety
┃ ┣ 📂 Data Privacy
┃ ┣ 📂 Prompt Injection Protection
┃ ┣ 📂 Bias & Fairness
┃ ┗ 📂 Compliance & Governance
┃
┣ 📂 Real-World Projects
┃ ┣ 📂 AI Chatbot
┃ ┣ 📂 AI Code Assistant
┃ ┣ 📂 AI SaaS Tool
┃ ┣ 📂 Document Analyzer Agent
┃ ┗ 📂 Autonomous Task Agent
┃
┣ 📂 Practice & Optimization
┃ ┣ 📂 Prompt Iteration
┃ ┣ 📂 Performance Tuning
┃ ┣ 📂 Cost Optimization
┃ ┣ 📂 Evaluation Metrics
┃ ┗ 📂 Continuous Improvement
┃
┗ 📂 Career & Monetization
┣ 📂 Build Portfolio Projects
┣ 📂 Freelancing / SaaS
┣ 📂 Open Source Contributions
┣ 📂 Technical Writing / Content
┗ 📂 Interview Preparation

Follow this consistently for 2–4 months and you’ll be ahead of 95% of developers in the AI era

Grab the AI Agent Developer's Handbook: https://t.co/5ZFjNg8fKT

[Dhanian 🗯️ @e_opore]

50+ Backend Project Ideas For Developers.

Grab the Backend Projects Handbook:
https://t.co/IJN0CoY9ej

[Swapna Kumar Panda @swapnakpanda]

If I were a beginner in System Design, I would start by watching these Videos: