Cloud X Berry
118 posts
Cloud X Berry
@cloud_x_berry
Hey, I’m Sharaniya Building Cloud X Berry Helping you transform your tech career | 70K+ on Instagram | 20M+ views l Trusted by 5K+ students
Katılım Aralık 2025
34 Takip Edilen33 Takipçiler
Complete DSA in 100 days
If you're looking to become Master in DSA This handwritten note will make learning DSA easier.
The handwritten notes include a comprehensive overview of DSA .
You will get:
→ Day to day learning
→ Interview questions
→ Save 300hrs + on Research
→ Complete Roadmap
𝐍𝐨𝐫𝐦𝐚𝐥𝐥𝐲 𝐈𝐭'𝐬 $30 𝐛𝐮𝐭 𝐟𝐨𝐫 𝟐𝟒 𝐡𝐨𝐮𝐫𝐬, 𝐢𝐭'𝐬 𝟏𝟎𝟎% 𝐅𝐑𝐄𝐄!
To get it, just:
1. Like & Reply “DSA“
2. Retweet (much appreciated)
3. Follow me (so that I can DM)
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AI agents are everywhere now, but most can't explain how they work.
Here are the 6 concepts you need to know:
𝟭. 𝗠𝗼𝗱𝗲𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹 (𝗠𝗖𝗣)
A universal standard for connecting AI applications to external data sources and tools. Anthropic calls it "USB-C for AI" - one protocol that transforms the MxN integration problem into M+N.
𝟮. 𝗦𝗸𝗶𝗹𝗹𝘀
Agent skills are portable, modular packages of instructions, scripts, and assets. often contained in a SKILL.md file, that teach AI agents (like Claude Code: google.com/search?q=Claud… or GitHub Copilot: google.com/search?q=GitHu…) specialized capabilities.
Dive deeper into Agent Skills here: weaviate.io/blog/weaviate-…
𝟯. 𝗦𝗶𝗻𝗴𝗹𝗲 𝗔𝗴𝗲𝗻𝘁 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲
One agent handles the full pipeline, deciding when to search, summarize, or generate. In its simplest form, it acts as a router choosing which knowledge source to retrieve from.
𝟰. 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲
Multiple agents coordinated by orchestration frameworks like Langgraph or LlamaIndex. These frameworks act as conductors, managing complexity, errors, and retry cycles across agents.
𝟱. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗥𝗔𝗚
An AI agent-based implementation of RAG that goes beyond simple retrieval. Agents orchestrate components, validate retrieved context, and route queries to specialized knowledge sources for more robust responses.
𝟲. 𝗔𝗴𝗲𝗻𝘁 𝗠𝗲𝗺𝗼𝗿𝘆
Two types: short-term memory in the context window and long-term memory retrieved on demand. Vector databases like Weaviate can serve as long-term memory, storing and retrieving relevant bits of prior interactions.
Get your free copy of the agentic architectures ebook and get hands-on: weaviate.io/ebooks/agentic…
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Docker is Dead
Kubernetes is Dead
Microservices are Dead
REST APIs are Dead
GraphQL is Dead
Serverless is Dead
Monoliths are Dead
RAG is Dead
JWT is Dead
DevOps is Dead
Agile is Dead
CI/CD is Dead
Python is Dying
Java is Dead (again)
...and literally everything else according to YouTubers & bloggers 😂
"Everything is dead, long live everything."
What's the most ridiculous "X is Dead" headline you've seen this year? Drop it below 👇
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I m looking to #connect with builders and learners in tech whatever you re into.
• Frontend
• Backend
• Full-stack
• DevOps
• Leetcode prep
• AI / ML
• Data Science
• Freelancing
• Startups
say hi and connect!
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@jahirsheikh8 Great list try this out :) @thecloudxberry?si=0hM6V3jVPHGvBftq" target="_blank" rel="nofollow noopener">youtube.com/@thecloudxberr…
English
Best YouTube Channels To Become a Better Developer:
1. Software Engineering – ThePrimeagen
2. Career Growth – TechLead
3. System Thinking – ByteByteGo
4. Debugging Skills – Low Level Learning
5. Performance – Fireship
6. Code Quality – ArjanCodes
7. Architecture – Hussein Nasser
8. Engineering Stories – InfoQ
9. Real Dev Work – Coding Garden
10. Interviews – Tech Dummies
11. Dev Mindset – Continuous Delivery
12. Open Source – freeCodeCamp
13. Productivity – DevInsideYou
14. Reality Checks – Theo
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