Diksha.mittal2

[Dharmik Harinkhede @AiwithDharmik]

20 YouTube channels that teach AI better than most CS degrees.

Free. No application required. No tuition.

This list covers everything: theory, intuition, implementation, research.

Here's the full list:
👇

1. Andrej Karpathy
Deep, intuitive walkthroughs of neural networks and modern LLMs
Link: https://t.co/VhrPS6mRJF

2. 3Blue1Brown
Visual intuition for math, linear algebra, and neural networks
Link: https://t.co/16cFDyp7YP

3. StatQuest with Josh Starmer
Clear, friendly explanations of statistics and ML fundamentals
Link: https://t.co/U2wZJc3JLV

4. Stanford Online
University-grade ML and AI lecture series (Andrew Ng, CS229, etc.)
Link: https://t.co/Zj5FMcGPNa

5. freeCodeCamp
Full-length AI and ML courses — structured, free, and constantly updated
Link: https://t.co/hXVr0KEVX6

6. sentdex
Practical machine learning and Python projects
Link: https://t.co/ZGtXhYUUnZ

7. Yannic Kilcher
Deep dives into ML and AI research papers
Link: https://t.co/J5hXNTp3DY

8. MIT OpenCourseWare
Rigorous academic courses on ML, AI, and applied mathematics
Link: https://t.co/Dg5O9NyQWW

9. DeepLearningAI
Structured learning paths for deep learning and generative AI
Link: https://t.co/Nm5OhqrbI1

10. Two Minute Papers
Fast, accessible summaries of cutting-edge AI research
Link: https://t.co/mL5bY9kImz

11. Umar Jamil
Clear, implementation-focused explanations of transformers and LLMs
Link: https://t.co/VknS4Zyqr3

12. Hugging Face
Open-source LLMs, transformers, and modern NLP tooling
Link: https://t.co/b6A7qSwhRW

13. AI Explained
Accessible breakdowns of the latest AI research and model releases
Link: https://t.co/UndrSMlReG

14. Lex Fridman
Long-form conversations with top AI researchers and practitioners
Link: https://t.co/maxG9W4bM4

15. Matt Wolfe
The fastest way to stay current on AI tools, news, and releases
Link: https://t.co/6eNhNS861T

16. Machine Learning Street Talk
Unfiltered, technical discussions on AI research and theory
Link: https://t.co/Lu6Daamcrz

17. Jeremy Howard
Practical deep learning with strong intuition
Link: https://t.co/SjEggqxBQe

18. Kaggle
Applied ML, competitions, notebooks, and real-world workflows
Link: https://t.co/I90OW4LfoV

19. Tina Huang
Career-focused AI and data science from an ex-Meta data scientist
Link: https://t.co/kxOyBYxNnx

20. Anthropic
AI safety, model research, and how frontier AI actually gets built
Link: https://t.co/fsW7wWfint

The best AI education isn't behind a paywall.

It never was.

While people debate which bootcamp to buy,
the best instructors in the world are uploading for free.

Every week.

♻️ Repost to give your network an unfair advantage.__

1. Follow @Dharmikpawar31
2. Save the post.
3. Repost to your network.
4. Join My AI Community: https://t.co/Kcq5K41Hem

[Sripathi Teja @sripathiteja4]

Learn AI for free directly from top companies.

1 - Anthropic:
https://t.co/9EduZDcj9Z

2 - Google:
https://t.co/99Czpf5KKs

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

4 - NVIDIA:
https://t.co/8jpLrGJzxy

5 - Microsoft:
https://t.co/wmK2R8oilJ

6 - OpenAI:
https://t.co/ifQ8cEx0Qt

7 - IBM:
https://t.co/QFGI0v8Cqa

8 - AWS:
https://t.co/nati5WaARH

9 - https://t.co/0vjKn1mtg2:
https://t.co/bOlcLMfgyd

10 - Hugging Face:
https://t.co/bmSTfzCvB4

👇Comment "Learning" if you find this helpful.

