MDT - Personal site

BMI calculator

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Adult BMI is weight in kilograms divided by height in metres squared. It is a population screen, not a diagnosis. It does not know muscle, bone, pregnancy, or where fat sits.

Where you live

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Family and studying

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Sleep pattern check

Mon, 01 Jan 0001 00:00:00 +0000

Think about the last two weeks, not a single bad night. This is a snapshot of pattern, not a sleep-disorder diagnosis.

Friends and history

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Stress load check

Mon, 01 Jan 0001 00:00:00 +0000

Answer for the last two weeks. High scores mean the load is heavy right now. They do not name a condition.

Energy and recovery check

Mon, 01 Jan 0001 00:00:00 +0000

Use this when days feel flat or you cannot tell if you are tired or emptied. It is a self-check, not a clinical scale.

Family and teachers

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Festivals and films

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Visitors and special events

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Daily routine and possessions

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Travel and historic sites

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Shops and the news

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Your country and celebrations

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Work and children

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The internet and films

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Studies and friendship

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Hometown and city life

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Hometown and technology

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Films and TV

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Family and the news

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Music and leaders

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Jobs and people you admire

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Food and a teacher you remember

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Names and holidays

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Hometown visits and gifts

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Hometown and photos

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Home village and phone calls

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Work and history

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Shopping and childhood

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Free time and learning

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Childhood and friends

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Transport and famous people

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Your home and gifts

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Weather and happiness

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Learning English and competitions

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Going out and presents

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Emails and technology at home

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Studying and friends

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Hometown and status symbols

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The seaside and music

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Work and childhood heroes

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Hobbies and shopping centres

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Family and university life

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Your home and reading

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Travel plans and older people

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Work and teamwork

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Sports and saving money

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Languages and jobs

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Hometown and small businesses

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Walking and dream trips

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Emails and photographs

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Sports and sporting events

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History and special people

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Clothes and birthday gifts

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Bicycles and famous people

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Family and the internet

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Games and markets

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Shoes and the countryside

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Fashion and faraway places

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Computer games and rooms

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Reading and grandparents

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Where you live and sports matches

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The internet and presents

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Dictionaries and old friends

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Birthdays and TV series

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Music and city visits

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Computers and daily routines

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The countryside and bad purchases

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Your city and childhood TV

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Sport and new people

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Work clothes and family events

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Free time and world travel

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Health and waiting

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Art and workplaces

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Singing and actors

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Clothes and money

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Weekends and skills

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School and things you want

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Travelling and children

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Music and local shops

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Cooking and hobbies

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Holidays and water

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Favourite places and websites

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Colours and songs

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Your country and fame

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Entertainment and friends

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Magazines and restaurants

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Neighbours and surveys

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Flowers and meetings

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Television and family friends

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Commuting and machines

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Laughing and new ideas

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Cold weather and competitions

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Keeping in contact and parties

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Traffic and games

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Dancing and family

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Instruments and healthy habits

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Friends and choices

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Phone calls and journeys

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Board games and street markets

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Gifts and trying new things

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Bicycles and helping people

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Photos and perfect weather

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Cooking and homes

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Names and documentaries

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Friends and writers

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Reading and hidden places

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Clothes and festivals

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TV shows and starting a business

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Age and new technology

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Money and discussions

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Animals and useful websites

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The future and thoughtful books

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Social media and your home

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Neighbours and difficult tasks

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Your neighbourhood and online shopping

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Emails and hotels

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Languages and consumer society

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Swimming and famous business people

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Spec-Driven AI Development, on a Whiteboard

Fri, 23 Oct 2026 00:30:00 +0330

An agent writes code quickly. It builds what you said, and it misses what you meant.

I drew four short chapters from the Manning mini-ebook Spec-Driven AI Development: From Intent to Trusted Code. The narration is in English, with subtitles. The ideas belong to Hari Krishnan, Leigh Griffin, and Tomasz Lelek and Artur Skowroński.

