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I spent two semesters building an AI agent that runs penetration tests. For the non-hackers in the room, penetration tests are basically security assessments where you try to break into a system to find vulnerabilities before someone else does. My project aims to automate this process. It proposes c
Originally published on longevityai.nl — for full context, comments and related articles, visit the source. Most AI products are static. You fine-tune a model, ship it, and it stays exactly as smart as the day you launched. Your users get the same quality on day 1 as on day 365. Mine doesn't work th
Why Most AI Agent Projects Fail in Production AI agents have become one of the most talked-about technologies in software development. Every week, a new framework, model, or agent platform promises to automate complex workflows and replace repetitive human tasks. Yet despite the excitement, a surpri
Introduction Conversational AI is no longer a niche hobby; enterprises use it for customer support, lead qualification, and internal tooling. Rasa Open Source gives you a production‑ready stack that runs on‑premise, lets you keep data private, and offers full Python extensibility. In this article we
I’ve noticed that many organizations have successfully digitized their membership programs, but the experience often stops at providing a digital card and basic account management. This made me wonder whether AI agents could become a more active part of the membership journey. For example, imagine a
When I started building omadia — an open-source (MIT), self-hostable runtime for composing AI agents out of plugins — I assumed the hard part would be the model: prompting, tool-calling, getting reliable output. It wasn't. The LLM bits were mostly solved problems. The parts that ate my time were iso
Three years ago, developers wrote code. Today, they're managing AI. Tomorrow, they might simply describe what they want. That future is arriving faster than most people realize. Last week, I spent several hours testing modern AI coding agents. Not chatbots that answer coding questions. Actual agents
Cloudflare Inc. co-founder and Chief Executive Matthew Prince says that artificial intelligence agents now drive the bulk of the internet’s traffic, having surpassed human web activity for the first time. The milestone was crossed much earlier than most people had anticipated, in another illustratio
Every time I wanted to give my small team some internal tooling - a shared task tracker, a place for documents, a calendar, an assistant that actually knew our files - I ended up wiring together five SaaS subscriptions or a sprawling self-hosted stack: Postgres, Redis, a vector database, a frontend
Every AI agent ships with the same bottleneck: it can only reason over what it can reach. MCP servers dissolve that boundary. They expose tools, resources, and prompts to any compliant client over a JSON-RPC wire format so lean you can implement it in an afternoon. Yet most developers grab a framewo
You have explained your tech stack to your coding agent four times this month. You mentioned your preferred approach to a problem in January, and your agent has no idea it ever happened. You corrected a decision last week and the old version is still surfacing. You set up context at the start of eve
I Read Your AI Agent Logs So You Don't Have To: A $149 Service That Beats Another Dashboard What if the cheapest fix for your broken AI agent is a stranger reading 40 hours of traces for $149? I spent the last month doing exactly that — reading roughly 40 hours of production logs from teams running
Your finance team tries an AI agent to help close the books. It has access to data. It seems capable. But the results are unsettling: sometimes it cites an accounting policy that expired last quarter, sometimes it mixes data from different legal entities, and sometimes it simply forgets it already a
Every developer working with AI right now is quietly accumulating two things: MCP servers and agents. A server here for filesystem access, one there for a database; a scratch agent to triage issues, another to review code. It starts as a couple of useful tools. Within a month it's a sprawl — and alm
Radiant Logic Inc., a platform that provides identity visibility and intelligence, today announced it’s extending its services to agentic artificial intelligence to help companies control and govern this new type of autonomous software. As autonomous AI systems proliferate, including AI agents, and
While building AI agents locally using Google’s Agent Development Kit (ADK) is an excellent way to prototype, production-ready agents require a robust, scalable infrastructure. For developers looking to move beyond simple instances and into the world of managed container orchestration, Google Kubern
Willow (formerly Webrix) emerged from stealth mode with an access platform designed to secure enterprise AI agents. The post Willow Raises $7 Million for Securing Autonomous AI Agents appeared first on SecurityWeek.
It got stupid again. The internet still feels held together with tape. Bad plugins, old bugs, fake tools, trusted apps doing shady things. Same mess, new wrapper. And now the weird stuff is normal. Forums go down and come back worse. Cheap hackers get better toys. AI starts breaking real systems. Gr
AI agents are software systems that can perceive their environment, reason through a problem, and take action to complete a goal, all without you clicking a button for every step. If you’re a developer or freelancer trying to understand what everyone in tech is talking about, you’re in the right pla
Draft flagship post — publish on your blog (canonical), then cross-post to dev.to / Hashnode and as a LinkedIn article. ~1,100 words. This is your single strongest, most differentiated story — it's what makes a hiring manager think "this person actually gets agent reliability." Everyone can get an L