Repost so others can take help.

Must bookmark for future reference.

[Neo Kim @systemdesignone]

If you want to become good at system design (in 30 days), learn these 30 case studies:

1 How Stock Exchange Works
→ https://t.co/ckLlZUh4UR

2 How YouTube Works
→ https://t.co/dTVLjI8EYh

3 How Google Docs Works
→ https://t.co/lXjTlb3Vm9

4 How Kafka Works
→ https://t.co/1D04tpNm2q

5 How URL Shorteners Work
→ https://t.co/SNxRzuzV6B

6 How WhatsApp Works
→ https://t.co/phAf30nR2M

7 How Airbnb Works
→ https://t.co/4NZMIlN70F

8 How Spotify Works
→ https://t.co/d1rGAvPIxA

9 How Slack Works
→ https://t.co/dpjG03ZvlL

10 How Reddit Works
→ https://t.co/J3ZrmwJ0q4

11 How Bluesky Works
→ https://t.co/wfo35CdFvm

12 How Tinder Works
→ https://t.co/uTLfmUajeG

13 How Twitter Timeline Works
→ https://t.co/T7xJTWL30C

14 How Uber Finds Nearby Drivers
→ https://t.co/UX8AA8yNmv

15 How Amazon S3 Works
→ https://t.co/fOchSbdw3C

16 How Apple AirTags Work
→ https://t.co/02ChJDY5Y5

17 How LLMs Actually Work
→ https://t.co/VW4fD9fH8P

18 How ChatGPT Apps Work
→ https://t.co/cK51NCi6OQ

19 How Uber Computes ETA
→ https://t.co/t5G2mhzahX

20 How Meta Serverless Works
→ https://t.co/jVCIuoN4wj

21 How Live Comments Work
→ https://t.co/UzdZPXinxX

22 How Real-Time Leaderboards Work
→ https://t.co/tPqC4Cear5

23 How Live Presence Works
→ https://t.co/u7LWmkQ9UB

24 How YouTube Scales MySQL
→ https://t.co/vm2enNgV16

25 How Vector Databases Work
→ https://t.co/UAtlY6Ntle

26 How Pastebin Works
→ https://t.co/nVS9TKAluk

27 How ChatGPT Works
→ https://t.co/wgE4cxO7i2

28 How Nginx Works
→ https://t.co/XX0ukXAQuG

29 How Lyft Works
→ https://t.co/T9fvldjqC4

30 How Google Search Works
→ https://t.co/DVlsy0vLPq

What else should make this list?

===

👋 PS - Want my System Design Playbook for FREE?

Try the link below to join my newsletter right now:

→ https://t.co/ByOFTtOihX

(200K+ software engineers are already inside.)

===

💾 Save & RT to help others learn system design.
👤 Follow @systemdesignone + turn on notifications.

[Ritesh Roushan @devXritesh]

System Design Series - Day 8/30

API Gateway Patterns – The Front Door of Your Microservices

API Gateway is the single entry point for all your clients.

Without it:
- Mobile/web clients call 10+ different services directly
- Authentication is duplicated everywhere
- Rate limiting, CORS, logging → repeated in every service
- Services are fully exposed to the internet

With it:
- One clean URL for clients
- Centralized auth, rate limiting, routing, aggregation
- Backend services stay hidden and secure

Here’s everything you need to know about API Gateway patterns.

What is an API Gateway?

Think of it as the hotel front desk

Without a front desk:
- Guests wander around looking for rooms
- No security check
- Housekeeping and room service have no coordination

With a front desk:
- Single check-in point
- Routes guests to correct room
- Handles security, coordination, and requests

API Gateway does exactly that for your microservices.

