CreoWis Technologies

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CreoWis Technologies

CreoWis Technologies

@creowistech

Elevating Ideas with Creative Wisdom

Global Katılım Ekim 2023
10 Takip Edilen165 Takipçiler
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CreoWis Technologies
CreoWis Technologies@creowistech·
We are hiring a Python Developer (3–5 years experience). Looking for someone who can solve real problems. Interested? DM us.
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Swapna Kumar Panda
Swapna Kumar Panda@swapnakpanda·
Become a world-class Backend Engineer once you finish watching these courses:
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Neo Kim
Neo Kim@systemdesignone·
If you're just getting started with system design, learn these concepts: 1 System Design Concepts ↳ newsletter.systemdesign.one/p/system-desig…newsletter.systemdesign.one/p/system-desig…newsletter.systemdesign.one/p/system-desig… 2 The CS Stack 101 ↳ newsletter.systemdesign.one/p/computer-sci… 3 Frontend System Design Concepts ↳ newsletter.systemdesign.one/p/frontend-sys… 4 Microservices Lessons from Netflix ↳ newsletter.systemdesign.one/p/netflix-micr… 5 Modular Monolith Architecture ↳ newsletter.systemdesign.one/p/modular-mono… 6 Redis Use Cases ↳ newsletter.systemdesign.one/p/redis-use-ca… 7 How RPC Actually Works ↳ newsletter.systemdesign.one/p/how-rpc-works 8 How Message Queues Work ↳ newsletter.systemdesign.one/p/what-is-a-me… 9 How JWT Works ↳ newsletter.systemdesign.one/p/how-jwt-works 10 How Does HTTPS Work ↳ newsletter.systemdesign.one/p/how-does-htt… 11 How Bloom Filters Work ↳ systemdesign.one/bloom-filters-… 12 How Service Discovery Works ↳ systemdesign.one/what-is-servic… 13 How Consistent Hashing Works ↳ systemdesign.one/consistent-has… 14 API Versioning - A Deep Dive ↳ newsletter.systemdesign.one/p/api-versioni… 15 How Idempotent API Works ↳ newsletter.systemdesign.one/p/idempotent-a… 16 Saga Design Pattern ↳ newsletter.systemdesign.one/p/saga-design-… 17 How Databases Keep Passwords Securely ↳ newsletter.systemdesign.one/p/how-to-store… 18 API Design Best Practices ↳ newsletter.systemdesign.one/p/best-practic… 19 How Websockets Work ↳ newsletter.systemdesign.one/p/how-do-webso… 20 Distributed Systems 101 ↳ newsletter.systemdesign.one/p/distributed-… What else should make this list? === 👋 PS - Want my System Design Playbook for FREE? Join my newsletter with 200K+ software engineers now: → newsletter.systemdesign.one/join === 1 Save & RT to help other software engineers ace system design. 2 Follow @systemdesignone + turn on notifications.
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• nanou •
• nanou •@NanouuSymeon·
Good morning Developers! What are you building today?
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Jaydeep
Jaydeep@_jaydeepkarale·
What is JWT actually ??? I've tried my best to summarize it below
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Dhanian 🗯️
Dhanian 🗯️@e_opore·
API Architecture Patterns
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Shefali
Shefali@Shefali__J·
The only way to never fail again is to simply never give up. Good morning, everyone🌞
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Shefali
Shefali@Shefali__J·
If there is no struggle, there is no progress. Good morning, everyone🌞
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Tapas Adhikary | tapaScript
Tapas Adhikary | tapaScript@tapasadhikary·
6 years ago, I developed this app for my daughter to learn basic arithmetic. For a long time, it was under the dust, and no one looked into it. Now, I want to see how vibe coding will help me wrap up lots of dream features on my shelved side projects.
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Sevalla
Sevalla@sevalla_hosting·
How API Gateway works: 1. Client → sends request 2. Gateway → routes to service(s) 3. Services → fetch/process data 4. Gateway → returns response But the gateway does more than routing 👇 - Auth (JWT, OAuth) - Rate limiting - Request validation - Response transformation - Logging & monitoring - Caching 👉 One entry point for everything 👉 Keeps your backend clean & scalable
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• nanou •
• nanou •@NanouuSymeon·
Tools Developers Use to Make Beautiful Code Screenshots 🎨 Ray .so 🎨 Carbon 🎨 Codeimg 🎨 Snappify 🎨 Polacode 🎨 CodeSnap 🎨 CodePNG 🎨 Kod .so
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Tapas Adhikary | tapaScript
Tapas Adhikary | tapaScript@tapasadhikary·
Do you use the numeric separators(_) in JavaScript? 1_000_000_000 vs 1000000000
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Shefali
Shefali@Shefali__J·
JavaScript Tip 💡 You can remove whitespace from both ends of a string using the trim() method.
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Jaydeep
Jaydeep@_jaydeepkarale·
Software Engineers adding Claude Code, Codex & Copilot and other AI tools before starting to code
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Dhanian 🗯️
Dhanian 🗯️@e_opore·
System Design Mastery Roadmap │ ├── 1. Foundations of System Design │ ├── What system design is │ ├── Why scalability matters │ └── How real-world systems work │ ├── 2. Core Engineering Concepts │ ├── Networking basics (HTTP, DNS, TCP/IP) │ ├── Operating system fundamentals │ └── Databases (SQL and NoSQL) │ ├── 3. Key System Design Principles │ ├── Scalability (vertical vs horizontal) │ ├── Reliability and fault tolerance │ ├── Availability and redundancy │ └── Performance and latency │ ├── 4. Distributed Systems Basics │ ├── Data partitioning and sharding │ ├── Replication strategies │ └── Consistency and CAP theorem │ ├── 5. Core Building Blocks │ ├── Load balancers │ ├── Caching systems │ ├── Databases │ ├── Message queues │ └── Content delivery networks │ ├── 6. API and Service Design │ ├── RESTful APIs │ ├── Authentication and authorization │ └── Service-to-service communication │ ├── 7. Scalability Patterns │ ├── Microservices architecture │ ├── Event-driven systems │ └── Asynchronous processing │ ├── 8. Data Management │ ├── Data modeling │ ├── Indexing │ └── Data consistency strategies │ ├── 9. Designing Real Systems │ ├── URL shortener │ ├── Chat application │ ├── File storage system │ └── Social media feed │ ├── 10. System Design Interview Strategy │ ├── Requirement gathering │ ├── High-level architecture │ ├── Deep dives and trade-offs │ └── Bottleneck and failure analysis │ └── 11. Production Readiness ├── Monitoring and logging ├── Security best practices └── Deployment and maintenance Grab the System Design Handbook → codewithdhanian.gumroad.com/l/ntmcf
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Kasif
Kasif@md_kasif_uddin·
What’s the best platform for learning new skills right now?
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Nikki Siapno
Nikki Siapno@NikkiSiapno·
Traditional RAG vs Agentic RAG vs Memory Systems
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Nikki Siapno@NikkiSiapno

