DEV Community: Muhammadqodir

Rol asosida huquqlarni (RBAC) to'g'ri loyihalash

Muhammadqodir — Mon, 20 Jul 2026 05:40:29 +0000

Rol va huquqni ajrating — rol nom, huquq esa aniq harakat (salary.view, employees.delete). Rolga bir nechta huquq biriktiriladi. Shunda yangi rol qo'shish kod yozmasdan, faqat bazada amalga oshadi.

Markazlashgan tekshiruv — har controller'da if (role === 'admin') yozish o'rniga, bitta middleware orqali tekshiring:
router.delete('/employees/:id', checkPermission('employees.delete'), handler);

Haqiqiy himoya backendda bo'ladi — frontendda tugma yashirish faqat qulaylik uchun, xavfsizlik emas.

Faqat kerakli huquq bering — ehtiyot sharti deb ortiqcha huquq qo'shmang.
Boshida murakkab tuyulsa ham, loyiha o'sganda aynan shu tuzilma vaqt tejaydi.

❓Sizda huquqlar qanday boshqariladi — oddiy role check bilanmi yoki alohida permission tizimi bilan?

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Backend bilan bitta so'z tufayli yo'qotgan vaqtim

Muhammadqodir — Sun, 19 Jul 2026 05:11:51 +0000

Kofe do'konlari uchun tizimni frontend qismini qilayotgan edim. Ma'lumot kelganda ba'zi joylar bo'sh chiqardi — uzoq vaqt o'z kodimdan xato qidirdim.

Muammo boshqa joyda edi: men price deb kutgan bo'lsam, backend cost deb yuborayotgan edi.

Kichik nom farqi ko'zga tashlanmaydi, xato ham chiqmaydi — faqat ma'lumot yo'q ko'rinadi. Juda kichik xato, lekin shu va shunga o'xshash narsalar ko'p vaqt oladi.

Jamoada ko'pincha eng katta xato texnik emas — kelishuv yo'qligi.
Har loyihada birinchi qadam: ma'lumot nomlarini va umuman loyihani oldindan yozma tarzda kelishib olish kerak.

✍️ Izohga yozing:
❓Siz qaysi kichik narsa ustida ko'p qolib ketgansiz?

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🏢 2 yil ichida 3 ta kompaniyada nima o'rgandim?

Muhammadqodir — Sat, 18 Jul 2026 07:14:38 +0000

2 yil ichida 3 xil joy, 3 xil atmosfera, har biri boshqa dars.

Birinchisi — banklar uchun boshqaruv tizimi (xodimlar, oyliklar, hujjat aylanishi) + support. Bu yerda tushundim: tizim yozish oson, uni ishlab turish qiyinroq.
Ikkinchisi — talabalar uchun ish topish startap platforma va Davlat Aktivlari Agentligi uchun moliyaviy tizim. Startapdan davlat miqyosigacha — talab darajasi butunlay boshqacha ekan.
Uchinchisi — kofe do'konlari uchun startap loyiha. Boshqa birov boshlagan kodni davom ettirdim. Bu yerda o'rgandim: birovning kodi ustiga qurish — noldan yozishdan ko'ra ko'proq sabr talab qiladi.

Xulosa qilganda, kod yozish — ishning bir qismi. Asosiysi, muammoni tushunish va tizimni real hayotda ishlata olish.

❓Sizga qaysi ko'proq o'rgatgan — noldan yozishmi yoki boshqa kod ustiga qurishmi?

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Sotuvda yurib ham, dasturlashni tashlab qo'ymadim...

Muhammadqodir — Fri, 17 Jul 2026 16:51:30 +0000

Ish jarayonida ham loyihalar ustida ishlashda davom etib, yangi texnik bilimlar o'rgandim.

Shu davrda bir firma uchun tizim qurib berdim — xodimlarning ish jarayonini, bajargan ishlarini va oyliklarini hisoblaydigan platforma.

Tizimda har bir xodim roli alohida ruxsat va interfeys bor edi — har kim faqat o'ziga kerakli qismni ko'radi, admin esa umumiy nazoratni.

Bu loyiha menga shuni ko'rsatdi: sotuvda o'rgangan narsa — mijoz muammosini tinglash, uni aniq talabga aylantirish — dasturlashda ham aynan shu tarzda ishlaydi.

Yaxshi kod yozishdan oldin, mijozning muammosini yaxshi tushunish kerak.

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6 oyga yo'q bolib ketdim

Muhammadqodir — Fri, 17 Jul 2026 04:05:26 +0000

Sezgan bo'lsangiz 5-6 oy davomida yo'q bo'lib ketdim. Sababi, dasturlashdan charchagandim. Doim kod, doim ekran — nimadir o'zgarish qilish kerak edi.

