Running LLMs Locally with Ollama: No GPU, No Cloud…

Build, test, and run AI models on your own machine using WSL2 — minimal setup, maximum control

Why OpenRouter makes sense over chatGPT plus plan for most devs

How OpenRouter’s flexibility, model variety, and cost-effectiveness outshine ChatGPT Plus for my AI-driven workflows

Using WSL for AI App Development

Linux is the no brainer choice to develop , test and deploy but many developers, especially freshers and juniors, are more familiar with Windows and may not be comfortable setting up a dual-boot partition or getting a separate Linux machine

How I Built a Reusable Social-Share Web Component with ChatGPT in 17 Minutes

From a rapid 17-minute prototype generated by ChatGPT to 1–1.5 hours of real-world integration, cross-browser and mobile QA, and UX refinements. Real projects demand documentation, code reviews, and stakeholder feedback – often consuming 2–3× the initial coding time.

I Built an AI to Read Resumes For Me. Here’s How You Can, Too.

A step-by-step guide to building your own AI-powered JD-Resume Matcher using Python and open-source tools.

Replacing Junior Devs with GPT-4 Turbo? I Ran the Numbers So You Don’t Have To

I get this question a lot — especially from college students, fresh grads, and junior developers trying to make sense of the current tech chaos. And I get it. With AI tools seemingly writing full apps, generating tests, and even fixing bugs, it’s fair to wonder where humans fit in. I usually tell them this: The industry is changing — faster than ever. But we’re not just replacing coders with machines. We’re shifting from “who can type the fastest” to “who can think the clearest.”

Slow Is Smooth, Smooth Is Fast: A Developer’s Guide to Building Reliable Systems

A battle-tested mindset and checklist to build reliable, observable systems — even with a junior-heavy team and startup urgency

Minimum Viable Security, Part 1: What to Fix Before Your Product Goes Live

A developer-first guide to reducing risk with simple interventions that actually work.

LLMs Struggle with Performance, Cisco Launches Security AI, WSL Goes Open Source, and Microsoft ❤️ Postgres

From AI that fumbles performance to AI that secures your stack - this week's dev highlights span Cisco's security LLM, WSL's open-source leap, and Microsoft's deepening Postgres playbook.

Signals from the Stack

Nmap meets AI, Microsoft picks Go, and SQL gets sharper

AI, Bugs & Best Practices

Exploring AI Tools, Web Security, and Enduring Software Principles

Agile Wins, ARM Savings, Secure Open Source, and Smarter MySQL -All in One Dispatch

In this edition, we are sharing four such picks: an agile habit that actually works, an easy AWS cost saver, a way to spot trustworthy open source tools, and a MySQL tip that might save you hours of tuning. No fluff - just things you can put to use right away.

Not Dead Yet: Why C Still Fights, Rust Isn’t a Sure Thing, and AI Isn’t Magic

A peek under the hood of Cursor AI , a bold C upgrade that could stall Rust, how Curl stays battle-ready without a rewrite, a glimpse into how Claude “thinks,” and the strange new era where code is just another kind of content.

Programming, Production and a Talking Cow

Exploring language trends, Figma’s database scaling, and side-by-side LLM testing — plus the terminal cow you didn’t know you needed

Engineering by Defaults, Design, and Discipline

Git configs that make sense, PostgreSQL architecture made simple and 13 engineering laws that hit too close to home

Bookmark Dispatch

Exploring AI's Realities, Scaling Databases, and Timeless Debugging Wisdom

I Built an AI to Read Resumes For Me. Here’s How You Can, Too.

A step-by-step guide to building your own AI-powered JD-Resume Matcher using Python and open-source tools.

Replacing Junior Devs with GPT-4 Turbo? I Ran the Numbers So You Don’t Have To

I get this question a lot — especially from college students, fresh grads, and junior developers trying to make sense of the current tech chaos. And I get it. With AI tools seemingly writing full apps, generating tests, and even fixing bugs, it’s fair to wonder where humans fit in. I usually tell them this: The industry is changing — faster than ever. But we’re not just replacing coders with machines. We’re shifting from “who can type the fastest” to “who can think the clearest.”

Slow Is Smooth, Smooth Is Fast: A Developer’s Guide to Building Reliable Systems

A battle-tested mindset and checklist to build reliable, observable systems — even with a junior-heavy team and startup urgency

How I Built a Reusable Social-Share Web Component with ChatGPT in 17 Minutes

From a rapid 17-minute prototype generated by ChatGPT to 1–1.5 hours of real-world integration, cross-browser and mobile QA, and UX refinements. Real projects demand documentation, code reviews, and stakeholder feedback – often consuming 2–3× the initial coding time.

Claude 3.7 Sonnet Wrote My AWS Tool in Minutes. ChatGPT 4o Didn’t Even Finish It.

What happens when you give the same coding prompt to ChatGPT 4o and Claude 3.7 Sonnet ? We did exactly that — asked both to build a lightweight AWS Graviton cost comparison tool. The results surprised all of us. One gave me boilerplate code. The other? A polished, working app in minutes

The End of Trial-and-Error Coding: AI Is Reshaping Software Engineering into a Structured Discipline

With all the recent advancements in AI-assisted software development, we frequently get asked where software development is headed by young engineers we speak to at engineering institutions and at businesses we advise. GreyNeuron's take on this is that AI will lead in the green field projects, that most Human Developers will become system integrators, and that AI will pose more challenges for entry level jobs

Designing PostgreSQL Database Using AI: Why You Should Avoid ENUMs & How MySQL Offers More Storage Options

AI-powered tools like ChatGPT, Gemini, and DeepSeek have changed how developers approach database design. Today, teams routinely use AI to generate schemas, validate ideas, and build quick prototypes. But how good are these AI-generated schemas in real-world applications?

Running LLMs Locally with Ollama: No GPU, No Cloud…

Build, test, and run AI models on your own machine using WSL2 — minimal setup, maximum control

Why OpenRouter makes sense over chatGPT plus plan for most devs

How OpenRouter’s flexibility, model variety, and cost-effectiveness outshine ChatGPT Plus for my AI-driven workflows

Using WSL for AI App Development

Linux is the no brainer choice to develop , test and deploy but many developers, especially freshers and juniors, are more familiar with Windows and may not be comfortable setting up a dual-boot partition or getting a separate Linux machine

RAG in the real world : FAQs by new AI Devs

We just wanted a chatbot. Then came RAG, routing logic, and lots of late-night debugging.

Minimum Viable Security, Part 1: What to Fix Before Your Product Goes Live

A developer-first guide to reducing risk with simple interventions that actually work.

Getting Started with Snipe-IT: Open Source Asset Management for SMBs

Before firewalls or fancy tools, start with the basics: know what assets you own.

A Ready-Made NIST-mapped Cybersecurity Stack for SMBs

This is a plug-and-play security stack for the real world — NIST-mapped, open-source powered, and ready to deploy before your next audit.

Slow Is Smooth, Smooth Is Fast: A Developer’s Guide to Building Reliable Systems

A battle-tested mindset and checklist to build reliable, observable systems — even with a junior-heavy team and startup urgency

More Then One Decade In: Why App Servers Are Cattle, but Databases Still Feel Like Pets

From Immutable Containers to High‑Maintenance Data Stores: Why Our App Servers Behave Like Cattle, While Databases Still Get VIP Treatment

Future Of Programming languages 2025

Python has been named TIOBE’s Programming Language of the Year 2024 due to its impressive 9.3% growth, far outpacing Java (+2.3%), JavaScript (+1.4%), and Go (+1.2%).