Building Neural Networks from Scratch in PyTorch: Learn How Training Actually Works

Learn how neural networks work in PyTorch by building one from scratch.

How PainlessMesh Turns Your NodeMCU Into a Network That Heals Itself

You've probably built a project where one NodeMCU talks to your laptop over WiFi and thought this is great. But what if we need 10 sensors across a large building? And that's where the issues appear. In this article, we'll discuss what happens after

What Happens When You Run `npm run dev`

Hello, I'm Maneshwar. I'm building git-lrc, a Micro AI code reviewer that runs on every commit. It is free and source-available on Github. Star git-lrc to help devs discover the project. Do give it a try and share your feedback for improving the project. You'

What's Happening With AI Token Prices, and What It Means for Your Budget

A practical look at why AI token prices can feel both expensive and rapidly cheaper, and how falling inference costs change what customers should expect from AI products.

Does your team use different AI agents? Here’s how to standardize your products.

If your team uses a mix of Cursor, Claude Code, and Copilot, things can get messy fast. In this article, we explain how to set up a system to standardize your products, keep your design system consistent, and ensure every AI agent plays by the exact same rules.

Everyone’s Talking About MCPs: Learn, Test, and Build Your First MCP Server

Learn what MCPs are, how AI tools interact with them, and how to build and test your own MCP server with a hands-on example.

Understanding AI Code Fast: A 60-Second Habit for Institutional Memory

Why teams using AI-generated code still need lightweight verification, and how a 60-second micro-review habit with git-lrc can build institutional memory without reading every line.

Locking Down Nomad: How to Implement ACLs and Secure Your Cluster

Nomad is a flexible workload orchestrator that enables an organization to easily deploy and manage any containerized or legacy application using a single, unified workflow. Nomad can run a diverse workload of Docker, non-containerized, microservice, and batch applications. With powerful features, it becomes very important to secure the Nomad cluster.

A New Method for Stable Software: Micro Code Reviews for the AI Era

Why AI-generated code needs lightweight verification, and how micro code reviews with git-lrc can improve software stability and developer comprehension.

How Python's GIL actually works (and when it bites you)

Hello, I'm Maneshwar. I'm building git-lrc, a Micro AI code reviewer that runs on every commit. It is free and source-available on Github. Star Us to help devs discover the project. Do give it a try and share your feedback for improving the product. I remember

The Subsidy Era Is Over: A Reality Check on AI-Powered Dev Tool Pricing

A reality check on AI-powered dev tool pricing, shrinking subsidies, workload-based costs, and predictable pricing for code review tooling.

Why Agentic Engineering Must Replace Vibe Coding

A critique of vibe coding and a case for agentic engineering built on verification, feedback loops, accountability, and engineering rigor for serious software systems.