Juda introvert bo'lib ketgandim, lekin menga insonlar bilan muloqot yoqardi.

Shu payt qidirib-qidirib sotuv degan kasbni topdim. Buni yana bir foyda jihati, kelajakda mahsulotimni, xizmatimni sota olishim va o'z shaxsiy brendimni qurishda ham, har qanday sohada asosiy narsa bu muomala.

Nutqni ravon qilish, odamlarni tushunish, muomala — hayotda hamma narsa aslida shunga bog'liq.

Bir necha oy shu soha bo'yicha tajribaga to'pladim. Muzokara, mijoz bilan ishlash — bularni ichidan o'rgandim, faqat nazariyani eman.

Endi bu ikkisini birlashtirib olib borishga qaror qildim: dasturlash + sotuv.
Kod yozish bilan bir qatorda, uni qanday taqdim etish, sotishni ham bilish.

Xullas, Come Back to IT!

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Apache Airflow Explained for Beginners

Muhammadqodir — Fri, 05 Jun 2026 00:07:30 +0000

You have a data task. It runs every day. You run it manually.
That works. Until it doesn't.

What is Apache Airflow?

Airflow is an open-source platform to programmatically author, schedule, and monitor workflows.

In simple terms: you write your tasks in Python, tell Airflow when and how to run them — and it handles the rest.

Key concepts:
DAG — Directed Acyclic Graph. Just a fancy word for "a list of tasks with an order."
Task — one unit of work (run a script, move a file, query a database)
Scheduler — runs your DAG on time, every time

A simple DAG looks like this:

from airflow import DAG
from airflow.operators.python import PythonOperator
from datetime import datetime

def extract():
    print("Extracting data...")

with DAG("my_first_dag", start_date=datetime(2024, 1, 1), schedule="@daily"):
    task = PythonOperator(task_id="extract", python_callable=extract)

That's it. Airflow will run this every day automatically.

Why should you care?
→ No more manual runs
→ Visual dashboard to monitor everything
→ Retry failed tasks automatically

If you're starting with data engineering — Airflow is one of the first tools to learn

Transitioning to Data Engineering: My Top 4 Essential Tools So Far

Muhammadqodir — Tue, 02 Jun 2026 06:35:58 +0000

Switching focus from Frontend development to Data Engineering means shifting from building user interfaces to architecting robust data pipelines. It’s a completely different mindset, and the learning curve is exciting!

As I dive deeper into the world of Data, these are the 4 essential tools and concepts that have become the absolute backbone of my daily learning roadmap:

1️⃣ Python (The Swiss Army Knife): Coming from JavaScript/TypeScript, picking up Python has been a breath of fresh air. From writing custom ETL scripts to data manipulation with Pandas, it's the ultimate language for data manipulation.

2️⃣ Advanced SQL (The Core): It's not just about simple SELECT statements anymore. Mastering Window Functions, CTEs (Common Table Expressions), and query optimization is where the real magic happens when interacting with Data Warehouses.

3️⃣ ETL/ELT Pipelines: Understanding how to efficiently Extract, Transform, and Load data without breaking downstream analytics. Moving from UI state management to Data state management is a game-changer.

4️⃣ Cloud Ecosystems & Modern Stack: Exploring how data flows through modern cloud environments and learning how big data tools manage scale.

The transition requires patience, but applying my previous engineering background to these new tools makes the journey incredibly rewarding.

💡 To the Data Engineers in my network: What is the one tool or concept you believe is a "must-have" for someone transitioning into the field today? Drop your advice below!

From Frontend to Data Engineering: Why I Made the Switch?

Muhammadqodir — Mon, 01 Jun 2026 05:55:11 +0000

I started my tech journey in the visual world of Frontend development. Creating interfaces and crafting user experiences was amazing, but over time, I found myself drawn to a different force behind the scenes — Data.

Behind every beautiful UI lies terabytes of data. Managing and structuring that flow is where I saw my next challenge, leading me to transition into Data Engineering.

Here is why this field excites me:
Engineering at Scale: Building reliable Data Pipelines to route and process millions of data points efficiently.

The Foundation of AI: Without a solid Data Engineer, no Advanced AI or Data Science model can succeed. "Bad data in, bad data out" — we build the solid foundation.

New Technical Horizons: Diving deep into the Python ecosystem, complex SQL, and Big Data technologies.

My Frontend background in code architecture and logical thinking has been a huge plus during this transition. Shifting gears isn't easy, but pushing past comfort zones is where the real growth happens!

Have you ever made a career transition in tech? What motivated your switch?

Let's connect and share stories in the comments!