🌍 TheVerge

Google Home will soon get better at recognizing you

A new update for Google Home could make it less likely your smart home cameras mistake you for someone else, just because you're facing away from the camera. Starting June 23rd, Google's expanding its facial recognition feature so that people you've tagged in your Familiar Faces library can continue to be identified when their faces […]
🌍 TheVerge

The Nex Playground is down to its pre-RAMageddon price during Prime Day

The Nex Playground is the family-centric, Kinect-like game console that made one Verge editor’s kids laugh, cry, and ask for more playtime, even when they were sick. The motion-based game play isn’t perfect, but it has won over plenty of parents — and it’s on sale for $239 at Amazon, down from its current MSRP […]
🌍 Dev.to

I built an open-source crypto trading bot that runs 4 exchanges from one server

GainAlgo is an MIT-licensed crypto trading bot I've been building. The latest update lets it manage four exchanges from a single server and one dashboard : Exchange Futures (USDT-M) Spot Binance ✅ ✅ Bybit ✅ ✅ Upbit — ✅ Bithumb — ✅ That's 2 futures + 4 spot markets, all in one process. Honesty first: it's not a money machine On its own, the bot is roughly break-even. I think of it as tilling the field and standi...
🌍 Dev.to

The SaaS Churn Rate Formula: 3 Calculations That Expose Your Real Runway Risk

This article was originally published at https://saastools.corenk.com/articles/saas-churn-rate-formula You closed the month at $12,750 MRR. But when you opened your dashboard on the 3rd, $890 had quietly walked out the door — six cancellations, one downgrade, and two payment failures that won’t retry. That $890 won’t come back. And next month, the same silent arithmetic starts all over again. If the only number you’re tracking is a rough churn percentage from your billing tool, you are fly...
🌍 Dev.to

Running a LangGraph ReAct Agent in Production: OpenAI-Compatible API + Multi-Model Gateway + One-Line Tracing

Most LangGraph content stops at the notebook. You build a cute ReAct loop, it answers one question, and the article ends before the hard part: how do you actually serve this thing, swap models without a rewrite, and see what it's doing when it misbehaves? This post walks through a small but production-shaped LangGraph deployment: a RAG ReAct agent that exposes an OpenAI-compatible HTTP API , so any OpenAI client (Open WebUI, the openai SDK, LibreChat) can talk to it unchanged, r...
🌍 Dev.to

Partner Pipeline Playbook for AIKit: Turning SEO Articles into Affiliate Revenue

Short answer: AIKit can turn blog traffic into a sales channel by giving every high-intent article a partner-ready path: clear offer, tracked referral link, qualification rules, and a simple follow-up sequence. The goal is not to add random affiliate banners; it is to build a measurable pipeline where SEO readers become partner introductions, demo calls, and revenue. The Problem Most content programs stop at publishing. A team writes a helpful article, waits for search traffic,...
🌍 Dev.to

Running, Voice, and Inspiration: A Thought Precipitation System

I've always felt that you need to set aside time to think. No matter how smart AI gets, someone still has to tell it what's worth thinking about. The truly good ideas still have to come from your own mind. But when you're sitting at your computer, information keeps flooding in. It's rare to have truly quiet time. I've been looking for a way to let those scattered thoughts rise to the surface on their own. Turns out, running does exactly that. Your Brain Is Most Active When Y...
🌍 Dev.to

Five Eyes to Developers: AI-Powered Cyberattacks Are "Months Away, Not Years"

On June 23, 2026, the cybersecurity chiefs of all five Five Eyes nations — the United States, United Kingdom, Canada, Australia, and New Zealand — did something they almost never do together: they put their names on the same statement and told governments and businesses to act now. The message was blunt. Frontier AI models are about to reshape both offensive and defensive cyber operations, and the runway is short: "the timeline is not years, it is months." The three-page statement was published...
🌍 Dev.to

I got tired of bloated, ad-ridden web downloaders. So I built a clean, static alternative.

Let’s be honest: the state of web-based media downloaders and extractors is absolutely abysmal. Whenever you need to quickly grab a test video, an audio file, or an asset from the web for a project, you usually have to navigate a digital minefield. You open a site, dodge three sketchy pop-up ads, close a fake malware warning, and pray you didn't just inadvertently install a browser hijack extension. It’s heavy, it’s bloated, and it’s a terrible user experience. I got tired of waiting fo...
Want AI to work in parallel? First give each one its own workspace
🌍 Dev.to

Want AI to work in parallel? First give each one its own workspace

A while back I wrote about parallelism—taking one big task, splitting it, and fanning it out to several agents at once. But I left a thread hanging: when several agents edit code at the same time, what keeps them from clobbering each other? That's what this post is about. Let me start with the wall I ran into myself. The subagents an AI spins up on its own within a session—those are actually fine; it works out isolation by itself, I don't have to worry much. What burned me was the other kind:...
🌍 Dev.to

Implementing CQRS in Go: A Practical Guide to Scalable Architecture

CQRS is one of those patterns that gets oversold, overcomplicated, and occasionally misdiagnosed as a cure for plain old CRUD boredom. The useful version is much simpler: separate the code that changes state from the code that reads state, then let each side evolve for its own job. Martin Fowler describes CQRS as using a different model to update information than the one used to read it, while also warning that for most systems it adds risky complexity. Microsoft makes the same core point in ...
🌍 Dev.to