Watch the Whiteboard Player →

Small Worlds: Interactive Network Science Lab

Tue, 20 Oct 2026 07:00:00 +0330

Friendships, rumors, epidemics, the power grid, financial transactions, and even passes between soccer teammates are all networks. This project traces back to the “Complex & Dynamic Networks” course from my master’s degree—a discipline bridging computer science and statistical physics. What I learned there has been turned into an open, interactive lab.

Inside the lab, you can:

Experiment with live graph simulations—generate six degrees of separation and observe small-world clustering;
Discover why scale-free networks withstand random node failures but quickly collapse under targeted hub attacks;
Explore how misinformation spreads and how epidemic propagation thresholds can be contained;
Explore the “Networks in Your Field” module to see applications across law, auditing, sports, sociology, media, management, and medicine.

All computations run directly in your browser. No sign-up or installation is required, and no data is transmitted externally.

The Only Guide You'll Need for GitHub Spec Kit

Mon, 05 Oct 2026 22:47:00 +0330

Not watched yet. Saved to watch later.

Video from Den Delimarsky.

Building Effective Agents

Mon, 05 Oct 2026 22:24:00 +0330

Not read yet. Saved to read later.

Post by Anthropic.

MCP at the LHC: Coordinating the World's Largest Machine

Mon, 05 Oct 2026 22:22:00 +0330

Not watched yet. Saved to watch later.

Video from Georg Šumailov.

Building AI Agents on the JVM

Mon, 05 Oct 2026 22:20:00 +0330

Not watched yet. Saved to watch later.

Video from Anton Arhipov.

Why Agentic Systems Need Ontologies

Mon, 05 Oct 2026 22:16:00 +0330

Not watched yet. Saved to watch later.

Video from Frank Coyle.

The MCP Abstraction Tax

Mon, 05 Oct 2026 22:14:00 +0330

Not read yet. Saved to read later.

Post by Justin Poehnelt.

OpenClaw

Mon, 05 Oct 2026 22:08:00 +0330

Not read yet. Saved to read later.

From the Thoughtworks Technology Radar.

Hermes Agent Full Course: Build and Sell (2026)

Mon, 05 Oct 2026 00:43:00 +0330

Not watched yet. Saved to watch later.

Video from Samin Yasar.

Code Connect 38 (After Coding — Masoud Beigi)

Mon, 05 Oct 2026 00:36:00 +0330

Not watched yet. Saved to watch later.

Video from Code Connect.

What a Paradise? Understanding Agents

Mon, 05 Oct 2026 00:34:00 +0330

Not watched yet. Saved to watch later.

Video from Jadi Mirmirani.

Everything About AI Agents

Sun, 04 Oct 2026 22:26:00 +0330

Video from Maryam Sadeghi.

Takeaways

AI agent elements: LLM, tools, goal, loop, memory.
Types of memory
- Working memory: the current conversation, like RAM
- Procedural memory: how it should behave. Rules and instructions (skills)
- Semantic memory: stable facts we want the agent to always know
- Episodic memory: a timestamped history of past events and conversations

These memories are stored in a database.

The cost gets high. Distill: summarize and pull out a few important things, then store them in the database.

Liveness is not health

Fri, 11 Sep 2026 17:20:00 +0330

The worst Kubernetes outage I keep seeing is not a node dying. It is a slow database, a liveness probe that talks to that database, and a cluster that then kills every pod that was still doing useful work.

Liveness does not mean “the app is healthy.” It means “this process is so stuck that Kubernetes should shoot it.” If you point that gun at a dependency, you will shoot the fleet.

Spring @Transactional does not mean what you think

Fri, 11 Sep 2026 17:10:00 +0330

In review I still see @Transactional used as a blessing: put it on a method, and the database will behave. It will not. Spring starts a transaction when a proxy intercepts an incoming call. If the call never hits the proxy, you have no transaction, no rollback, and a very confusing production bug.

What I believed → what I do now

I used to sprinkle @Transactional on every service method “to be safe.” I now put it on the one method that is the use-case boundary, I write a test that proves rollback, and I treat same-class private calls as a smell.

