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#1000 #100daysofsolana #2026 #a11y #accountability #achievement #activator #actors #adaptive #adopting #agentdev #agentic

DEVMay 4, 2026 · 12m ago

It Isn't Just The Emdashes — It's The Words: 32 Ways Your Writing Looks Like AI

We all know people use AI to write their texts. And we all know they tend to have a similar feel to them. There is something with those texts that makes them look like other texts. We instinctively feel that there is something about them that just smells AI. But what is it? I asked Claude, ChatGPT, and Gemini to generate a bunch of blog posts, product announcements, and emails on different topics.

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#agenticstandards

#aidiagnostictrust

#angular-roadmap

#architecturecloud

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DEVMay 4, 2026 · 13m ago

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Why most LLM API usage is quietly inefficient

Series: AI Isn’t an Engineering Problem Anymore (Part 2) In the last post, I talked about hitting a usage limit while debugging my robot and realizing how repetitive my own AI usage had become. When we use LLMs, whether through APIs or tools, it feels like every request is new. The inefficiency isn’t from using AI too much. You don’t ask once, you iterate. These are the most interesting ones. Some

#ai#webdev#programming#llm

#career#softwareengineering

DEVMay 4, 2026 · 13m ago

The 8 Million Yen Salary Trap: Is It Actually Enough to Live in Tokyo?

Reaching an annual salary of ¥8,000,000 is often seen as a major milestone for software engineers in Japan in 2026. On paper, it sounds like a ticket to a comfortable, upper-middle-class life in Tokyo. But is 8 million yen a good salary in Tokyo—really? But if you are coming from abroad—or if you've only looked at the "Gross" figure on your offer letter—you might be walking into a "logic bug" that

#career#softwareengineering#salary#japan

#100daysofsolana

DEVMay 4, 2026 · 18m ago

My second Week Playing Around Solana

I'll be honest before I started, I think I expected blockchain data to feel exotic. Like there'd be some kind of ceremony to accessing it. What I got instead was a JSON RPC endpoint. You call it, it talks back. That was the first surprise: how boring the infrastructure felt in the best possible way. It's just a database you can ask questions to. The "public ledger" framing stopped being an abstrac

#100daysofsolana

#ai#programming

DEVMay 4, 2026 · 19m ago

What Machine Learning Actually Is (No Hype)

Series: How Machines Learn: A Complete Guide from Zero to AI Engineer Phase 6: Machine Learning (The Core) You've been hearing "machine learning" for years now. Your phone uses it. Netflix uses it. Your spam filter uses it. Every tech company puts it in their job posts. And yet, if someone asked you right now to explain what machine learning actually is in plain words, you might freeze up a little

#ai#programming#productivity#python

DEVMay 4, 2026 · 21m ago

I Built an AI Photo Manager That Actually Understands Your Images — Here's the Journey

Like many of you, I have thousands of photos spread across devices, cloud drives, and chat histories. Finding that one specific picture from "last summer's beach trip" meant endless scrolling. Folders and filenames don't help when you can't remember when or where you saved something.Morse Code Translator So I built a tool to fix my own problem. It turned into a real product. Upload your photos, an

#ai#saas#nextjs#webdev

#typescript#productivity

DEVMay 4, 2026 · 26m ago

Paste Any AI File Tree Get a Clean Project Instantly (Tree2Zip)

Paste. Fix. Download. — Meet Tree2Zip If you’ve ever copied a file tree from ChatGPT and tried to use it… …you already know the problem. Weird indentation Broken nesting Inline comments in filenames Missing folders What looks like a clean project structure turns into a mess when you actually try to recreate it. So I built Tree2Zip: 👉 Paste any file tree → get a clean, working .zip instantly I k

#typescript#productivity#ai#webdev

DEVMay 4, 2026 · 27m ago

🐳 I Built a Container Dashboard for Your AI Coding Agent — And It's Awesome

The Problem If you're like me, you live in your terminal. You've got Docker containers running for databases, Redis instances for caching, microservices doing their thing — and you're constantly context-switching to check on them. # The old way: docker ps docker logs my-app -n 50 docker stats docker inspect some_container # ... back and forth, breaking your flow Now imagine you're working with

#docker#devops#typescript#productivity