MCP vs RAG vs AI Agents To understand modern AI systems, you need to understand how these three pieces fit together. 𝗥𝗔𝗚 = “𝗚𝗶𝘃𝗲 𝘁𝗵𝗲 𝗺𝗼𝗱𝗲𝗹 𝗯𝗲𝘁𝘁𝗲𝗿 𝗮𝗻𝘀𝘄𝗲𝗿𝘀” RAG retrieves relevant data, injects it into the prompt, and generates a grounded response. It’s best when your problem is answering questions using your docs, reducing hallucinations, or showing sources and citations. RAG improves what the model knows, not what it can do. If you’re building with these patterns, here's a great guide on scaling multi-agent RAG systems: lucode.co/multi-agent-ra… 𝗠𝗖𝗣 = “𝗦𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝗶𝘇𝗲𝗱 𝘁𝗼𝗼𝗹 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮 𝗮𝗰𝗰𝗲𝘀𝘀” MCP is a standardized interface between LLMs and external systems like APIs, databases, and apps. Use it when your model needs to query data, call services, or interact with real systems (Slack, GitHub, etc). MCP doesn’t decide actions, it defines how tools are exposed. 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 = “𝗠𝗮𝗸𝗲 𝘁𝗵𝗲 𝗺𝗼𝗱𝗲𝗹 𝘁𝗮𝗸𝗲 𝗮𝗰𝘁𝗶𝗼𝗻” Agents operate in a loop: observe → plan → act → repeat, often using tools and memory. Use them when your problem requires multi-step reasoning, tool usage with verification, or full task execution. Agents start where RAG stops, turning decisions into actions and outcomes. The simple mental model: RAG → knowledge layer MCP → tool layer Agents → execution layer Not every system needs all three explicitly, but complex ones often combine them. If you want to see what this looks like in practice, this guide walks you through building a scalable multi-agent RAG system. Check it out: lucode.co/multi-agent-ra… What else would you add? ♻️ Repost to help others learn AI. 🙏 Thanks to @Oracle for sponsoring this post.

