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Every API client is racing to add AI features. But there's a fundamental problem nobody's talking about: API testing involves the most sensitive data in your stack. Auth tokens. API keys. Production
After days of work, REST API Generator is now live on a public test server. 👉 https://rest-api-generator-ag0z.onrender.com No install. No account. Open it in your browser, write a plain-English desc
Ever built a webpage and thought, "Wouldn't it be cool if this animation only triggered when the user actually scrolls to it?" Or maybe you've seen lazy-loaded images on big websites and wondered how
Starting mid-February, I downloaded an instance of a wildly popular open-source agent framework and dove into 10+ hours of daily development. But I quickly realized something felt off — the framework
Part 2 of 5 in the series: 50 Things the Anthropic API Can't Do | Intermediate Same context as before: Claude helped write this. I gave it access to our docs at docs.backboard.io, it read them itself
Three clients came to me last month with almost the same question. One wanted a customer support chatbot trained on 800 pages of product docs. One was building an internal knowledge tool for a 40-pers
You are a software engineer, so you know that feeling. You are deep in dependency hell, reading library docs, digging through version histories, staring at compatibility matrices. Running tools to det
This post is based on our experience building monassuranceanimal.fr, a pet insurance comparison platform for French pet owners.
What if the tools that write your code could also design your interface? For years, product development has followed a fairly structured pipeline: designers build the interface in design software, de
AI agents are running third-party code on your machine. Last week, Anthropic announced extra charges for OpenClaw support in Claude Code, drawing fresh attention to the ecosystem. We wanted to answer
In this tutorial, you'll learn how to build a complete data pipeline using Dotflow — a lightweight Python library that requires zero infrastructure. No Redis. No RabbitMQ. No Postgres. No Docker. Jus
The Java ecosystem is quietly becoming a powerful foundation for building production-grade AI systems not just consuming models, but optimizing how they run, scale, and integrate. 💡 Let’s go deeper
If you’re building AI today, the indianapolis data center shooting is the incident your threat model is missing. Early on April 6, someone fired 13 rounds into Indianapolis councilor Ron Gibson’s fro
There's a quiet kind of technical debt that doesn't show up in bundle size or test coverage: code that requires a mental simulation to understand. You read it line by line, holding context in your hea
Title: Why LLM Context Windows Aren't the Answer to Personal AI Memory As developers, we often try to solve the 'memory' problem by simply stuffing more tokens into the context window. But as the win
Title: Beyond RAG: Why AI Agents Need a Self-Hosted 'Memory Hub' Most developers working with LLMs are hitting the same wall: context window limitations and the 'forgetting' problem in long-running a
Introduction Securing remote access to a Plex media server hosted on a Synology NAS device presents a critical challenge, particularly in the face of advancing quantum computing capabilitie
Your skills section is the most-scanned part of your resume after your name and current title. ATS systems use it for keyword matching. Recruiters use it as a 2-second compatibility check. If it's poo
The intersection of artificial intelligence and cybersecurity is no longer a future concept — it is the present reality shaping how organizations defend their data, detect threats, and demonstrate reg
When I set out to build Torus, a reverse proxy in Node.js, the node:cluster module looked like the perfect solution to my biggest architectural hurdle. Because Node.js is natively single-threaded, thi