The Problem It Solves

Before API Gateway:

Mobile app needs user profile + orders:
→ Calls User Service directly
→ Calls Order Service directly
→ Calls Payment Service directly

Problems:
- Client knows internal service URLs
- Multiple network calls (slow on mobile)
- Auth tokens sent to every service
- No centralized rate limiting or logging
- Services exposed to the internet

After API Gateway:

Mobile app calls one URL:
https://api.example. com/profile

Gateway handles everything internally:
- Authenticates once
- Routes and aggregates calls
- Returns combined response

Benefits:
- 1 network call from client
- Services completely hidden (security win)
- Centralized cross-cutting concerns
- Much better client experience

Core Responsibilities:
1. Routing
Maps external URLs to internal services
GET /api/users → User Service
GET /api/orders → Order Service

2. Authentication & Authorization
Validates JWT/OAuth once at the gateway.
Services trust the gateway.

3. Rate Limiting
Prevents abuse (e.g., 100 requests/min per user).

4. Request Aggregation
Combines multiple backend calls into one response for the client.

5. Protocol Translation
Client uses REST → Service uses gRPC (handled at gateway).

Advanced Patterns

- Circuit Breaker → Prevents cascading failures when a service is down

- Request/Response Transformation → Convert old → new API formats

- Caching → Cache frequent responses at the gateway level

- Logging & Monitoring → Centralized observability

When to Use API Gateway

Use it when:
- You have multiple microservices
- External clients (mobile, web, third-party)
- You need centralized auth, rate limiting, or aggregation

Don’t use it when:
- Simple monolith (overkill)
- Only internal service-to-service communication
- Ultra-low latency is critical (extra hop)

Popular Solutions

- Kong (open-source, powerful plugins)
- AWS API Gateway (managed, serverless)
- NGINX + Lua (DIY, lightweight)
- Traefik, Envoy, KrakenD

Summary

API Gateway is not just a proxy.

It is the security layer, traffic manager, and aggregator for your entire backend.

It simplifies client code, hides internal complexity, and centralizes cross-cutting concerns.

Trade-offs:
- Extra network hop (adds latency)
- Becomes a critical component (make it highly available)

Used correctly, it’s one of the most valuable pieces in any microservices architecture.

Tomorrow (Day 9): Inter-Service Communication Patterns

Questions about API Gateway?

Drop them below 👇

#SystemDesign #APIGateway #Microservices #Backend

[Neo Kim @systemdesignone]

If you're serious about system design (in 2026), learn these 26 case studies:

