Context Engineering: Why AI Agents Are Moving Beyond Prompts
Learn what context engineering means, why AI agents need memory, and how Anthropic’s “dreaming” approach helps AI systems improve over time.
From a Broken Payment Flow to a Resilient Registration System: What I Learned Building Zeron Academy Payments from Scratch
This article is a walkthrough of what happened when nobody watching, what broke, how I investigated it, how I redesigned the deployment process, why Razorpay became a problem, why I moved to Cashfree, and finally how I built a manual QR fallback so that payment-provider problems can no longer block student registrations.
Closures vs Private in TypeScript: If We Have private and #, Why Do We Still Need Closures?
When TypeScript gets converted to JavaScript, the private keyword is not preserved as a JavaScript runtime privacy mechanism.
AWS Lambda Just Got Faster: What the New Network Bandwidth Increase Means for Developers
A function might need to download a large file from Amazon S3, call another service, process the response, and upload the result somewhere else. In such cases, giving the Lambda more CPU does not necessarily solve the problem if the function is spending most of its execution time waiting for data to move across the network.
Crazy prototypes in JavaScript
Managing prototypes manually feels heavy on your head because you are forced to write fragmented code across different lines, whereas classes let us group everything inside a single, clean block.
Why I should care about a Rate Limiter?
your system need a rate limiter– To prevent the DDoS attacks,– reduce costs,– error handling – it prevents DDoS attachs – distributed denial-of-service attempts.– limits unnecessary strain on computing resources, saving infrastructure spend.– it avoid overloading on our workload – ensures our happy users don’t accidentally or maliciously hog resources and ruin the experience for […]
Mistake we have to AVOID:
“Many engineer think – If my system is highly available, then I have disaster recovery.” Not necessarily. A system can be highly available and still have poor disaster recovery.
Rate Limiting in C# (Part 1): Fixed Window Algorithm Explained with Real-World Edge Cases
Rate limiting is one of the most critical components in backend systems. It protects APIs from abuse, ensures fair usage, and stabilizes systems under load.
Understanding Encapsulation and Abstraction in C#: From Syntax to System Design
When developers start learning object-oriented programming, concepts like encapsulation and abstraction often feel theoretical. But in real-world systems, these ideas are not just academic—they directly influence how maintainable, scalable, and reliable your code becomes.
Fixing Rate Limiting & Stability in a Serverless Next.js Admin Panel
Learn how to implement rate limiting in a Next.js serverless environment, prevent memory leaks, and improve authentication security with a practical approach.