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  • Diseñar agentes LLM con contratos verificables

    Un agente LLM puede parecer muy capaz durante una demostración y volverse dificil de operar cuando empieza a llamar APIs, crear tickets o consultar datos reales. El problema no suele ser que el modelo “no sepa” la respuesta.

    Dev.to AI5 min read
  • AWS Adds Cross-Region Routing for GPT-5.6 on Bedrock

    Amazon Web Services has introduced cross-region inference for OpenAI's GPT-5.6 models on Amazon Bedrock, its managed model-hosting service. The feature automatically routes inference requests to whichever supported AWS region has available capacity, rather than forcing a customer's application to…

    Dev.to AI2 min read
  • AI Automation Isn't Automation If You Still Babysit It

    AI Automation Isnt Automation If You Still Babysit It AI automation didn't become interesting because AI learned to automate tasks. It became interesting when we started trusting it with actual work. There’s a big difference between Here’s what you should do next and I already did it for you.

    Dev.to AI2 min read
  • OpenAI Ships GPT-5.6, Pitching It as Cheaper to Run at Frontier Quality

    OpenAI has released GPT-5.6, describing it as a model that combines "frontier intelligence" with "frontier efficiency" — the company's framing for a model that matches or exceeds prior top-tier reasoning benchmarks while costing less to run per query.

    Dev.to AI2 min read
  • OpenAI Adds Training Tools to ChatGPT Enterprise, Extends Codex Access

    OpenAI has introduced new features aimed at helping people learn and teach with ChatGPT Work and Codex, according to a company announcement. The update is positioned as making it easier for organizations to build internal fluency with AI tools directly inside the products, rather than relying…

    Dev.to AI3 min read
  • Will AI Take My Job? A Practical Way to Think About It

    People ask it as a yes or no. It isn't one. Not because nobody knows the answer, but because "job" is the wrong unit to ask about. Almost nobody does one thing at work. You do a bundle of tasks, and AI hits each one differently. Some are already mostly automatable. Some are decades out.

    Dev.to AI9 min read
  • Why ChatGPT Gives Wrong Answers (and How to Stop It)

    You asked something. The answer came back polished. Later you found out it was wrong. A statistic that doesn't exist. A citation to a paper nobody wrote. A confident summary of a document that says the opposite. The frustrating part isn't the mistake.

    Dev.to AI9 min read
  • From Generative AI to AI Agents: From Answers to Action

    AI has come a long way. What started with simple rule-based systems has evolved into machine learning, deep learning, transformers, and now generative AI. But the next big shift isn't just about AI generating better answers. It's about AI taking action. That is where AI agents come in.

    Dev.to AI3 min read
  • Saga Pattern: Agile Recovery for AI Agents in 2026

    How the saga pattern helps AI agent recovery in multi-step workflows Your AI agent got three steps right, then failed on the fourth. The order exists, the card may be charged, the customer might already have an email, and the CRM is now out of sync.

    Dev.to AI12 min read
  • OpenAI's Dots: Unsupervised AI Agents Unpacked

    The Ghost in the Machine: My Robot Vacuum's Existential Crisis (and Ours) My robot vacuum, Bartholomew, has started avoiding the rug in the living room. Not all the time, just on Tuesdays.

    Dev.to AI12 min read
  • I Let Hindsight Remember Our Deployments. SQLite Keeps It Honest.

    The useful part of a deployment agent isn't telling me what a PostgreSQL upgrade is. It's remembering what happened the last time I tried one. That became the central idea behind DeployMind, a DevOps pipeline agent I built around Hindsight.

    Dev.to AI9 min read

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