1 How Stock Exchange Works:
↳ https://t.co/iFNSX9TM9O

2 How YouTube Works:
↳ https://t.co/kHk3g6jz6t

3 How Kafka Works:
↳ https://t.co/8rOy9KgCMo

4 How Google Docs Works:
↳ https://t.co/W57IkAjXpT

5 How URL Shortener Works:
↳ https://t.co/tGndgdhH0V

6 How WhatsApp Works:
↳ https://t.co/VScq8QwHMr

7 How Airbnb Works:
↳ https://t.co/Bi5SAjfv5S

8 How Spotify Works:
↳ https://t.co/BxrH3oHIFS

9 How Slack Works:
↳ https://t.co/eIo29uOQOJ

10 How Reddit Works:
↳ https://t.co/o6Pw2hhj3T

11 How Bluesky Works:
↳ https://t.co/2rLYlRlky0

12 How Tinder Works:
↳ https://t.co/4E1zfgfvlw

13 How Twitter Timeline Works:
↳ https://t.co/pF2RYmPaIG

14 How Uber Finds Nearby Drivers:
↳ https://t.co/kJ2t8dtmch

15 How Pastebin Works:
↳ https://t.co/8NSUNlYM7q

16 How Amazon S3 Works:
↳ https://t.co/iReWAEHwmj

17 How Do Apple AirTags Work:
↳ https://t.co/upWcgsXwKh

18 How LLMs Actually Work:
↳ https://t.co/5lCKxq2g4N

19 How Uber Computes ETA:
↳ https://t.co/hw1hYJqQmj

20 How Real Time Leaderboard Works:
↳ https://t.co/HEChNTOHWb

21 How ChatGPT Apps Work:
↳ https://t.co/BJTYYnAwO1

22 How Nginx Works:
↳ https://t.co/JTeQTJvyrf

23 How ChatGPT Works:
↳ https://t.co/TZYZ3iddYH

24 How Meta Serverless Works:
↳ https://t.co/NSt6jovxu5

25 How YouTube Was Able to Support 2.49 Billion Users With MySQL:
↳ https://t.co/4VDJ5cs6fL

26 How Google Search Works:
↳ https://t.co/jwOaC4bhnv

What else should make this list?

===

👋 PS - Want my System Design Playbook for FREE?

Join my newsletter with 200K+ software engineers now:
→ https://t.co/ByOFTtOihX

===

1 Save & RT to help other software engineers ace system design.
2 Follow @systemdesignone + turn on notifications.

[𝕯𝖊𝖛𝕰𝖓𝖓𝖞 @ennycodes]

Caching (Redis, Memcached)

What is Caching?

Caching is the process of storing frequently accessed data in a temporary storage (cache) so future requests can be served faster. Instead of querying the database every time, the system retrieves data from the cache, reducing response time and server load.

Why Caching is Important

→ Improves application performance.
→ Reduces load on the database.
→ Enhances scalability and user experience.
→ Useful in real-time applications where speed is critical.

Redis

Redis (Remote Dictionary Server) is an open-source, in-memory data store often used as a cache, database, and message broker.
→ Stores data in key-value pairs.
→ Supports complex data structures like lists, sets, and hashes.
→ Provides persistence options (data can be saved to disk).
→ Commonly used in session storage, leaderboards, and pub/sub systems.

Advantages of Redis

→ Very fast (in-memory).
→ Rich data types and features.
→ Persistence support (RDB, AOF).
→ Suitable for real-time analytics.

Memcached

Memcached is a high-performance, in-memory caching system designed for simplicity and speed.
→ Stores data in key-value pairs.
→ Focuses only on caching (no persistence, fewer data structures).
→ Commonly used for caching database queries, HTML fragments, or session data.

Advantages of Memcached

→ Simple and lightweight.
→ Extremely fast read/write operations.
→ Scales horizontally across multiple servers.

Redis vs Memcached

→ Redis: Feature-rich, supports persistence and advanced data types.
→ Memcached: Lightweight, purely focused on caching.
→ Redis: Best for applications needing caching + extra functionality.
→ Memcached: Best for simple caching with minimal overhead.

Real-World Examples

→ Redis: Storing user sessions in large-scale apps like Twitter.
→ Memcached: Caching product details on e-commerce sites for faster page loads.

[Neo Kim @systemdesignone]

If you're just getting started with system design, learn these concepts:

