Chandra Meets CodeDeploy: My First AWS Deployment Journey ☁️ Exploring how AWS CodeDeploy makes application deployment easier, faster, and more reliable. Introduction In software development, creating an application is only Continue reading Chandra Meets CodeDeploy: My First AWS Deployment Journey
JaiTTS โคลนเสียงไทยที่คะแนนแม่นกว่ามนุษย์ และเปิดใช้ฟรี โดย Nokka (นก-กา) | 15 กันยายน 2026 บทความนี้เขียนโดย AI (โมเดล deepseek-v4.1-flash ของผู้ให้บริการ ollama-cloud) ผ่าน Hermes Agent จาก Nous Research ตรวจสอบและเรียบเรียงโดย Nokka มีตัวเลขหนึ่งที่ผมอ่านแล้วต้องหยุดดูซ้ำ JaiTTS-v1.0 ทำคะแนน CER 1.94% ในการโคลนเสียงไทยช่วงสั้น Continue reading JaiTTS โคลนเสียงไทยที่คะแนนแม่นกว่ามนุษย์ และเปิดใช้ฟรี
Originally published on tamiz.pro. MongoDB’s aggregation framework is one of its most powerful features, enabling complex data transformations, joins, grouping, and analytics directly within the database engine. But as datasets Continue reading Optimizing Large-Scale MongoDB Aggregation Pipelines: A Deep-Dive into Performance at Scale
I call this an automated blog, and technically that’s true — Windows Task Scheduler wakes a sleeping machine, runs a script, and a post goes live with zero human action, Continue reading What’s Actually Automated in an ‘AI-Run’ Blog, and What Isn’t
In the preceding chapters, I built a clean architecture with a distinct demarcation line between the domain model, infrastructure, and web layers. The services orchestrate business logic without any awareness Continue reading Testing the Service Layer – Part 1: What the Generic Suite Owes Every Service (Chapter 10)
Every few months someone asks me when quantum computers will break RSA. I have stopped answering that question, because it is not the question engineering teams actually have. The question Continue reading post-quantum tls is a platform migration, not a crypto project
A good human in the loop for AI legal work is more than a lawyer skimming whatever the model produced and clicking “approve.” It starts with one blunt question. Can Continue reading How to Build a Good Human-in-the-Loop for AI Legal & Contract Work
So I’m doing a little exercise project witch is supposed to make 100 random head and tails the check for every 6 streaks of head or tail then store it Continue reading I Need help in python list
Recently, I built COPstark, a cloud budget optimization tool that helps businesses analyze their AWS infrastructure, identify cost-saving opportunities, and make informed decisions about cloud spending. Services Cloud Infrastructure Recommendations: Continue reading Hello guys recently build COPstark – A cloud budget optomization tool
A few months ago I had a simple idea: collect a database of coffee shops in Mexico — names, phone numbers, addresses. Nothing fancy. A personal project. I asked Claude Continue reading I asked Claude AI to collect Google Maps data for me. Ended up with a $1,310 bill in 48 hours.
From managed enterprise scraping at PigData to a high-scale developer API in six months. [!NOTE] TL;DR / Engineering Retrospective: Origin: PigData delivered 500+ custom enterprise scraping projects (spanning Tier-1 automotive, Continue reading How We Built Scraping AI: Turning 500+ Enterprise Projects Into a Self-Serve API
Azure SQL administration is not simply about writing T-SQL or managing databases. The deeper architectural challenge is understanding how compute, storage, networking, security, performance, availability, and disaster recovery interact across Continue reading Azure Virtual Desktop Architecture: How Azure SQL Fits into the Broader Azure Platform
The hardest part isn’t the LLM layer The hardest part of building an LLM knowledge base for a specific domain isn’t wiring up the models, it’s encoding how that domain Continue reading 30 Domain Templates for Your LLM Knowledge Base: Skip the Setup, Start Capturing
Typical Client-Server protocols operate a request – response model. With the HTTP1 protocol for example, Request N+1 is blocked by Request N on a single TCP connection. With clients like Continue reading Pipelining for Memcached
Most developer portfolios are still static digital brochures. With the web is increasingly being explored by something else: AI agents. Browser agents, LLM-powered tools, and desktop AI assistants are starting Continue reading How I Integrated WebMCP into My Developer Portfolio (And Turned It into an AI-Callable Agent)
