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.

Responsible Design: Shaping Large-Scale Consequences by Organizing Agents

A reflection on AI accountability, individual responsibility, and why careful design is the only viable way to shape outcomes in complex agentic systems.

Searching Billions in Seconds: How HNSW Solved the Scale Problem

Discover how HNSW solved the scale problem for Approximate Nearest Neighbor Search by creating a multi-layered graph system that can search through billions of items in milliseconds.

Recurrent Neural Networks (RNNs): 4 Ideas That Explain How They Actually Work

Understand the basics of RNNs, why they are needed, how they build memory, and their limitations.

How Do Smart Devices Perform Multiple Tasks?

Ever wonder how your Alexa, robot vacuum cleaner, and smartwatch seamlessly perform multiple tasks without getting stuck in the middle? How exactly are these devices programmed to handle it all? You came to the right place to understand how it happens under the hood. In this article, we will understand

Git Packfiles from the Ground-Up: What they are and Why they Matter

A friendly, from-scratch walkthrough of how Git packfiles shrink storage and speed up transfer, backed by real outputs and a full reproducible script appendix.