1 System Design Concepts
↳ https://t.co/Jqfyh7YfZn
↳ https://t.co/8ZlHtl7vxU
↳ https://t.co/BlrhLsTXIC

2 The CS Stack 101
↳ https://t.co/qfZnlyCSN5

3 Frontend System Design Concepts
↳ https://t.co/ViPOQrLZzA

4 Microservices Lessons from Netflix
↳ https://t.co/XgS7VQoBFv

5 Modular Monolith Architecture
↳ https://t.co/VVV6v3KGHJ

6 Redis Use Cases
↳ https://t.co/hZ571ruVeA

7 How RPC Actually Works
↳ https://t.co/yeIgcmAxQx

8 How Message Queues Work
↳ https://t.co/bZjdqs8Py2

9 How JWT Works
↳ https://t.co/SZXXrlBsWH

10 How Does HTTPS Work
↳ https://t.co/r5rUtVpw0O

11 How Bloom Filters Work
↳ https://t.co/ntZXq7LxVn

12 How Service Discovery Works
↳ https://t.co/BcL3tgxx1u

13 How Consistent Hashing Works
↳ https://t.co/7d6EipPcKF

14 API Versioning - A Deep Dive
↳ https://t.co/OHAtKSUgVN

15 How Idempotent API Works
↳ https://t.co/afe7ACuSYE

16 Saga Design Pattern
↳ https://t.co/2CffTodOHL

17 How Databases Keep Passwords Securely
↳ https://t.co/KSfIhpAT2j

18 API Design Best Practices
↳ https://t.co/I2ejJ0kbYq

19 How Websockets Work
↳ https://t.co/JfT6mj4mrv

20 Distributed Systems 101
↳ https://t.co/yi0K5K5RIE

What else should make this list?

===

👋 PS - Want my System Design Playbook for FREE?

Join my newsletter with 200K+ software engineers now:
→ https://t.co/ByOFTtOihX

===

1 Save & RT to help other software engineers ace system design.
2 Follow @systemdesignone + turn on notifications.

[Dhanian 🗯️ @e_opore]

If I had to start with backend engineering, I'd learn these concepts:

1. HTTP/HTTPS

2. TCP/IP

3. DNS

4. REST APIs

5. GraphQL

6. gRPC

7. API Design

8. CRUD Operations

9. Authentication

10. Authorization

11. Sessions & Cookies

12. JWT

13. OAuth

14. WebSockets

15. Server-Sent Events

16. Middleware

17. MVC Architecture

18. Layered Architecture

19. Clean Architecture

20. Microservices

21. Monolith

22. Serverless

23. Load Balancing

24. Reverse Proxy

25. Nginx

26. Caching

27. Redis

28. Memcached

29. Database Design

30. SQL

31. NoSQL

32. Indexing

33. Query Optimization

34. Transactions

35. ACID

36. CAP Theorem

37. Replication

38. Sharding

39. Connection Pooling

40. ORM

41. Data Validation

42. Serialization

43. Deserialization

44. Message Queues

45. Pub/Sub

46. Event-Driven Architecture

47. Background Jobs

48. Cron Jobs

49. Rate Limiting

50. Throttling

51. API Gateway

52. Service Discovery

53. Circuit Breaker

54. Retry Logic

55. Timeout

56. Fault Tolerance

57. Logging

58. Monitoring

59. Metrics

60. Tracing

61. Observability

62. Error Handling

63. Debugging

64. Testing

65. Unit Testing

66. Integration Testing

67. End-to-End Testing

68. CI/CD

69. Docker

70. Kubernetes

71. Containerization

72. Deployment Strategies

73. Blue-Green Deployment

74. Canary Releases

75. Feature Flags

76. Secrets Management

77. Environment Variables

78. Encryption

79. HTTPS/TLS

80. Security Best Practices

81. OWASP Top 10

82. Input Sanitization

83. CSRF

84. CORS

85. XSS

86. Data Compression

87. File Upload Handling

88. Streaming

89. CDN Integration

90. Storage Systems

91. Object Storage

92. Data Pipelines

93. ETL

94. Batch Processing

95. Stream Processing

96. Scalability

97. High Availability

98. Performance Optimization

(...and more concepts)

===

👋 PS - Want a detailed breakdown of each concept?

Read right now:

→ Get the Backend Engineering Ebook
Link: https://t.co/GuPlsGm9YF

===

💾 Save this for later & RT to help others learn backend engineering.

👤 Follow @e_opore + turn on notifications.

