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.
Latest
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.
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.
mcu
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
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.
sqlite
What Really Happens Before Your Query Runs in SQLite
You think query execution is the main part? Nope. The real work happens before that. In the previous post, you saw how SQLite executes queries as a bytecode program inside a virtual machine. We walked through how SQL gets compiled, how registers hold values, how joins actually run, and why
llm
How AI Systems Self-Correct with LangGraph?
Learn how LangGraph enables AI systems to self-correct and handle complex tasks autonomously.
software engineering
The 7 Pillars of the Installation Experience: Why Your Users Stay or Go
Your code is ready for the world, but is your installation process killing your user adoption before it even starts?
golang
How Go Slices Work Under the Hood: What Makes Them Stand Out from Other Languages
Slices are one of the most commonly used data structures in Go. They appear simple on the surface, but their design is carefully engineered to provide flexibility without sacrificing performance. In this article, we will examine how Go slices work internally and analyze the algorithm that enables them to grow
sqlite
The Hidden Program Behind Every SQL Statement
When you write: SELECT * FROM users; it doesn’t feel like you’re instructing a machine. It feels descriptive. Almost polite. You state what you want, and SQLite handles the rest. But inside the engine, nothing about that query is polite. There is no magical “SELECT” operation. There is no
ai
The future belongs to those who can refute AI, not just generate with AI
In an era of machine-generated conjectures, engineering advantage will belong to those who practice Popper's falsification at scale.
Machine-Learning
Neural Networks Starter Kit: 9 Fundamental Building Blocks for Developers
Learn the essential neural network fundamentals if you’re a developer new to AI and machine learning.
pagespeed
Try These Proven Techniques for Improving Your Webpage Speed
Learn how we boosted FreeDevTools' PageSpeed Insights score to a near-perfect 95. From optimizing TTFB to implementing critical CSS, we'll cover the key strategies that transformed our site's performance.
Go
How to Build a In-Memory Cache in Go Using Generics With TTL
There is a famous saying in computer science: "There are only two hard things in Computer Science: cache invalidation and naming things." — Phil Karlton It is challenging to balance performance (caching aggressively) with accuracy (ensuring users see the latest data immediately). If you cache too much, users see
sqlite
How SQLite Turns Hardware Chaos into Correctness
Databases live in a pretty messy world: crashes happen, writes tear, and nothing is guaranteed. SQLite deals with all of that quietly in the background, and this post takes a look at how.