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Neo Kim
Neo Kim@systemdesignone·
If I had to start with system design, I'd learn these concepts: 1 Scalability 2 Availability 3 Reliability 4 Latency 5 Throughput 6 Capacity 7 Client-Server 8 Database 9 SQL vs NoSQL 10 Load Balancing 11 Caching 12 Cache Invalidation 13 CDN 14 DNS 15 API Design 16 REST 17 GraphQL 18 gRPC 19 Authentication 20 Authorization 21 Rate Limiting 22 Fault Tolerance 23 High Availability 24 CAP Theorem 25 Consistency Models 26 Replication 27 Partitioning 28 Sharding 29 Indexing 30 Denormalization 31 ACID 32 BASE 33 Microservices 34 Monolith 35 Event-Driven 36 Message Queue 37 Pub/Sub 38 Sync vs Async 39 Idempotency 40 Backpressure 41 Circuit Breaker 42 Bulkhead 43 Retry Logic 44 Timeout 45 Service Discovery 46 API Gateway 47 Load Shedding 48 Autoscaling 49 Blue-Green 50 Canary Release 51 Feature Flags 52 Observability 53 Logging 54 Metrics 55 Tracing 56 Correlation ID 57 Monitoring 58 Alerting 59 Full-Text Search 60 Time Series 61 Vector DB 62 Materialized View 63 Query Optimization 64 Connection Pooling 65 Cache Stampede 66 Cache Warming 67 CDN Caching 68 Data Compression 69 Serialization 70 Deserialization 71 WebSockets 72 WebRTC 73 CQRS 74 Event Sourcing 75 Service Mesh 76 Sidecar 77 BFF 78 Strangler Pattern 79 LSM Trees 80 B-Trees 81 Merkle Trees 82 Bloom Filter 83 HyperLogLog 84 MapReduce 85 Batch Processing 86 Stream Processing 87 ETL 88 Data Pipeline 89 Data Lake 90 Data Warehouse 91 Secrets Management 92 RBAC 93 SSO 94 Encryption 95 Checksum 96 Erasure Coding 97 Consensus 98 Leader Election (...and 16 more concepts) === 👋 PS - Want a detailed breakdown of each concept? Read right now: → Part 1: newsletter.systemdesign.one/p/system-desig… → Part 2: newsletter.systemdesign.one/p/system-desig… → Part 3: newsletter.systemdesign.one/p/system-desig… === 💾 Save this for later & RT to help others learn system design. 👤 Follow @systemdesignone + turn on notifications.
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Sevalla
Sevalla@sevalla_hosting·
Which one is the best AI for coding?
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CreoWis Technologies
CreoWis Technologies@creowistech·
Fetch → Store → Render Pattern in React 👇🏻 1. When the app first loads, this code runs automatically and calls a function to fetch all the conversations from the backend. 2. Once the data is received, it is passed into setConversations, which stores it in state. 3. As soon as the state updates, React re-renders the UI, so all the conversations become visible on the screen without doing anything manually. Have you used this pattern?
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CreoWis Technologies
CreoWis Technologies@creowistech·
Remote meeting be like: - Am I audible? - Is my screen visible? Agree? 😄
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