🌍 Dev.to

Django: History and Trends

Django is a Python development classic that has been helping build and maintain web projects of all scales for two decades. But how does this monolith cope with the challenges of modern async and SPA? And why has strict backward compatibility become both its greatest advantage and its main limitation? TL;DR: The Django + DRF stack faces serious limits with typing and async. True async in Django is still not fully fixed, but the ecosystem adapts. Developers use new tools like django-modern...
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เว็บไซต์ที่สวย กับเว็บไซต์ที่ทำเงิน ต่างกันอย่างไร? และทำไม AI ถึงให้คุณได้แค่เพียงอย่างแรก

เว็บไซต์ที่สวย กับเว็บไซต์ที่ทำเงิน ต่างกันอย่างไร? และทำไม AI ถึงให้คุณได้แค่เพียงอย่างแรก โดย Nokka (นก-กา) | อัปเดต 30 มิถุนายน 2026 ในยุคที่ AI สร้างเว็บไซต์ได้ใน 30 วินาที หลายธุรกิจเริ่มตั้งคำถามว่า "เรายังต้องจ้างทีม UX/UI มืออาชีพอยู่ไหม?" คำตอบสั้นๆ คือ: ถ้าคุณต้องการแค่ "นามบัตรออนไลน์" AI คือคำตอบครับ แต่ถ้าคุณต้องการ "เครื่องจักรทำเงิน" AI เป็นเพียงจุดเริ่มต้นเท่านั้น บทความนี้จะพาคุณไปดูว่า AI กับมืออาชีพต่างกันตรงไหน พร้อมข้อมูลและเคสจริงจากปี 2026 ⚠️ กับ...
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AI Deep Learning: Explained Simply

Every time someone says "AI," what they usually mean, underneath it all, is deep learning. ChatGPT, Google Photos recognizing your face, Netflix guessing what you'll watch next, self-driving cars reading the road nearly all of it traces back to the same core idea. So it's worth actually understanding what deep learning is, instead of just nodding along when the term comes up. What Deep Learning Actually Means At its simplest, deep learning is a way of teaching computers to learn patterns from ...
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From Scratch to a Million Users — Part 2: What Breaks After Launch

Part 1 was about building the house. Part 2 is about what happens when a thousand people move in, five other builders show up with their own tools, and the inspector starts knocking. Same uncle, same nephew, same chai — longer conversation. Part 0: The Day After Launch 👦 Nephew: Uncle! We launched! Feature folders, RTK Query, skeletons, lazy loading — everything from Part 1. It's beautiful. 👨‍🦳 Uncle: Congratulations. Now tell me — what happens in three months, when yo...
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How "Vibe Coding" Accidentally Turned My EC2 Instance Into a Cryptominer

A few days ago I got an email I did not expect: an abuse report from AWS Trust & Safety, saying my EC2 instance in my personal AWS account had been caught scanning other hosts on the internet. My first thought was the obvious one someone hacked my box. What I actually found was more interesting (and honestly, kind of embarrassing): a single line in a package.json file was all it took. Here's the full story of how it happened, how I tracked it down, and what actually fixed it. The a...
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5 Telegram Bot Patterns Every Python Developer Should Know

5 Telegram Bot Patterns Every Python Developer Should Know After building 50+ bots, these patterns solve 90% of problems. 1. FSM for Multi-Step Flows from aiogram.fsm.state import State , StatesGroup class OrderFlow ( StatesGroup ): product = State () quantity = State () address = State () @dp.message ( Command ( ' order ' )) async def start_order ( message : Message , state : FSMContext ): ...
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You can index every repo in Cursor. It still can't tell you what breaks.

How to tune Cursor's codebase index for a large monorepo or a multi-repo workspace — and the one question no amount of tuning makes it answer. Open a monorepo of any real size in Cursor and the first thing you meet is the indexing bar, and the first thing you learn is that it can take a while. A repository in the tens of thousands of files can sit there for a long time if you point Cursor at the root and walk away. So you do the sensible thing. You read the docs, you write a .cursorig...
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TL;DR — Claude Sonnet 5: a practical guide for production teams

TL;DR — Claude Sonnet 5 is best treated as an agent workflow model. See specs, setup steps, guardrails, examples, and review checks for safer production use today. The gist, in a few bullets: Use it first on bounded workflows where planning, tool use, and review checkpoints matter more than one-shot text generation Recheck token budgets before migration: Anthropic's Platform Docs say the model has a 1M token context window and 128k max output tokens, while the new tokenizer produces a...
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From Python/Pandas to Rust/C++: taking our tick simulation from 140ms to microseconds per window

TL;DR We're a small ML lab building alpha models for a handful of partners. Our market simulation loop — the part that keeps you honest about look-ahead bias — was 900–1300 ms per window in Python/Pandas, which made every experiment a 6–20 hour run. We went pandas → numpy → hand-written Rust + C++ models and landed at 1–5 ms per window on a cheap cloud box (4–40 µs on a high-clock CPU). This is the honest engineering story, and an actual question at the end for anyone who does HFT/MM. ...
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The hidden costs of running Kubernetes yourself (and why teams switch to Kubernetes as a service)

Everyone talks about how powerful Kubernetes is. Nobody talks about how much it costs to run it yourself. It costs you in money as well as in time, in people, in failed weekends, and in engineering hours that could have gone toward building your actual product. If your team is managing its own Kubernetes cluster, this article is for you. Because the sticker price of self-managed K8s is almost never the full picture. Which part of Kubernetes cost nobody puts in the budget When teams decide t...
🌍 Lobsters

Which GitHub features are needed in a code forge before you can migrate?

