Can Machines Learn Taste?
🌍 HackerNoon

Can Machines Learn Taste?

Silicon Valley wants to teach AI good taste. But machines may only learn fixed rules, not the context, judgment, and rebellion that move culture forward. 4. TL
In E-Commerce, Slow Decisions Mean Lost Revenue
🌍 HackerNoon

In E-Commerce, Slow Decisions Mean Lost Revenue

E-commerce AI creates more value when it can act on unified inventory, pricing, logistics, and customer data instead of merely producing dashboards.
DHS Wants Protesters’ Signal Group Chats
🌍 Wired

DHS Wants Protesters’ Signal Group Chats

A lawsuit accuses Homeland Security of violating protesters’ free-speech rights—but the agency is using it to try to get access to the plaintiffs’ encrypted communications.
🌍 TheVerge

X product chief Nikita Bier is leaving after one year

X head of product Nikita Bier is stepping down and says he will move into a role as an advisor, writing that "it's time to pass the torch and demote myself to my natural state: a poster." He shared the update just over a month after celebrating his one-year anniversary on the job, and just […]
🌍 TechCrunch

Why Lightspeed is going all-in on creator-led venture capital

Venture firms are turning to creators to build trust with the next generation of founders before a check is ever written. It’s a trend that’s been building with a16z’s acquisition of Erik Torenberg’s Turpentine podcast and OpenAI’s acquisition of TBPN. Lightspeed Venture Partners just made its own notable hire in that vein, bringing on Claire Zau, a seed investor with a major following on Instagram and […]
🌍 Dev.to

Why Frontend Developers Should Care About Brand Identity Systems

We’ve all been there: you get a clean design mockup, fire up VS Code, and start writing components. But halfway through building the layout, you notice inconsistent spacing, random button variants, and color hex codes hardcoded all over the place. As developers, we love systems—reusable components, clean state management, and modular architecture. So why do we treat brand assets like an afterthought? When building Joemetry , I realized that treating a brand identity like a design system ...
🌍 Dev.to

Old MCP listings do die more often — but age is the wrong field to watch

A reader named Valentin asked me a good question in the comments of an earlier post. I had published a table showing that MCP registry listings fail at wildly different rates depending on where they're hosted — Railway 66%, Vercel 8% — and argued you could use that as a prior to order a revalidation queue instead of re-probing all 10,716 entries evenly. His question: do the entries carry submission dates? Because if failure rate also climbs with listing age inside a single platform , that's ...
🌍 Dev.to

I Built a Voice Agent That Switches Languages Mid-Call on Telnyx

Translation apps interpret between two people speaking different languages. Code-switching is different: one caller switches languages mid-conversation and the agent follows them. No interpreter, no restart, no separate vendors — one Telnyx AI Assistant that detects the spoken language on every turn and replies in kind. The Telnyx code example is: https://github.com/team-telnyx/telnyx-code-examples/tree/main/ai-multilingual-code-switching-agent-python It is a Python Flask app with a s...
🌍 Dev.to

How I stopped my coding agents from writing files before I could see the plan

Disclosure up front: I built the tool this article walks through. It's free and Apache-2.0, so my interest is "people find this useful" more than "people pay me." The failure that sent me down this path is probably familiar. I give an agent a multi-step goal: refactor this module, update the README, add tests. Everything goes fine until step 4 — where I discover it misread step 1 back at the start. By then files are written. There's no plan to correct, because the plan lived in the m...
🌍 Dev.to

Architecting reliable geofencing for Android without killing the battery

It happened during a quiet Friday Jumu'ah prayer. The sermon was in full swing, the room was pin-drop silent, and then it started—the aggressive, rhythmic vibrations of a smartphone echoing against the wooden floorboards. Every head in the room turned toward the sound. I felt the heat rise to my face because it was my phone, despite me being the guy who usually prides himself on having a 'smart' setup. I had forgotten to toggle the silent mode after leaving my office, and that simple oversight t...
🌍 Dev.to

Yt-watch-party

I built a real-time YouTube watch party application that allows users to create rooms, watch videos together with synchronized playback, and communicate through real-time chat. Github: https://github.com/DefNotArham/Watchly-yt-watch-party Demo: https://watchly-frontend-188699933348.us-central1.run.app/
🌍 Dev.to

Notion vs Obsidian for Engineering Docs: What Breaks at Team Scale

Both tools are excellent for one person taking notes. The gap only shows up when a team shares the same knowledge base. Short version: Notion scales on collaboration and access control but strains on performance and lock-in; Obsidian scales on speed, ownership, and Git-friendliness but has no native multiplayer and pushes concurrency problems onto your sync layer. Which pain you'd rather manage is the real decision. I've run engineering docs on both — Notion for a ~30-person product org, Obsi...
🌍 Dev.to

My X (Twitter) Weekly Report Bot Showed '0 Followers' for Two Months—The Culprit Was a Non-Existent Account Name in My .env File

Hey everyone, it's your friendly neighborhood old man developer here. I'm 38, dabbling in AI agents and automated trading bots on the side, in between my day job. Today, I want to share a story about one of my self-made bots that's been quietly dead for the past two months. It wasn't a dramatic crash or a visible error; it was far more insidious: it was running "normally" while being completely useless. The cause? An embarrassingly simple mistake. Weekly Reports of '0 Followers' ...
🌍 Dev.to

What I Learned Trying to Make AI-Agent Decisions Testable

What I Learned Trying to Make AI-Agent Decisions Testable AI agents can retrieve the right policy, call the right tools, and still reach the wrong conclusion. That gap became increasingly hard for me to ignore. Most agent systems are getting better at access and execution. They can search documents, query databases, call APIs, use MCP servers, and complete multi-step workflows. But many important business decisions depend on something different: Which evidence is actually requi...
🌍 Dev.to

AI Memory Is Not a Trust Model for Team Knowledge

AI memory solves a real problem: every new session starts cold. An assistant can save facts about a project, retrieve them later, and avoid asking the same questions again. That works well for personal preferences and low-risk context. Team knowledge is different. When remembered information starts influencing incident response, architecture decisions, or production changes, persistence is not enough. The team needs to know: What was saved? Who checked it? Is it still current? ...
🌍 Dev.to

A version bump that got left behind — fixing it with a single source of truth and a `--check` gate

Bumping a desktop app's version number sounds like a one-line change. In practice it can mean editing five different files at once. During one release, exactly one of those files got missed, and an installer nearly got built carrying the old version number. Note: A "version bump" just means incrementing the version number — say, from 1.6.9 to 1.6.10 . The operation sounds trivial, but it can end up scattered across multiple files in practice. What happened This app's ve...