Reading a long-form piece on, say, the Peloponnesian War. Thucydides gets mentioned as a primary source. I half-know who he is — historian, Athenian, that's about it — but not enough to understand why the author is citing him specifically over Herodotus. Opening a new tab means I lose the sentence I was in. Skipping it means I read shallower than the text deserves. rabbitholes is a Chrome extensio
Hey DEV community 👋 I recently built and deployed a full-stack AI system that predicts medical specialties from clinical text using ClinicalBERT, and I wanted to share the full journey from training to deployment. This is part of my project under GradienNinja / Astrolabsoft. Link https://astrolab-medical-ai.netlify.app/ I built an AI system that: Takes clinical notes as input Predicts the most l
The Autonomous Paradox In 2026, we’ve moved past simple chatbots. We are building Production-Grade RAG pipelines and autonomous agents that can plan, execute, and iterate. But as an architect, I’ve noticed a glaring hole in our "Agentic" future: Identity Sprawl. We are giving agents non-human identities (NHI) with "Full Admin" permissions just to ensure the RAG works smoothly. We are effectively
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Fortifying APIs: Data Validation with Pydantic When building backend services, a fundamental principle stands above all others: never implicitly trust incoming data. Client applications, whether web, mobile, or third-party integrations, are inherently unpredictable. A seemingly innocuous input field expecting an integer for "age" might instead transmit "twenty-five". Without robust safeguards, s
I wanted to ask AI about it, but the flow was annoying: switch to a browser, open a chat tab, copy or type the error, wait for an answer, then switch back. After doing that too many times, I started building something that works directly on the desktop. That became Xerolas. Xerolas is an AI screen lens for your desktop. It works like this: Press Ctrl + Shift + Space Drag over any region of your
Today I started learning Python, and I explored some fundamental concepts that helped me understand how Python actually works behind the scenes. Python is a high-level, interpreted programming language. Being high-level means it is easy to read and write, as it is closer to human language and abstracts away hardware complexity. This makes it very different from low-level languages like assembly or
Today we're open-sourcing the AI Model Directory, the most comprehensive, automatically updated list of AI models and their metadata available today. It's the data layer that powers model selection in AgentOne, and now it's free for anyone to use, fork, or contribute to. If you'd rather just look at models, we also built a browser for the directory at models.agent-one.dev where you can search, sor