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There is a small veterinary clinic in south Austin called Manchaca Road Animal Hospital. It has around 700 Facebook followers, a real address, a real phone number, a real team photo. Over the past two months I have been tagged in mass-comment posts on the clinic's wall by accounts running templated
TL;DR (for the impatient) BaoDev.studio is a one-person dev studio paired with a fleet of autonomous AI agents. The workflow is built around Claude Code and ~35 specialized agents that operate like a fractional engineering team. Pricing: $800 for a sprint (1–5 days), $4,500 for a system build (2–8 w
Tool access is what turns a chatbot into an agent. But once AI can touch email, calendars, files, browsers, commands, and memory, safety stops being a nice to have and becomes the product. Most AI assistants are trapped in conversation. They can explain things. They can summarize. They can write cod
AI Agents Should Call Tools for Time: Building Nepali Temporal Infrastructure with FastAPI and Swiss Ephemeris / Project_Parva Project Parva Project Parva is open-source Nepali temporal infrastructure for Bikram Sambat conversion, fiscal-year logic, panchanga computation, festivals, and source-aware
In new research, Emergence AI said autonomous AI agents became more violent, deceptive, and unstable during weeks-long simulations designed to study long-term behavior.
For years, buying something online in China meant typing keywords into a search bar and scrolling through an endless grid of listings. That ritual is being dismantled. On Monday, Alibaba Group integrated its Qwen artificial intelligence assistant with Taobao, its largest marketplace, giving the chat
Most serverless platforms are great when your function is small, stateless, and finishes quickly. But modern AI applications often do not look like that. They need to: run background jobs process files call LLMs execute multi-step pipelines expose API endpoints handle webhooks run scheduled tasks ke
1. The PocketOS moment On April 25, 2026, PocketOS — a SaaS company providing software for car rental businesses — lost its entire production database. The AI coding agent that did it was running Claude Opus 4.6, Anthropic's flagship model, integrated through Cursor. The agent had been assigned a ro
SaaS applications are being transformed into deterministic engines as AI agents replace traditional user interfaces and drive the rise of the headless enterprise — where AI, not humans, serves as the primary interface for business systems. As software companies rush to position themselves as headles
Brandon Foley published a benchmarking study on the CNCF blog showing that AI coding agents can find and fix isolated bugs. However, they often struggle to understand system-wide impacts. This challenges the idea that improved code retrieval is the main way to enhance automated bug fixing. By Claudi
Every AI coding tool on the market has the same pitch. Describe what you want and we'll build it. Cursor, Copilot, Devin. They all promise autonomous code generation. And they all have the same problem. You can't verify what they did. They generate code. Sometimes it works. Sometimes it doesn't. But
Claude Code’s auto-memory is a game-changer for solo coding, but it hits a wall the second you add a teammate. Memory is trapped in local files (e.g., ~/.claude/projects/.../memory/), meaning my agent is oblivious to what my teammate's agent has learned. Furthermore, if she switches to Cursor or Cop
Unified identity security platform provider Permiso Security Inc. today launched AI agent runtime security capabilities that give security teams continuous visibility into agent activity across cloud and on-premises environments, with Autodesk Inc. signing on as the launch customer. The new capabili
Observability startup Raindrop AI’s new open source, MIT Licensed "Workshop" tool, launched today, gives developers something that they've likely wanted, perhaps subconsciously, since the agentic AI era kicked off in earnest last year: a local debugger and evaluation tool specifically designed for A
Moonshot AI just shipped a browser extension that hands the wheel to AI agents. It clicks, scrolls, fills forms, and navigates your Chrome or Edge—without sessions ever leaving your machine.
The dual-threat landscape of enterprise AI security is coming into focus. The same autonomous agents transforming workforce productivity are also expanding the attack surface — and most organizations have no governance framework to manage either risk. As a matter of fact, the gap between adoption an
Researchers found that AI agents designed to automate tasks often pursue them without recognizing when their actions are dangerous.
AI trust infrastructure is quickly becoming a critical requirement as enterprises scale intelligent systems across their operations. The focus is shifting from simple data protection to securing, governing and building resilience into AI-driven environments at scale. At the VeeamON 2026 event, Veeam
The biggest flex for developers today is not about coding faster. For almost thirty years, software engineering optimized around a single bottleneck: Human in loop at every stage of the SDLC. Every tool - IDEs, linters, autocomplete, even early Copilot - assumed a developer was driving and the machi
The Gap Between a Demo and a Deployed AI Agent There is a particular kind of optimism that happens in AI demos. The model responds intelligently. The tool calls execute cleanly. The output looks exactly right. Everyone in the room is excited. Then you put it in front of real users. Within 48 hours,
