How Does AI Know What's Inside an Image? Meet Vision Language Models
Learn how Vision-Language Models process images and text, and discover what happens behind the scenes when AI understands visual information.
Latest
How I Reduced AI Coding Agent Token Waste by 70%
AI coding agents often read more code than necessary. When a developer asks a simple question about a function, the agent searches multiple files, opens entire source files, and fills the context window with irrelevant tokens. Usually, with a bigger codebase, it takes a lot of time to execute, consumes
Teaching Your AI Web Design Some Actual Taste
Let me guess. You opened Claude Code, typed "build me a modern landing page," hit enter, and got back something that technically works but somehow looks like every other site you have ever scrolled. Purple to blue gradients. Inter for everything. Little rounded icon tiles floating above every
Introducing dbctx: Compile PostgreSQL Database into LLM-Friendly Context
dbctx compiles a PostgreSQL database into a compact, queryable context file. AI agents and text-to-SQL systems get only the schema, relationships, and field meaning they need, instead of the entire information_schema.
Your AI Assistant Forgets Everything. Memory Layers Fix That
Your agent forgets everything between sessions, and config files only hold the rules you knew to write down in advance. Here's what a memory layer actually does, and what happened when I wired mem0 into Claude Code and let it run on its own.
How to Create Your Own AI Second Brain with Hermes That Works 24/7
Learn how to create and host your own AI second brain with Hermes that remembers, automates tasks, and works for you 24/7.
Cloud Computing Is Just npm install for Infrastructure
Every time you pull in a third-party package instead of writing something yourself, you make a trade: you stop owning the internals, but you're still on the hook for how you use it, what it costs you at scale, and what happens the day it breaks in production.
How Real-Time Speech Translation Works: ASR, Segmentation, and Context
Discover how real-time speech translation uses ASR, segmentation, and AI context to deliver fast, accurate translations during live conversations.
At Last, I clasp: Escaping the G's Apps Script Copy-Paste Gauntlet
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. Hey. Come sit down. I need
Perfectly Hitting the Wrong Target: The Story of an AI Code Review Benchmark
A first-principles critique of the AI Code Review Bench methodology, arguing that AI code review has split into two distinct problems — human comprehension and machine verification — that no single benchmark can yet capture.
Manage Finance Like a Codebase
As developers, we trust Git with our code, our configs, even our notes, but never our money. Here's what happened when I found a tool that treats your finances exactly like a codebase: plain text, versioned, and diffable
Building Neural Networks from Scratch in PyTorch: Learn How Training Actually Works
Learn how neural networks work in PyTorch by building one from scratch.
painlessmesh
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
javascript
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'
AI
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.
AI
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.
mcp
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.
AI
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.
nomad
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.
AI
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.
python
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
AI
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.
AI
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.
design
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.