san

[san @titaniumsandesh]

Enter to win $1M

I just entered the Ferrero World Cup Sweepstakes for a chance to win instant prizes, weekly prizes, and the $1 million grand prize.

You can, too. Enter now! https://t.co/DTwZqVb8Zn

[Vaishnavi @_vmlops]

The only system design repo you really need

https://t.co/wQwFXKzl2i

[0xMarioNawfal @RoundtableSpace]

Microsoft has released a free, open-source course: GitHub Copilot CLI for Beginners.

Includes 8 Chapters covering:

• Walks through of installing Copilot CLI
• Using context
• Creating custom agents
• Working with skills
• Connecting MCP servers, and more.

Start Learning - https://t.co/IIbauw5L7K

[Akshay 🚀 @akshay_pachaar]

Run Claude Code using local LLMs for FREE.

No API costs. No data leaving your machine.

Here's how it works:

Claude Code lets you swap its backend via a single env variable. Point `ANTHROPIC_BASE_URL` to a local llama.cpp server, and it'll route all requests to whatever model you're running locally.

The Unsloth team put together a step-by-step guide for this where you can run Claude code using Qwen3.5

It covers everything from model download to server setup to running Claude Code.

The trick is serving your model on port 8001 via llama-server, then setting two env vars: `ANTHROPIC_BASE_URL` and a dummy `ANTHROPIC_API_KEY`. That's it. Claude Code thinks it's talking to Anthropic's API.

If you don't want to pay per token for every agentic loop and want fast, private, cost-free coding runs, this is exactly what you're looking for.

Link to the guide in the next tweet

[0xMarioNawfal @RoundtableSpace]

SOMEONE CREATED A GITHUB REPO WITH AN ENTIRE SETUP FOR AN AI AGENCY

Engineers, designers, growth marketers, product managers.

Broken down how even a rookie could understand.

It has over 10K stars in 7 days

GitHub: https://t.co/VYdwzJuCtB

[Akhilesh Mishra @livingdevops]

Stop collecting AWS certifications thinking that’s how you learn cloud.

If you are just starting to learn AWS, here are 7 beginner-friendly AWS projects that will teach you more than any shiny certification will.

And you can do it on your own:

Project 1: Static Website on S3

Host a simple site for $0/month plus learn bucket policies, CloudFront integration, and why public buckets are dangerous.

Project 2: EC2 Web Server

Launch an instance and deploy a small app while discovering security groups, SSH keys, and why you need load balancers.

Project 3: File Backup System

Upload and retrieve files in S3 while understanding storage classes, lifecycle policies, and versioning.

Project 4: Simple Database App

Use RDS with a Python/Flask app to learn connection pooling, backup strategies, and why you don’t run databases on EC2.

Project 5: CloudFront Distribution

Speed up your static site with a CDN while learning edge locations, cache invalidation, and origin behaviors.

Project 6: Serverless Function (Lambda)

Trigger a Python function when files are uploaded and discover cold starts, memory limits, and event-driven architecture.

Project 7: Route 53 Domain Setup

Buy a domain and connect it to S3/EC2 while learning DNS records, health checks, and traffic routing.

Each project teaches you one core AWS concept through real implementation, not theory.

You don’t need to learn all 100+ AWS services, you just need 10:

VPC, EC2, RDS, ECS, Lambda, IAM, S3, EKS, Route53, Secrets Manager/KMS

Master these through building, and the rest will make sense when you need them.

[VirtualBacon @virtualbacon]

🚨 Why the OpenClaw AI Narrative is Bigger Than You Think 🚨

OpenClaw has exploded onto the scene and most people think it's 'just another AI tool.'

They're missing the real shift.

I've been using it daily. This changes how automation actually works and why endless crypto memes will spawn from it.

Here's the breakdown ��👇

[Aakash Gupta @aakashgupta]

This is literally everything you need to master Claude Code:

[Alex Veremeyenko @alex_verem]

After 3 years of using Claude, I can say that it is the technology that has revolutionized my life the most, along with the Internet.

So here are 10 prompts that have transformed my day-to-day life and that could do the same for you:

[Miles Deutscher @milesdeutscher]

Alright - here's my most powerful vibe coding prompt ever.

Plug this straight into the new Opus 4.6 model, and you'll literally be able to ship anything.

SEO optimised websites, fully functional Claude apps, personal dashboards - literally anything.

Takes <5 minutes:

[Rishabh @Rixhabh__]

Instead of watching a movie, watch this 30-min masterclass on Claude Code from idea to MVP

[Julian Goldie SEO @JulianGoldieSEO]

N8N FULL COURSE 5 HOURS (Build & Automate Anything)

[Vaishnavi @_vmlops]

Found a solid platform to practice ML the right way

▪️ML fundamentals + research-level topics
▪️Math, Linear Algebra, Optimization
▪️Neural Networks, RL, MLOps
▪️Easy → Hard difficulty levels

No tutorials. Just thinking, coding, and real understanding.

Perfect for anyone serious about ML

Link - https://t.co/l1VkmsQgmh

[Rishabh @Rixhabh__]

Instead of watching a 2-hour movie, watch this Claude FULL COURSE (Build & Automate Anything):

[Goshawk Trades @GoshawkTrades]

https://t.co/qlNPjtWz0z

[Arman Hezarkhani @ArmanHezarkhani]

https://t.co/Mt1PRTZCdT

[𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰 @techwith_ram]

One of the best mathematics books.

You can learn:

- Linear Algebra
- Series
- Logic
- Probability
- Number Theory
- Graphs
These are mostly needed for AI/ML.

PDF: https://t.co/1HrlY13Qmi

[Math Cafe @Riazi_Cafe_en]

"Foundations of Computer Science" by Alfred Aho & Jeffrey Ullman

Chapter PDFs available at: https://t.co/WsNr7nNVTd
1. The Mechanization of Abstraction
2. Iteration, Induction, and Recursion
3. The Running Time of Programs
4. Combinatorics and Probability
5. The Tree Data Model
6. The List Data Model
7. The Set Data Model
8. The Relational Data Model
9. The Graph Data Model
10. Patterns, Automata, and Regular Expressions
11. Recursive Description of Patterns
12. Propositional Logic
13. Using Logic to Design Computer Components
14. Predicate Logic

[Math Cafe @Riazi_Cafe_en]

Mathematical Puzzles
by Peter Winkler

PDF: https://t.co/Ms6m1Yv6Ay

[Dan Kornas @DanKornas]

Algorithms for AI & ML

This 69-page book from Stanford University is now absolutely FREE.

https://t.co/M3YAknVsfj