Java, Spring, Kubernetes

Fri, 11 Sep 2026 17:00:00 +0330

A map of how I actually run backend software: Java on the JVM, Spring as the application layer, Kubernetes as the place it lives. Start here, then open the note that matches the problem in front of you.

This is not a tutorial index. It is the order I would walk a teammate through after an incident.

If you are new here

Spring @Transactional does not mean what you think — where transactions actually start, and why a method calling another method on this silently does nothing.
Liveness is not health — the Kubernetes outage that looks like a crash loop but started as a slow dependency.
Reliability lessons from SQLite — why a tool that solves more problems than it creates stays in production.

The Java course is the longer path if you want to write this stack with me, not only read about it.

Reliability Lessons From SQLite

Fri, 28 Aug 2026 10:56:00 +0330

Talk from SSW 2026.

Takeaways

SQLite is used so much because it solves more problems than it creates.

Notes

DO-178B Software considerations in Airbone Systems and Equipment Certification

it leads to create Fossil: Better Project Management MC/DC

Example: video note

Fri, 28 Aug 2026 10:00:00 +0330

This is a starter video note. Copy it, or delete it once you add your own.

Use note_type = "video" and put the YouTube URL in source so the video embeds at the top. Headings like 12:40 make timestamped notes easy to scan.

Takeaways

The browser event loop is a queue: JavaScript runs one thing at a time, then picks the next callback.
Rendering and I/O are not the same queue as your JS callbacks.
setTimeout(fn, 0) does not run immediately; it waits until the current stack is clear.

Notes

01:15 — Call stack

JS is single-threaded. Each function call is pushed onto the stack and popped when it returns.

AI agents

Fri, 28 Aug 2026 00:00:00 +0000

How to design agents that use tools, remember just enough context, and do useful work against real systems — not a chatbot demo that falls apart on the second step.

I will call you after you register so we can check background (some programming helps a lot) and pick a schedule.

Who it is for

You have written some code (Python or Java is enough). You have used ChatGPT or similar and want to go past “type a prompt.” You do not need a machine-learning PhD.

Java: beginner to advanced

Fri, 28 Aug 2026 00:00:00 +0000

A practical Java path for people who want to write backend software, not only pass a syntax quiz. There are two tracks. You can start at the beginning, jump to the advanced track if you already write Java, or do both.

I will call you after you register. We pick a track, a schedule, and whether the group is a fit.

Who it is for

Beginner track — you can use a computer comfortably, and you want a first real programming language. No Java required.

Example: book note

Thu, 27 Aug 2026 10:00:00 +0330

This is a starter book note. Copy it, or delete it once you add your own.

Use note_type = "book", creator for the author, and one heading per chapter. Set status to in-progress while you are still reading.

Takeaways

Reliability, scalability, and maintainability are the three reasons we bother with data systems.
There is no single storage engine that is best for every access pattern.
Replication and partitioning are separate problems; most systems need both.

Chapter 1 — Reliable, Scalable, and Maintainable Applications

Reliability means the system keeps working when things go wrong, not only in the happy path.

First Post: AI-Generated Podcast on Scrum

Fri, 17 Jan 2025 16:17:40 +0330

Welcome to my first blog post! In this post, I’ve shared an AI-generated podcast created by NotebookLM exploring the book “The Professional Scrum Team”.

If you’re curious to hear how NotebookLM discusses team dynamics and Scrum principles, you can listen to the podcast below:

The Professional Scrum Team — NotebookLM Podcast

Your browser does not support the audio element.

Download audio file (MP3)

About me

Fri, 17 Jan 2025 16:17:19 +0330

Log in

Mon, 01 Jan 0001 00:00:00 +0000

Prices

Mon, 01 Jan 0001 00:00:00 +0000

US dollars per troy ounce. Gold and silver are snapshots from goldprice.org, captured about once an hour — not a live tick, and not investment advice. The chart shows percent change so both metals fit in one view.