[Neo Kim @systemdesignone]

If you want to become a world-class software engineer, learn these 19 system design case studies:

1 How Stock Exchange Works:
↳ https://t.co/iFNSX9TM9O

2 How Payment System Works:
↳ https://t.co/ARiLxGR43G

3 How YouTube Works:
↳ https://t.co/kHk3g6jz6t

4 How Google Docs Works:
↳ https://t.co/W57IkAjXpT

5 How Kafka Works:
↳ https://t.co/8rOy9KgCMo

6 How Pastebin Works:
↳ https://t.co/8NSUNlYM7q

7 How WhatsApp Works:
↳ https://t.co/VScq8QwHMr

8 How Airbnb Works:
↳ https://t.co/Bi5SAjfv5S

9 How Spotify Works:
↳ https://t.co/BxrH3oHIFS

10 How Slack Works:
↳ https://t.co/eIo29uOQOJ

11 How Reddit Works:
↳ https://t.co/o6Pw2hhj3T

12 How Google Search Works:
↳ https://t.co/jwOaC4bhnv

13 How Real-Time Leaderboard Works:
↳ https://t.co/HEChNTOHWb

14 How Twitter Works:
↳ https://t.co/pF2RYmPaIG

15 How Uber Computes ETA:
↳ https://t.co/hw1hYJqQmj

16 How Amazon Lambda Works:
↳ https://t.co/lx0BjeSRZt

17 How Amazon S3 Works:
↳ https://t.co/iReWAEHwmj

18 How Do AirTags Work:
↳ https://t.co/upWcgsXwKh

19 How ChatGPT Works:
↳ https://t.co/5lCKxq2g4N

What else should make this list?

——

👋 PS - Want my System Design Playbook (for FREE)?

Join my newsletter with 200K+ software engineers right now:

→ https://t.co/ByOFTtOihX

———

💾 Save this for later & RT to help others become good at system design.

👤 Follow @systemdesignone + turn on notifications.

[Suryansh Tiwari @Suryanshti777]

🚨 Developers: Stop skipping System Design.

I just found a FREE GitHub course that teaches almost everything you need to design systems like Twitter, Netflix, Uber, and WhatsApp.

No fluff. Just pure fundamentals.

Inside the repo you’ll learn:

🌐 Networking Basics
• IP & DNS
• OSI Model
• TCP vs UDP

⚡ System Architecture
• Load Balancing
• Caching
• CDNs
• Proxies
• Scalability & Availability

🗄 Databases
• SQL vs NoSQL
• Replication
• Sharding
• Indexes
• CAP & PACELC theorem

🏗 Modern Architecture
• Microservices vs Monoliths
• Event-Driven Systems
• Message Queues
• API Gateways
• REST, GraphQL, gRPC

🛡 Production Engineering
• Rate Limiting
• Circuit Breakers
• Service Discovery
• Disaster Recovery
• OAuth, TLS, SSO

And the best part…

It also includes real system design case studies:

• URL Shortener
• WhatsApp
• Twitter
• Netflix
• Uber

This is basically a complete roadmap to master System Design.

Repo in comments👇

[Shruti Codes @Shruti_0810]

Everything you need to know for coding interviews in one roadmap.

