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Last year I had 10 open tickets, a week-long deadline, and three AI coding agents installed on my machine. Claude Code, Codex, Gemini CLI. Each one individually capable of knocking out a task in minut
Access reviews are everywhere. Quarterly cycles. Audit requirements. Approval workflows. Compliance dashboards. They’re treated as one of the most critical controls in Identity and Access Management
Most agent security starts with the same two questions: Who is this agent? What is it allowed to do? Those are necessary questions. But they are no longer sufficient. In testing agent systems, so
Hey DEV community! 👋 If you’ve been spending your time building multi-agent systems, you already know the reality: getting the agent to reason correctly is the fun part. But the moment you try to de
This post is part of a series of corollaries to the Inglorious Web series. It stands alone, but the examples make more sense if you've read the architecture post first. Forms are one of those rele
I've been building with the Laravel AI SDK since it dropped, and one thing became clear fast: the agent itself is not the hard part. The tools are. Let me explain what I mean. What Are Tool
⚔️ Kafka vs RabbitMQ vs SQS vs BullMQ — Stop Guessing, Choose the Right One (2026 Guide) ❌ Using the wrong messaging system will silently kill your scalability. ✅ Choosing the right one wi
I'm a backend-leaning developer working at an ed-tech company in Korea. I wanted to build something on the side — a football prediction service for the English Premier League. The problem? I hate writ
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