Auto-aggregated global tech articles · 3,394 posts
The next bottleneck in AI isn't compute. It's high-quality data. 💡 As public web data hits saturation, the most interesting shift in LLM and Agent development is the rise of Agentic Synthetic Data Generation. Instead of relying solely on messy, real-world scrape data: 1️⃣ Autonomous agents run in
Two years ago, "AI" in most products meant a chat window that answered questions. In 2026, it means something that finishes tasks, books the meeting, refunds the order, opens the pull request without a human clicking "send" at every step. This is the shift from chatbot to autonomous coworker, and it
8–9 months ago, I wrote this code. Today, I look at it differently. Coming back to an old project after months of learning, building, and working through internships feels surprisingly different. At the time, this code worked. I was focused on: → Making the feature functional → Getting the payme
OpenMontage กับไอเดียที่ว่า AI ควรหยุดรออนุมัติก่อนเรนเดอร์ โดย Nokka (นก-กา) | 13 กันยายน 2026 บทความนี้เขียนโดย AI (deepseek-v4.1-flash) ผ่าน Hermes Agent ตรวจสอบและเรียบเรียงโดย Nokka มีโปรเจกต์หนึ่งบน GitHub ที่มีคนกดดาวไปแล้ว 57,900 ดวง และ 7,300 ฟอร์ก [1] คำโปรยของมันสั้นและกล้า ระบบผลิ
Hey everyone. This time I'll go through what got me started on this benchmark, and the core of how it's actually built. It started from reading complaints, not from an idea. The same ones kept coming up: numbers a vendor publishes don't match numbers someone else measures, swapping the model that d
I run Kunzum, a one-person studio doing AI search visibility for crypto companies. Before that I spent six years writing crypto content and running marketing for protocols. This post is the argument for why the studio exists, plus the two research findings behind it. Both studies are published with
Back in 2017, I was experimenting with something that was pretty fun for the CSS we had at the time — building icons without using images. Using mainly CSS, :before, :after, borders, shadows and a bit of creativity, I managed to create a set of icons that didn't depend on external image files. The i
I’ve released the first public alpha of the Universal Amount Standard API (UAS): GitHub: https://github.com/payfrit/payfrit-uas UAS is a standalone, dependency-free PHP reference API for representing and calculating monetary amounts without relying on binary floating-point numbers. It also prevents
You can spot it in about three seconds. A product shows up in your feed. Before you've read a single word of copy, you already know how it was built: Inter font, a purple-to-blue gradient in the hero, three rounded cards each with a little icon and two lines of text, a headline that says "Build the
Job boards go stale fast. By the time a weekly digest reaches you, the interesting roles have been open for a month. So let's build the smallest thing that fixes that: a Telegram bot that wakes up, asks one API for everything posted in the last seven days, and sends you the new ones. Sixty lines, n
Hey, dev.to! 👋 I'm Maycon, a Systems Analysis and Development student at UNICID, currently making a career shift: I come from a background in customer service, sales and paid traffic management, and now I'm diving headfirst into programming. Over the past few months I completed 30+ courses and han
Disclosure: I maintain Selvedge, an open-source decision-history tool. This article was prepared with AI assistance from Grok and Codex. The example below is hypothetical and uses plain Markdown; it does not require a particular product. A repository can show what the code does while leaving out wh
A polished AI-generated website can hide an unfinished delivery model. The hard question is not whether a builder can produce a convincing page. It is whether the next person can safely change the real system without reconstructing the original prompt, platform state, and deployment assumptions.
Last month I let AI write 100% of my code for 30 days. The single loudest lesson wasn't "AI is amazing" or "AI is useless." It was one sentence: the thing that writes the code can never be the thing that reviews it. A model grades its own homework and it always passes. So this month I did the obvio
Originally published on robatdasorvi.com The agent had been running for four hours and it was arguing with itself about a file it had already fixed. I watched it open migrations/0014_add_index.sql, read it, decide the index was missing, write the index, run the test, fail, and open the file again.
DeepSeek R1: The Open-Source Reasoning Revolution That Changes Everything The Reasoning Problem Traditional LLMs generate text token by token, left to right. This autoregressive approach works for simple tasks but struggles with complex reasoning, math, and multi-step logic. The core p
Multi-Modal AI: From Text to Vision and Beyond — The Unified Future The Single-Modality Limit For years, AI models were single-modality — text-only, image-only, or audio-only. This created silos: A text model cannot see images An image model cannot hear audio Each modality required se
AI Safety and Alignment: Building Trustworthy Agents That Do Not Fail You The Trust Problem As AI agents become more capable, trustworthiness becomes the critical differentiator. A model that is smart but unreliable is worse than useless — it is dangerous. The Safety Pyramid
Your script calls the GitHub API with a fine-grained personal access token and gets 404 Not Found on a repository you can open in the browser. The URL is right. The repository exists. You will spend the next twenty minutes checking the URL anyway. Stop. With fine-grained tokens, 404 usually means n
"Install Git on Windows" is the query that brings more people to my site than any other. The install pages get the traffic, and then everyone leaves — because installing Git is not the hard part. Knowing what to type in the next ten minutes is. So here are the next ten minutes. Three steps, every c
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![[Release] Universal Amount Standard API 0.0.2 — Exact Amounts, Correct Currency Formatting, and User-Selected Currency Display](/storage/uploads/covers/2026/09/f28e5fc6-9eb1-4623-b842-7f6dc63ce5e0.webp)