Coding Interviews
│
├── 1. Data Structures
│ ├── Arrays
│ ├── Strings
│ ├── Hashmaps
│ ├── Linked Lists
│ │ ├── Singly
│ │ └── Doubly
│ ├── Stacks
│ ├── Queues
│ ├── Deques
│ ├── Heaps / Priority Queues
│ ├── Trees
│ │ ├── Binary Tree
│ │ ├── Binary Search Tree
│ │ ├── AVL Tree
│ │ └── Red-Black Tree
│ ├── Tries
│ ├── Segment Trees
│ └── Fenwick Trees
│
├── 2. Core Problem Patterns
│ ├── Two Pointers
│ ├── Sliding Window
│ ├── Binary Search
│ ├── Recursion
│ ├── Backtracking
│ ├── Greedy Algorithms
│ ├── Divide & Conquer
│ └── Sorting
│ ├── Merge Sort
│ ├── Quick Sort
│ └── Heap Sort
│
├── 3. Dynamic Programming
│ ├── Memoization
│ └── Tabulation
│
├── 4. Graph Algorithms
│ ├── BFS
│ ├── DFS
│ ├── Topological Sort
│ ├── Dijkstra
│ ├── Bellman-Ford
│ ├── Floyd-Warshall
│ ├── Kruskal
│ ├── Prim
│ └── Union Find
│
├── 5. Advanced Techniques
│ ├── Bit Manipulation
│ ├── XOR Tricks
│ ├── Prefix Sums
│ ├── Difference Arrays
│ ├── Kadane’s Algorithm
│ ├── KMP
│ ├── Rabin-Karp
│ ├── Z Algorithm
│ └── Manacher’s Algorithm
│
├── 6. Object-Oriented Design
│ ├── SOLID Principles
│ └── Design Patterns
│ ├── Singleton
│ ├── Factory
│ ├── Builder
│ ├── Adapter
│ ├── Observer
│ ├── Strategy
│ └── Visitor
│
├── 7. System Design
│ ├── CAP Theorem
│ ├── Load Balancing
│ ├── Caching (LRU / LFU)
│ ├── SQL vs NoSQL
│ ├── Sharding
│ ├── Replication
│ ├── Message Queues
│ │ ├── Kafka
│ │ └── RabbitMQ
│ ├── Microservices
│ └── API Gateway
│
├── 8. Design Problems
│ ├── URL Shortener
│ ├── Twitter
│ ├── WhatsApp
│ ├── Netflix
│ ├── Google Drive
│ ├── Payment System
│ ├── Notification System
│ └── Live Streaming Platform
│
└── 9. Interview Survival Skills
├── Thinking Out Loud
├── Recovering from Bugs
├── Explaining Tradeoffs
└── Staying Calm Under Pressure

Save this before your next interview.

[SumitM @SumitM_X]

As a developer,

Please slap yourself if you can't explain at least 10 of these :

API Gateway
Load Balancer
Reverse Proxy
Rate Limiting
Throttling
Pagination
Cache stampede
Idempotency
GraphQL
gRPC
Webhooks
JWT
OAuth
Cache invalidation
Composite index
Query optimization
CAP THEOREM
ACID
Sharding
Circuit breaker
Livelock
CSRF
Backpressure
False sharing
mTLS

[Nikki Siapno @NikkiSiapno]

12 System design concepts engineers should know:

1. Load balancing algorithms explained
↳ https://t.co/VCLCKOZzni

2. gRPC clearly explained
↳ https://t.co/QwgTXr1N9z

3. How HTTPS actually works
↳ https://t.co/wc3CQOsmPS

4. Database caching strategies
↳ https://t.co/23QdZATj2o

5. System design quality attributes
↳ https://t.co/v9WJoUPevt

6. Health checks vs heartbeats
↳ https://t.co/r5SalP6CCh

7. CI/CD pipelines
↳ https://t.co/SM2YvhioIX

8. API gateway vs load balancer vs reverse proxy
↳ https://t.co/Tg3EhT60tU

9. Microservices clearly explained
↳ https://t.co/1CpY04nNxb

10. How JWT works
↳ https://t.co/Kuv7DAj6B9

11. Idempotency in API design
↳ https://t.co/2sItwlz1oe

12. API protocols made simple
↳ https://t.co/2CEu4Wnhsv

What else should make the list?
What concepts would you like me to cover?

👋 PS: Get our System Design Handbook FREE when you join our newsletter. Join 30,001+ engineers: https://t.co/8uVCeyVa1w

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♻️ Repost to help other engineers learn system design.
➕ Follow Nikki Siapno + turn on notifications.

