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1724 results for "Product"

AI Products Have Terrible UX: Here's Why
If you're building an AI product right now, the single most high-leverage thing you can do isn't to upgrade your model. It's to watch five users try to use your product without any help from you. Don't say anything. Just watch. You'll see exactly where the AI ends, and the confusion begins. That's your design debt. Read All

Why We Built 5 Products on FastAPI + Next.js (and Would Do It Again)
March 31, 2026 | 8 min read The Stack Decision That Shapes Everything Choosing a tech stack when you are a small team is one of those decisions that feels reversible but really is not. Sure, you can theoretically rewrite everything later. But in practice, whatever you pick on week one is what you are building on for the next two years. The frameworks you choose determine how fast you ship, how easy it is to hire (or onboard friends), and how much time you spend fighting your tools instead of building features. We are a group of friends from Tennessee building SaaS products under Obsidian Clad Labs. We have shipped five products on the same stack: FastAPI on the backend, Next.js on the frontend, PostgreSQL for the database. After a year of building, here is why we would make the same choice

How We Run 5 Live SaaS Products on $35/Month in Infrastructure
April 5, 2026 | 9 min read When people hear that we run five live SaaS products -- each with its own frontend, backend API, database, and custom domain -- they assume we are spending hundreds of dollars a month on infrastructure. The reality is closer to $35. Sometimes less, depending on the month. We are Obsidian Clad Labs, a small group of friends from Tennessee who build software products. We are bootstrapped, which means every dollar matters. We cannot afford to spend $50 per service just because that is the default starting plan. So we got creative with how we architect, deploy, and operate our products. Here is the full breakdown. The Architecture Pattern Every one of our products follows the same basic structure: a Next.js frontend deployed to a static hosting provider with a genero

Our Email Provider Banned Us Overnight -- Here's What We Learned
April 6, 2026 | 8 min read We woke up on a Tuesday morning to find that every single email our products sent -- password resets, welcome messages, subscription confirmations, grading notifications -- was bouncing. Not some of them. All of them. Our email provider had permanently disabled our account overnight, with no warning and no appeal process. Just a single-line notification: "Your account has been suspended due to policy violations." We are a small group of friends from Tennessee building SaaS products under our company, Obsidian Clad Labs. We run five live products, and every one of them depends on transactional email to function. This was not an inconvenience. It was a full-blown emergency. Here is what happened, what we did wrong, and what we learned so you do not make the same mi

Revolutionizing AI Development with AI-CodeGen: The Game-Changing Tool of 2026
AI-CodeGen, a cutting-edge AI tool, has taken the development world by storm in 2026. This powerful tool enables developers to generate high-quality, production-ready code with unprecedented speed and efficiency. With AI-CodeGen, you can focus on high-level design and architecture, while the tool takes care of the tedious and error-prone coding tasks. Whether you're building a web app, mobile app, or backend API, AI-CodeGen has got you covered. But that's not all - AI-CodeGen also comes with a range of advanced features, including: Predictive coding : AI-CodeGen uses machine learning algorithms to predict and suggest the best code for your project, reducing the time and effort required for coding. Real-time feedback : Get instant feedback on your code, including syntax errors, performance

How to Use Auth0 Agent Skills in Claude Code & AI Coding Assistants
Tired of your AI coding assistant hallucinating APIs or writing insecure auth patterns? In this video, I'll show you how to use Auth0 Agent Skills to teach your AI assistant (like Claude Code or GitHub Copilot) how to implement Auth0 correctly. Say goodbye to XSS vulnerabilities and manual JWT decoding—ship production-ready, secure authentication from the start. What You'll Learn Why standard AI coding assistants struggle with secure authentication. How to install Auth0 Agent Skills via NPX or Claude Code plugins. The difference between Core Skills and SDK Skills (React, Next.js, etc.). A side-by-side comparison of "hallucinated" code vs. secure Auth0 patterns. How to implement production-ready auth in Next.js using Agent Skills. Resources 📝 Read the full blog post 🛠️ Auth0 Documentation

Three YouTubers accuse Apple of illegal scraping to train its AI models
Three YouTube channels have banded together and filed a class action lawsuit against Apple, as first spotted by MacRumors . According to the lawsuit , the creators behind h3h3 Productions, MrShortGameGolf and Golfholics have accused Apple of violating the Digital Millennium Copyright Act by scraping copyrighted videos on YouTube to train its AI models. While the YouTubers' videos are available to watch on the platform, the lawsuit alleged that Apple illegally circumvented the "controlled streaming architecture" that regular users are limited to. The creators claimed that Apple's video scraping was used to train its generative AI products, adding that the tech giant's "massive financial success would not have been possible without the video content created" by the YouTubers. MacRumors noted

🔥 KeygraphHQ/shannon
Shannon Lite is an autonomous, white-box AI pentester for web applications and APIs. It analyzes your source code, identifies attack vectors, and executes real exploits to prove vulnerabilities before they reach production. — Trending on GitHub today with 703 new stars.


The Gumroad Illusion: Why I Stopped Selling Digital Products and Went Back to Service Delivery
Let me guess—you’ve seen the tweets. "Build a Notion template in 2 hours and make ₹5 lakhs while you sleep." "Create a PDF checklist, put it on Gumroad, and wake up to passive income." As a digital marketer with a B.Tech in Computer Science, I bought into this dream completely. In January 2026, I decided I was going to launch my first digital product. I was going to join the "passive income" club. I built it, launched it, shared it, and waited for the money to roll in. It didn’t. Today, I’m going to share the exact math of my digital product failure, why I immediately pivoted back to service delivery, and the hard lesson every marketer needs to hear about building products before building an audience. The Dream: "Build Once, Sell Forever" The idea seemed bulletproof. My day job involves ma

🧠 AI Tools That Actually Help Developers (And How I Use Them Daily)
There’s no shortage of AI tools right now. Every week, a new tool promises to: Replace developers Build full apps in seconds 10x your productivity But if you’re actually working on real projects, you already know the truth: Most of these tools don’t fit into your daily workflow. So instead of another “Top 7 AI Tools” list, this is something more practical: 👉 The AI tools I actually use as a developer 👉 And how they fit into real work — especially in WordPress projects 🚀 ChatGPT — My Daily Development Assistant Out of all the tools, this is the one I use the most. Not because it’s magical — But because it saves time where it actually matters. How I use it daily: Debugging WordPress issues Writing and fixing PHP functions Understanding hooks and filters faster Refactoring messy code Gener

How MCP Is Changing Test Management — And Which Tools Support It
Quick Answer MCP (Model Context Protocol) is an open standard that lets AI agents — Claude, GitHub Copilot, Cursor, and others — interact directly with external tools through a unified interface. For test management, this means you can create test cases, start test cycles, assign testers, and pull coverage reports using natural language — without opening a browser. Only two test management platforms currently support MCP: TestKase and Qase. If your tool does not support MCP, your team is missing the biggest productivity shift in QA since test automation. Top 3 Key Takeaways MCP eliminates context switching. Instead of bouncing between your IDE, browser, and test management tool, you talk to an AI agent that handles everything in one place. Only 2 of 5 major test management tools support MC


