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Stop "Vibe Checking" Your AI Agents: How to Build Production Evals in 60 Minutes Frank Guan Frank Guan Frank Guan Follow for Google AI Sep 30 Stop "Vibe Checking" Your AI Agents: How to Build Production Evals in 60 Minutes #ai #python #langchain #devops 14 reactions 5 comments 2 min read
Most small businesses already have the raw material for good short videos. It sits on the owner's phone: the job half done, the cake before the icing, the van loaded at seven in the morning. What's missing isn't footage or talent.
OpenSSH 10.6 arrived on 2026-10-06 with eight security fixes, two potentially incompatible configuration changes, and a stated shift in release cadence driven by AI-assisted vulnerability reports. The single change with the widest blast radius is not a new feature.
The Silent Revolution in Machine Translation: A Technological Triumph Unheralded Machine translation, once a formidable challenge in computational linguistics, has reached a near-perfect resolution for high-resource languages, thanks to advancements in Large Language Models (LLMs) and neural…
The Whisper in the Machine: My Encounter with an AI's Hidden Mark. I'll open with a personal anecdote – perhaps a moment of mild paranoia while reviewing an AI-generated text, only to discover later the subtle hints of an underlying 'fingerprint.' This hook introduces the central tension: the…
Most AI tools are very good at one thing: Giving you an answer. You ask: “Which customers haven’t paid yet?” The AI gives you a list. You ask: “What should I tell them?” The AI drafts the message. You ask: “Who should I follow up with first?” The AI prioritizes them. Useful? Absolutely.
There's a specific moment that stuck with us. We were watching a demo of an agent doing real work inside a SaaS product — clicking through dashboards, filling forms, looking genuinely useful. And then the question hit: would you trust that agent to do this at 3 AM, unsupervised, when it matters?
This is the engineering summary of an open reference architecture. The paper, its object model as JSON and the model register are free to reuse under CC BY 4.0: https://codeatoms.ai/port-digital-twin-us/. The operator is described by class, never by name.
Manychat vs Respond Io: ¿Cuál Elegir en 2026? Comparativa Completa Como desarrolladores y product managers, sabemos que la automatización de la comunicación con nuestros clientes es fundamental para mejorar la experiencia del usuario y aumentar la conversión.
VIDRAFT Selected as Enterprise User of Quantinuum's Quantum Computing Platform TL;DR: Korean Pre-AGI startup VIDRAFT has been selected as an enterprise user of Quantinuum's quantum computing platform, marking a notable intersection of quantum hardware/software and AI model development.
You know the moment. You're waiting for the kettle, or the elevator, or a page to load, or a friend who's running late. There's a gap — thirty seconds, maybe three — of nothing to do. And your hand is in your pocket before you've even decided to reach for it. Not because you need anything.
Hello DEV Community! 👋 I want to share the architectural breakthrough behind the latest version of my open-source project: Maliklang V4. This version marks a major shift from building basic runtime interpreters to engineering secure, production-resilient environments capable of optimizing complex…
Prompt injection is OWASP's LLM01:2025, the top vulnerability in LLM based systems, and yet most agentic .NET projects I review have no redaction pipeline at all. They have a SessionStore, they have JsonSerializer, and they have a lot of optimism.
Second-Memory stores things a user writes over time. If a user later asks: “What did I write about performance problems?” A normal keyword search isn't always enough.
I spend a lot of time in the AI space -- reading papers, building things, talking to engineers who are actually shipping. And there is a gap between what the demos show and what production systems actually look like that nobody is being fully honest about.
Every security team knows the pattern: you want a proper assessment of an app, but the options are waiting weeks for a consultancy slot, or stitching together a dozen tools and babysitting them for days.
There’s a very specific kind of optimism involved in copying a coupon code. You see “20% off.” You picture the cheaper total. You paste the code. “Coupon cannot be applied to this order.” Apparently, the optimism was the free part.
In the rapidly evolving landscape of Decentralized Finance (DeFi), identifying high-yield opportunities while mitigating risk is a complex challenge. Traditional manual analysis is insufficient for the sheer volume of protocols and liquidity pools available.
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