Mohsin Zaheer

Software Engineer | Node JS | React | Typescript | GEN AI

[Neo Kim @systemdesignone]

How to become a 10x software engineer (in 2026).

Read these 10 books:

[Mohsin Zaheer @mohsin_xaheer]

@CodeCrafters11 Meeed

[Mohsin Zaheer @mohsin_xaheer]

@systemdesignone Why did I choose this field?

[Mohsin Zaheer @mohsin_xaheer]

@neerajjj6785 No clients

[Mohsin Zaheer @mohsin_xaheer]

@Lawalsegun_ Hi

[Mohsin Zaheer @mohsin_xaheer]

@RemotejobWtessy Interested

[Mohsin Zaheer @mohsin_xaheer]

@adahstwt Yeah for the interviews technical rounds.

[Vaishnavi @_vmlops]

MICROSOFT OPEN-SOURCED THE COMPLETE MCP PLAYBOOK

Every ai engineer needs to understand model context protocol in 2026

Microsoft built a full open-source course so you don't have to figure it out the hard way

here's what's inside:

▫️ 11 modules from zero to production
▫️ hands-on labs in python, typescript, java, rust, c# and javascript
▫️ covers mcp servers, clients, security, oauth2, azure integration
▫️ a 13-lab capstone with real postgresql + vector search
▫️ works with claude desktop, cursor, vs code and more
▫️ 16k stars. 5.3k forks. built by microsoft.

the curriculum even teaches adversarial multi-agent reasoning two agents debate using shared mcp tools, judged by a third agent.

if you're building with ai agents in 2026, mcp is the layer that connects everything. this is the fastest way in

https://t.co/jZlCZE8VkX

[Austin @IamAroke]

In whatever field you are, pls don't be a mediocre.

Put in the time and effort.

Be outstanding.

[Mohsin Zaheer @mohsin_xaheer]

@arpit_bhayani But what if we over engineer it just for the sake of learning?

[Mohsin Zaheer @mohsin_xaheer]

@SumitM_X No 4

[Akshay 🚀 @akshay_pachaar]

8 RAG architectures for AI Engineers:

(explained with usage)

1) Naive RAG
- Retrieves documents purely based on vector similarity between the query embedding and stored embeddings.
- Works best for simple, fact-based queries where direct semantic matching suffices.

2) Multimodal RAG
- Handles multiple data types (text, images, audio, etc.) by embedding and retrieving across modalities.
- Ideal for cross-modal retrieval tasks like answering a text query with both text and image context.

3) HyDE (Hypothetical Document Embeddings)
- Queries are not semantically similar to documents.
- This technique generates a hypothetical answer document from the query before retrieval.
- Uses this generated document’s embedding to find more relevant real documents.

4) Corrective RAG
- Validates retrieved results by comparing them against trusted sources (e.g., web search).
- Ensures up-to-date and accurate information, filtering or correcting retrieved content before passing to the LLM.

5) Graph RAG
- Converts retrieved content into a knowledge graph to capture relationships and entities.
- Enhances reasoning by providing structured context alongside raw text to the LLM.

6) Hybrid RAG
- Combines dense vector retrieval with graph-based retrieval in a single pipeline.
- Useful when the task requires both unstructured text and structured relational data for richer answers.

7) Adaptive RAG
- Dynamically decides if a query requires a simple direct retrieval or a multi-step reasoning chain.
- Breaks complex queries into smaller sub-queries for better coverage and accuracy.

8) Agentic RAG
- Uses AI agents with planning, reasoning (ReAct, CoT), and memory to orchestrate retrieval from multiple sources.
- Best suited for complex workflows that require tool use, external APIs, or combining multiple RAG techniques.

👉 Over to you: Which RAG architecture do you use the most?
_____
Share this with your network if you found this insightful ♻️

Find me → @akshay_pachaar ✔️
For more insights and tutorials on LLMs, AI Agents, and Machine Learning!

[Mohsin Zaheer @mohsin_xaheer]

Really? Instead of being ashamed of the lack of sportsmanship,you are calling it brilliant from your official handle.

[Bangladesh Cricket @BCBtigers]

Crucial moment! Mehidy Hasan Miraz removes Salman Agha with a brilliant run-out. ⚡🏏

#BCB #Cricket #Bangladesh #Pakistan #ODI

[Mohsin Zaheer @mohsin_xaheer]

WTF, they are using AI for targets identification in War

[Robert Wright @robertwrighter]

Anthropic's Claude helped select hundreds of targets for the opening wave of Iran strikes. There's a good chance that one of them was the elementary school where more than 100 girls died. My latest @NonzeroNews piece. https://t.co/d2uv9HANhS

[Mohsin Zaheer @mohsin_xaheer]

@AlfinCodes Who the AI Engineer actually is?

[Mohsin Zaheer @mohsin_xaheer]

@KhawajaMAsif ابو (امریکہ) کا نام کیوں نہیں لیتے؟

[Mohsin Zaheer @mohsin_xaheer]

@S_N_SH_E_ https://t.co/wkOoaOIbsK

[Mohsin Zaheer @mohsin_xaheer]

@HaiderS21645170 @iramizraja Because Pakistani players played vs England without fasting......😭

[Ashok Sahoo @ashoKumar89]

Access Token vs Refresh Token - The Complete Guide

Why Use Refresh Tokens? Refresh tokens solve a critical security problem: keeping users logged in without exposing long-lived credentials. Instead of sending long-lived access tokens with every API request (risky!), we use short-lived access tokens for API calls and refresh tokens (stored securely) to get new access tokens when needed. This minimizes damage if tokens are compromised.

Access Tokens:
- Short-lived (15-30 mins typical)
- Contains user permissions & scope
- Sent with every API request
- Bearer token in Authorization header
- Revoked on logout/password change

Refresh Tokens:
- Long-lived (7-30 days)
- Stored securely on client-side
- Only used to get new access tokens
- Sent to token refresh endpoint
- Can be revoked server-side

Flow:
- User logs in → Get both tokens
- Access token expires → Use refresh token
- Get new access token → Continue API calls
- Refresh token expires → Re-login required

Security Tips:
• Store refresh tokens in httpOnly cookies
• Use rotating refresh tokens
• Implement token revocation
• Set proper expiration times
• Monitor for suspicious activity

[Mohsin Zaheer @mohsin_xaheer]

@realshoaibmalik You yourself did the same in the past. This sort of criticism is meant for greats like Inzamam or Saeed Anwar, not others.