Which GitHub features would you consider a blocker for migrating to a different code forge, and in what order do you prioritize them? Context: I am heads down building a code forge ( https://juju.bi ) based on three ideas: Code collaboration part should work offline Should be compatible with GitHub API (like how some services are considered S3 compatible) Support change-id based features (ex: Jujutsu's evolog) I shipped a super-early version that I am currently dogfooding. h...
🌍 Lobsters

Who's hiring? Q3 2026

Please, use the template: **Company website:** WWW **Position(s):** ABC **Location:** XXX (include whether REMOTE worldwide/US/EU/etc. or ONSITE) **Description:** XYZ **Tech stack:** ABC **Compensation:** XXX (salary, equity, vacation, major benefits) **Contacts:** WWW
HackerNews

Single header Parser Combinators for C

Article URL: https://github.com/steve-chavez/CParseC Comments URL: https://news.ycombinator.com/item?id=48742049 Points: 44 # Comments: 6
HackerNews

Asahi Linux 7.1 Progress Report

Article URL: https://asahilinux.org/2026/06/progress-report-7-1/ Comments URL: https://news.ycombinator.com/item?id=48744518 Points: 157 # Comments: 29
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How QBitFlow's On-Chain Referral Program Works. Earn 20% of Our Fee, Enforced by Smart Contract.

We put our referral program on-chain — here's why, and how it works Almost every referral or affiliate program is, underneath, an IOU. You refer someone. A dashboard tells you you're owed something. And then payment happens if the company's accounting agrees, when their payout schedule comes around, on terms they can change. You're trusting the same discretionary, custodial machinery that crypto was supposed to make unnecessary. When we built QBitFlow's referral program, that contr...
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🚀 Never Write a README.md from Scratch Again — Meet readmeai

Every developer has been there. You finally finish that side project, push it to GitHub, open the repo and the README.md is just # project-name . You tell yourself you'll fix it tomorrow. Tomorrow becomes next week. The repo quietly gathers dust. The excuse is always the same: writing a good README is harder than it looks. You need a hero description, install instructions, usage examples, badges, a contributing guide, a license section and you have to make it not look like a templated ghost wr...
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What's Your Tech Journey? Every Developer Has a Story Worth Telling

One of the things I love most about the tech community is that there isn't a single path to becoming a developer. Some people wrote their first lines of code when they were 10 years old. Others discovered programming in college. Some switched careers after years in a completely different field. Many are self-taught, learning through documentation, open-source projects, YouTube videos, blogs, and countless hours of trial and error. And that's exactly what makes this community so special. ...
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Your agents keep making the same mistakes. Nobody has time to fix it.

Your agents keep making the same mistakes. Nobody has time to fix it. AI coding agents are getting better at the tasks you give them direct feedback on. Everything else stays broken. You leave the same comment in code review three sprints in a row. There's a recurring task that could run as an automation but it's on the backlog because no one has time to stop and systematize it. The context your agents need to do better work — updated conventions, patterns from past PRs, recurring fixes — ...
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I Built a Text Encryption Tool Because Sometimes Plain Text Shouldn't Stay Plain

It Started With a Simple Thought Sometimes we share things that aren't meant for everyone. Not huge secrets. Just things like: API keys Notes IDs Tokens Small messages Test data And sending them as plain text never felt right. Then I Realized Something Most people hear the word: Encryption And immediately think: "That's too technical." Honestly... I used to think the same. Why I Built This Tool So I built some...
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Building a 2D Physics Engine From Scratch: SAT Collision Detection in C++ and SDL2

I wanted to actually understand collision detection — not "call the library function," but understand it well enough to write it myself. So I built a small 2D physics engine in C++ and SDL2, no external physics library, and picked the Separating Axis Theorem (SAT) as the core algorithm. Here's how it works, and the gotchas I ran into turning "shapes are touching" into "shapes bounce correctly." Why not just bounding circles? Circle-vs-circle collision is one line: compare the distance b...
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2+ Years as a .NET Developer in Chennai — What I Learned the Hard Way

Originally published at imrantech.hashnode.dev I Thought I Was Ready. I Wasn't. When I got my first job as a .NET developer, I genuinely believed college had prepared me well. I knew C#. I understood databases. I had built a few small projects. I was ready. Two weeks into the job, I realized I knew almost nothing about real software development. This is an honest account of 2 years building production systems — what broke, what I fixed, and what I wish someone had told ...