[AlgoMaster.io @algomaster_io]

10 Must-Know Graph Algorithms for Coding Interviews:

1. 𝐃𝐅𝐒 (𝐃𝐞𝐩𝐭𝐡-𝐅𝐢𝐫𝐬𝐭 𝐒𝐞𝐚𝐫𝐜𝐡)
2. 𝐁𝐅𝐒 (𝐁𝐫𝐞𝐚𝐝𝐭𝐡-𝐅𝐢𝐫𝐬𝐭 𝐒𝐞𝐚𝐫𝐜𝐡)
3. 𝐓𝐨𝐩𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐒𝐨𝐫𝐭
4. 𝐔𝐧𝐢𝐨𝐧 𝐅𝐢𝐧𝐝 (𝐃𝐢𝐬𝐣𝐨𝐢𝐧𝐭 𝐒𝐞𝐭)
5. 𝐂𝐲𝐜𝐥𝐞 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧
6. 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐞𝐝 𝐂𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬
7. 𝐁𝐢𝐩𝐚𝐫𝐭𝐢𝐭𝐞 𝐂𝐡𝐞𝐜𝐤
8. 𝐅𝐥𝐨𝐨𝐝 𝐅𝐢𝐥𝐥
9. 𝐌𝐢𝐧𝐢𝐦𝐮𝐦 𝐒𝐩𝐚𝐧𝐧𝐢𝐧𝐠 𝐓𝐫𝐞𝐞
10. 𝐒𝐡𝐨𝐫𝐭𝐞𝐬𝐭 𝐏𝐚𝐭𝐡 (Dijkstra)

♻️ Repost to help others in your network

[Alif Hossain @alifcoder]

One of the BEST channels for System Design:

https://t.co/YHvXMkJ3C5

1. API Design
https://t.co/zLtjgOAeiX

2. Sharding
https://t.co/rQYx5o2de3

3. Caching
https://t.co/SDlYHR1I7e

4. Concurrency
https://t.co/SLp1Ph7dP5

5. Data Modeling
https://t.co/jrJXmTRxSE

6. Rate Limitter
https://t.co/jrJXmTRxSE

[AlgoMaster.io @algomaster_io]

15 must-know patterns for coding interviews:

1. Prefix Sum
2. Two Pointers
3. Sliding Window
4. Fast & Slow Pointers
5. LinkedList In-place Reversal
6. Monotonic Stack
7. Top ‘K’ Elements
8. Overlapping Intervals
9. Modified Binary Search
10. Tree Traversal
11. Depth-First Search (DFS)
12. Breadth-First Search (BFS)
13. Matrix Traversal
14. Backtracking
15. Dynamic Programming Patterns

♻️ Repost to help others master coding interviews

[theendeavorpath @theendeavorpath]

How to Restart.

(Life Again):

[Krishna Agrawal @Krishnasagrawal]

Most people use LLMs.
Very few actually understand how they work under the hood.

If you want to go from prompt user → real AI engineer, study these 9 concepts in order:

1️⃣ Transformers — attention, tokens, self-attention basics
https://t.co/5YmBhXQrpu

2️⃣ Transformer tricks — what makes them stable & scalable
https://t.co/QFvPbLVuMt

3️⃣ From Transformers → LLMs — how scale changes behavior
https://t.co/1mbXcogTGF

4️⃣ LLM training — where “intelligence” actually emerges
https://t.co/4PnlOTPjbT

5️⃣ Instruction tuning & alignment — why fine-tuning matters
https://t.co/r5XbxsJvpu

6️⃣ LLM reasoning — why models fail + what improves them
https://t.co/0wzxbMtIIk

7️⃣ Agentic LLMs — models that plan, call tools, and act
https://t.co/oG0VaEWqp0

8️⃣ LLM evaluation — measure beyond demos & vibes
https://t.co/nLtvJW4n6W

9️⃣ What’s next — trends that actually matter

Bookmark this. Study step-by-step. Your prompts will level up — and so will your builds.

[Diksha.mittal2 @DMittal2]

#WFH
Are there any #wfh #openings for #Software #Backend #engineers ?
If so, I would appreciate any leads or help with remote opportunities. Thank you! 🙂

#hiring #RemoteWork #remotejobs #backendDevelopment