Mahesh

Full-stack dev. Shipping real projects. DSA is bullying me.
Still not outsourcing my code to bots

[Mahesh @whymahesh]

https://t.co/xhUYkANX0C

[Mahesh @whymahesh]

https://t.co/b7Fl47ZiQl

[aditya @adxtyahq]

It’s finally happening.
AI Layoffs just happened 😭😭

[NZ ☄️ @CodeByNZ]

The man is back 🔥🔥 🔥🔥
Meta is releasing something Massive

what is man cooking ?

[Mahesh @whymahesh]

@Alam_YTA @kirat_tw @ansh3839 @HimanshuJasaiw1 W

[Saurabh @_saurabh__xd]

Looking for internship opportunities!

repost appreciated

[Mahesh @whymahesh]

@Kavyashrikr What resources you are following for system design?

[Mahesh @whymahesh]

@OjasSharma276 On campus is joke in my college, cooked fr😭

[Mahesh @whymahesh]

6 test cases passed.
1 test case ruined my mood, my sleep, and my belief in fair systems. ☠️

LeetCode really said:
“You’re right….. but not right enough.”

[Mahesh @whymahesh]

@rrrautela @kunalstwt Sounds great! I’m thinking of starting this playlist as well. Let me know the best way to catch up and make the most out of it for the best learning outcomes.

[Mahesh @whymahesh]

@grok @Shedreamss_ @ezSnippet

[Mahesh @whymahesh]

@kartik_singhhh Hi👋

[Mahesh @whymahesh]

@kartik_singhhh @kirat_tw @rohit_negi9 Good going! How’s the LLD playlist? Would you recommend this?
Btw you are watching cohort 3 right?

[Mahesh @whymahesh]

@Looozzer @striver_79 How it’s going?

Check out this https://t.co/FrFUBNfZXe

Lemme know the best

[Dhanian 🗯️ @e_opore]

If I Had 6–12 Months to Become a Backend Engineer in the AI Era, I’d Do This

Stage 1 — Programming & AI Foundations

Start with strong fundamentals
• Choose one backend language (Java / JavaScript / Python / Go / Rust)
• Syntax, data types, control flow, functions
• OOP and design basics
• How AI supports backend engineers (code review, debugging, testing)
• Using AI responsibly without skipping fundamentals

Stage 2 — How the Backend Works

Understand what happens behind the scenes
• How servers work
• HTTP and request–response lifecycle
• REST APIs fundamentals
• JSON and status codes
• Client–server architecture
• Visualizing backend flows with AI

Stage 3 — Backend Frameworks

Learn one production-grade framework

Java → Spring Boot
JavaScript → Node.js (Express / Fastify)
Python → Django / FastAPI
Go → Gin / Fiber
Rust → Actix-Web / Axum

Learn:
• Routing
• Controllers and services
• Middleware
• Dependency Injection
• Configuration management
• AI-assisted boilerplate generation

Stage 4 — Databases & Data Modeling

Master data storage and access
• SQL (PostgreSQL / MySQL)
• NoSQL (MongoDB / Redis)
• Schema design
• Relationships and constraints
• Indexing
• Transactions
• ORMs and query builders
• AI-assisted query optimization

Stage 5 — Authentication & Security

Build secure backend systems
• Password hashing
• JWT and sessions
• OAuth 2.0 basics
• Role-based access control
• CORS and CSRF
• Rate limiting
• Environment variables and secrets
• AI-assisted security reviews

Stage 6 — Building Real Backend Services

Practice through real APIs
• Authentication service
• User management system
• CRUD-based APIs
• File upload service
• Background job processing
• Logging and error handling
• AI-assisted test generation

Stage 7 — Advanced Backend Engineering

Think beyond CRUD
• Caching with Redis
• Pagination and filtering
• WebSockets and real-time systems
• Message queues (Kafka / RabbitMQ)
• Event-driven architecture
• API versioning
• AI-assisted performance analysis

Stage 8 — System Design & Scalability

Design systems that grow
• Monolith vs microservices
• Load balancing
• Horizontal and vertical scaling
• Database scaling strategies
• Stateless services
• Failure handling
• Using AI to simulate design scenarios

Stage 9 — DevOps & Deployment

Ship reliable backend services
• Linux basics
• Git workflows
• Docker and Docker Compose
• CI/CD pipelines
• Cloud deployment (AWS / GCP / Azure / Render)
• Reverse proxies (Nginx)
• Monitoring and alerting
• AI-assisted infrastructure troubleshooting

Stage 10 — Production-Grade Projects

Build backend systems that feel real
• Scalable REST API
• Authentication and permissions
• Database + caching
• Background workers
• Cloud deployment with CI/CD
• Logs, metrics, and monitoring
• Clear documentation

Stage 11 — Portfolio & Engineering Readiness

Show backend depth, not just features
• 3–5 production-quality backend projects
• API documentation
• Architecture diagrams
• Database schemas
• Load and performance considerations
• Explanation of AI-assisted workflows

Stage 12 — Career & Interview Preparation

Get job-ready as a backend engineer
• Backend interview fundamentals
• System design interviews
• Database and API questions
• Scalability discussions
• Problem-solving practice
• Continuous learning in the AI era

Grab the Backend Engineering Handbook;
Backend Engineering: From Fundamentals to Scalable Systems
https://t.co/t9mqUuRbjx

[Jatin Sharma @Nitaj333]

Noted Taken:

> Be consistent
>Code minimum 3 hours a day
>Find some force which doesn't let u be lazy
>Track ur time and productivity

[Jaydeep @_jaydeepkarale]

7 System Design case studies that will teach you more than an entire CS degree.

[Saleban Olow @saleban1031]

Claude has 200k+ context window but forgets everything the moment you close the session.

I built a plugin that fixes this. one file in your project, claude reads it on start, writes to it as you work.

Next day it actually knows what happened yesterday. you can git commit the file too.

Literally version control claude's brain. #claudecode

I open sourced, here is the code https://t.co/woH3S9QMqc

[Mahesh @whymahesh]

@pankajkumar_dev Bro, I really wanna learn system design that did you learn through the projects by building or have you watched some kind of videos at starting and practiced while building ..if you have watched some videos, please let me know the resources. If Kirat’s c3 lemme know the part pls

[Karthik @karthikponna19]

before asking AI another dumb coding question, watch this