jeevan chand

student..studying engineering 3rd year....

[jeevan chand @jeevan36]

@ReviewsLady @sunnxt Please review Chennai love story as well !! Thank you

[Cinema Madness 24*7 @CinemaMadness24]

💥💥 20 TICKETS GIVEAWAY 💥💥

#ChennaiLoveStory

- Anywhere in AP & TS
- RT must
- Only for followers
- No DMs
- Comment your preferred theatre, show time and number of tickets needed

#CMGiveaways

[jeevan chand @jeevan36]

@CinemaMadness24 Trendset mall , Vijayawada 10:10 pm or 10:50 pm … 2 tickets please bro

[jeevan chand @jeevan36]

@CinemaMadness24 Trendset mall , Vijayawada 10:10 pm or 10:50 pm

[jeevan chand @jeevan36]

@Kkdtalkies @District_SS Sir retweet and district app download done … Trendset mall Vijayawada tickets ivvandi please.. thank you

[Kakinada Talkies @Kkdtalkies]

చెన్నైలవ్ స్టోరీ.. చూసేందుకు డిస్ట్రిక్ వారిగా నా ఫాలోవర్స్ కు టికెట్లు ఇస్తున్నాను..ఈ ట్వీట్ ని రీ ట్వీట్ చేసి డిస్ట్రిక్ యాప్ ని డౌన్ లోడ్ చేయండి..

Follow : @District_SS
#ChennaiLoveStory ♥️

[jeevan chand @jeevan36]

@DealsDhamaka @RKHYD2024 Link is not working .. shows nothing .. screenshot and the link of the product please .. thank you !!

[jeevan chand @jeevan36]

@devopsshack DevOps

[jeevan chand @jeevan36]

@ThiruShobz Ott ?

[jeevan chand @jeevan36]

@twtayaan Second and third GitHub links are not working .. can you check ?

[jeevan chand @jeevan36]

@Pranj_Sometimes Terraform

[Pranjali @Pranj_Sometimes]

This is a beginner-friendly guide for Terraform.
If you need it, just drop “Terraform” in the comments and I’ll send it to you!

[jeevan chand @jeevan36]

@sauravstwt K8

[jeevan chand @jeevan36]

@dkare1009 Learn claude

[Dhairya @dkare1009]

Learn Claude Code properly, not randomly.

1 playlist. 13 videos. full system.

Most people open Claude Code, try a few prompts, then quit.

Not because it’s hard.
Because there is no structure.

This fixes that.

Here’s the actual roadmap from the playlist:

1. Introduction and setup
2. System setup on your machine
3. Slash commands
4. Making real code changes
5. Context window management
6. Claude.md file

7. Spec-driven development
8. Plan mode and thinking
9. Custom slash commands
10. Skills
11. Subagents
12. GitHub workflows
13. Final usage patterns

This is not random learning.

This is how you move from trying Claude → to actually using it.

What you will actually learn:

→ How to run Claude Code inside your system
→ How to control context instead of losing it
→ How to structure work using plan mode
→ How to use MCP, skills, and subagents properly
→ How to build real AI agents, not prompt chains

✦ This is layered learning
Each video builds on the previous one

If you want the full playlist:

1. Like this post
2. Comment “Learn Claude”
3. Connect with me, I will send it to your DMs

[jeevan chand @jeevan36]

@dkare1009 LINUX

[Dhairya @dkare1009]

Stop wasting hours trying to learn Claude Code.

I’ve already done it for you.

With one list. Zero confusion. And no fluff.

I’ve put together all the resource links to help you get started instantly:

1️⃣ Like & repost
2️⃣ Comment “LINUX”
3️⃣ Follow me so I can DM you the guide

Save this list for later.

Share it with a friend by ♻️ reposting this image..

[jeevan chand @jeevan36]

@ajay_2512x Please share

[jeevan chand @jeevan36]

@dkare1009 NCP

[Dhairya @dkare1009]

If your AI agent can’t use tools properly, you’re building it the wrong way.

I just went through this MCP (Model Context Protocol) guidebook from Daily Dose of Data Science, and it’s not just theory.

It actually shows how modern AI systems should be built.

Here’s what makes this guide worth your time:
1. Clear fundamentals (no fluff)
→ What MCP really is and why it exists
→ The real problem with M × N integrations
→ How MCP simplifies AI + tool communication

2. Architecture that actually makes sense
→ Host, Client, Server explained simply
→ How AI apps connect with tools in a standard way
→ Why MCP acts like a universal connector for AI systems

3. Core building blocks you must understand
→ Tools (actions AI can execute)
→ Resources (data AI can read)
→ Prompts (structured workflows for AI behavior)

4. 11 practical MCP projects (this is the best part)
→ Build a 100% local MCP client
→ Create agentic RAG with fallback to web search
→ Build a financial analyst agent
→ Voice agents, deep research agents, and more
→ Even RAG over videos and audio analysis

This is not just learning.
This is how you start building real AI agents that interact with systems, data, and tools properly.

If you’re:
• AI engineer
• Developer
• Or building AI products
You need to understand MCP.

Because this is where AI systems are heading next.

📌 Save this post for later
🔁 Repost to help others learn
To get it instantly:
1️⃣ Like & Repost
2️⃣ Comment “MCP”
3️⃣ Follow (so I can DM you the guide)