Mermaid Diagrams Quickstart and Cheatsheet for Developers

Mermaid is a text-based diagramming tool for people who would rather write diagrams than drag boxes around a canvas. It uses a Markdown-like syntax to describe flowcharts, sequence diagrams, class diagrams, state machines, timelines, Gantt charts, entity relationship diagrams, and more. For a technical blog, Mermaid is a very good default. The diagrams live next to the article, they can be reviewed in Git, and they are easy to update when the system changes. Static image diagrams look nice un...
Evaluating LLM Output Quality In Production
🌍 Dev.to

Evaluating LLM Output Quality In Production

In March 2023, GPT-4 could tell you whether a number was prime with 97.6% accuracy. By June of the same year, the same model name answered those same questions correctly 2.4% of the time. Nobody pushed a bad commit. No prompt changed in your repo. The thing behind the API just... moved. That number comes from a Stanford and Berkeley study, "How is ChatGPT's behavior changing over time?", and it's the cleanest illustration I know of the core problem with LLMs in production: the model is not ...
🌍 Dev.to

I trusted my CLAUDE.md. WordPress.org rejected the exact thing it was supposed to prevent.

My CLAUDE.md had a rule about it. The generated code broke the rule anyway. And the thing that finally caught it wasn't my config file. It was a rejection from the WordPress.org plugin review team. I'd been building plugins with a long CLAUDE.md. Over time I'd folded two whole guides into it: the WordPress Japanese translation style rules I follow, and my own plugin design conventions, including the things you're specifically not supposed to do. It got long. And the longer it got, the safer I...
SEO is Dying? Good. What Comes Next is Better
🌍 HackerNoon

SEO is Dying? Good. What Comes Next is Better

SEO's been broken for years, as ranking well became a game of who had the budget to game DA, backlinks, and distribution. But now LLMs are flipping the script. That's a good thing because RAG pulls straight from live web content, and genuinely unique, high-intent insight can get visibility. For the first time in a while, good original content might have a real shot.
The FIFA World Cup Effect: Does Hosting the Tournament Change Soccer Participation?
🌍 HackerNoon

The FIFA World Cup Effect: Does Hosting the Tournament Change Soccer Participation?

The 2026 FIFA World Cup could drive significant growth in youth soccer across the United States. Previous host countries, including the U.S. (1994), Germany (2006), and Russia (2018), experienced increased participation, stronger demand for local programs, and long-term infrastructure benefits. While the tournament itself lasts only a few weeks, its impact can extend for years. The organizations most likely to benefit are those prepared to convert short-term excitement into sustainable youth soc...
Scaling from Startup to Mid-Market: Building a Professional Database Infrastructure on a Budget
🌍 HackerNoon

Scaling from Startup to Mid-Market: Building a Professional Database Infrastructure on a Budget

As companies grow, database challenges often stem from operational complexity rather than technology limitations. By focusing on environment consistency, version-controlled schema changes, tested recovery processes, automation, and governance, teams can build a scalable and reliable database infrastructure without enterprise-level budgets.
Claude Is Not a Software Engineer
🌍 HackerNoon

Claude Is Not a Software Engineer

LLMs are impressive code generators, but software engineering is a process. For coding agents to become better, they need training data that captures the process, not only the final commit.
Why GPU Access Is Becoming the Real AI Infrastructure Battle
🌍 HackerNoon

Why GPU Access Is Becoming the Real AI Infrastructure Battle

AI demos are easy to launch. The hard part starts when agents need to run continuously, models need to serve real users, and repeated GPU jobs begin consuming time and budget. This article looks at why compute access is becoming a competitive advantage, where decentralized GPU networks fit, and how builders can use Nosana through the Decentralize AI Hackathon.
How Subagents are Built
🌍 HackerNoon

How Subagents are Built

Claude Code glazing aside: a hands-on comparison of subagent primitives across today's top coding harnesses, and why pi.dev's gap might just need one skill to close.
The Fable Shutdown Was a Blunt Instrument. The Real Lesson is Identity
🌍 HackerNoon

The Fable Shutdown Was a Blunt Instrument. The Real Lesson is Identity

Using Anthropic's hypothetical Fable shutdown as a case study, this article argues that the real issue wasn't export policy but the absence of identity verification at the model layer. As AI systems become regulated capabilities, providers will increasingly need KYC-style controls, provenance tracking, and fine-grained authorization. The challenge becomes even harder in agentic systems, where requests may pass through multiple autonomous agents before reaching a model, making delegation chains a...
The Bottleneck Is The Review Process - Not The Code
🌍 HackerNoon

The Bottleneck Is The Review Process - Not The Code

Adding engineers to a late project makes it later because of communication overhead. This problem, called the "cohesion tax," is now accelerated by AI code generators that write plausible but inconsistent code. Instead of trying to make AI understand your standards, the solution is to define and automatically enforce those standards within the development environment itself. This makes the author (human or AI) interchangeable and ensures the system's integrity without relying on human review.