If you’ve been following the recent debates here between Gemini CLI (Gemini 3/Flash) and Claude Code, you probably know: Gemini CLI: Incredible value (free tier/high limits) but feels chaotic on Continue reading Benchmark: I replaced Gemini CLI’s Vector RAG with Context Trees to stop the hallucinations (99% Token Reduction)
In the era of Generative AI and Large Language Models (LLMs), the quality and accessibility of data have become the primary differentiators for enterprise success. However, many organizations remain trapped Continue reading From Data Mesh to AI Excellence: Implementing Decentralized Data Architecture on Google BigQuery
CLI Validation Patterns with Maybe Monads CLI input validation typically scatters error handling across multiple try/except blocks, making the control flow difficult to follow and test. The Maybe monad offers Continue reading CLI Validation Patterns with Maybe Monads
Circles, Parabolas, Ellipses, and Hyperbolas as Conic Sections Circles, parabolas, ellipses, and hyperbolas are curves that appear as cross sections of a cone. When a cone is cut by a Continue reading High School Math with Python: Quadratic Curve
At the end of 2025, a discussion went viral in the Japanese dev community about how “the AI Agent era is actually exhausting.” I felt a profound sense of agreement. Continue reading I Released a Production iOS App Without Reading Code: The Reality of “Vibe Coding”
Hello Developers! 👋 I recently launched Nanobanan Editor, an AI-powered image editing tool focusing on natural language prompts. While building the MVP was fun, I hit a massive roadblock: Performance. Continue reading title: How I Optimized My AI Image App from 3s to 300ms with Next.js & Supabase
I thought adding trees and grass would be easy. I just painted… and nothing appeared on slopes. Day 13 taught me why foliage doesn’t work everywhere by default. This post Continue reading Learning the Foliage Tool in Unreal Engine (Day 13)
There’s something oddly satisfying about watching an AI agent read your messy notes and actually understand them. I stumbled onto this realization after months of living entirely in Cursor. It Continue reading First few days with Codex CLI
NGINX is a high‑performance web server and reverse proxy originally created by Igor Sysoev. It was designed to solve the C10K problem (handling 10,000+ concurrent connections efficiently) and was first Continue reading NGINX — High Performance Web Server for High Traffic
GitHub: https://github.com/bnlucas/cattri Ruby gives us tools like attr_accessor, and Rails builds on this with class_attribute, cattr_accessor, and more—but if you’ve ever wrestled with their inconsistencies around visibility, subclassing, or defaults, Continue reading Cattri: The Ruby DSL for Clean, Scalable Class and Instance Attributes
I built a project called The Million Lines as a social experiment. The concept is simple: 1 million lines of text, stored permanently in Supabase, rendered on an infinite canvas Continue reading I built a permanent text wall with Next.js and Supabase. Users are already fighting.
Shinka Class Overview The Shinka class is a unique skill class that allows base skills to be upgraded modularly with upgrade skills. When an upgrade skill activates, it temporarily overrides Continue reading LivinGrimoire Skill Tree
The data behind AI-generated code quality—and a framework that enforces discipline The Promise vs. Reality AI coding assistants are everywhere. GitHub reports 15 million developers now use Copilot—a 400% increase Continue reading Why Most AI Coding Sessions Fail (And How to Fix It)
In machine learning, data is often represented in vector spaces so that mathematical operations such as combination and scaling are possible. Field: the numbers to compute with Let’s first understand Continue reading What is a Vector Space in Machine Learning? (With Math and Intuition)
At 6 AM this morning, my SaaS was running on AWS. By 10 AM, it was fully migrated to DigitalOcean with zero downtime. The entire migration—infrastructure provisioning, database seeding, SSL Continue reading How Claude Code Helped Me Migrate from AWS to DigitalOcean in 4 Hours (With Live Traffic)
