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.
Shrijith Venkatramana
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.
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.
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.
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.
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.
causation
Deeper Data-Science with DoWhy: Causal Modeling in Python
Learn how causal inference with DoWhy goes beyond prediction to answer 'what if we intervene?' questions. This tutorial uses a student attendance example to demonstrate the difference between correlation and causation in data science.
ai
Building a Bayesian Spam Classifier from First Principles
We work through the original Bayesian Spam Classifier paper from Microsoft Research. And then make it practical by applying to the Enron spam dataset
linux
Story of a TCP Packet: An Intuitive Entrypoint To Linux Networking
This post traces a TCP packet’s journey through Linux, explaining interfaces, iptables tables and chains, and the networking stack with an analogy, example, and technical details for engineers.
postgres
Turning PostgreSQL into a Robust Queue for Go Applications
How to build a reliable task queue in Go using PostgreSQL’s built-in features—no extra infrastructure needed.