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Agentic SRE is the evolution of site reliability engineering where AI agents help observe systems, reason over telemetry and take bounded operational actions under human-defined gu...
Agentic AI demos are everywhere. Production agentic AI is rare. The gap between the two is not a model problem; it is an engineering problem, and it is one that distributed systems...
Agentic engineering gets really interesting when it moves beyond dashboards and alerts and starts taking action. One of the clearest places to apply it is incident response. Instea...
The firms that win will use agent deployment as an X-ray and redesign their organizations around what they find.
Key Takeaways An agentic loop is a trigger + a verifiable goal. The agent runs until the goal is met – no prompting required. Loop engineering is said to be the practice of designi...
Agentic AI systems represent a paradigm shift in network operations, facilitating the transition from traditional reactive monitoring to fully autonomous management frameworks. For...
A new generation of engineering workflows aims to move beyond AI-assisted coding by enabling AI agents to build models, execute simulations, analyse results, and refine designs wit...
Agentic AI is now a core part of the engineering process, driving massive execution leverage and helping us generate more code than ever before. Yet, a difficult question I’ve incr...
Originally appeared on Alchemists: Articles. Proactive Engineering Proactive engineering is the practice — and rigor — of staying atop new technologies, designs, and changes i...
Loop Engineering emerges as the successor to Prompt Engineering, shifting developers from manually instructing AI agents to designing self-sustaining automated systems.
In my 30 years of navigating the IT landscape, I’ve seen ‘Agile’ transform from a revolutionary mindset into what often feels like a series of manual project hurdles. In many larg...
I'm a product manager. I write specs, run reviews, align stakeholders. Last year I got tired of handing things off and waiting. I picked up vibe coding, designed the knowledge bas...
<p class="wp-block-paragraph">A year ago I wrote about integrating generative AI into ITSM workflows. Back then, &#8220;integration&#8221; mostly meant a ch...
Agentic development is changing the way software gets built. The shift is bigger than developers using autocomplete or asking a coding assistant to explain a function. Engineering...
Agentic AI is a class of artificial intelligence in which software systems autonomously plan, execute...
Here's why revenue teams need a "Marketing Engineer" — a systems designer who orchestrates agentic AI workflows — and how to hire and structure the role.
"Human in the loop" is a phrase we hear constantly in the AI space. It's meant to be reassuring—reminding us that humans are still in control, still the ultimate decision-makers.Bu...
Microsoft's Agentic Transformation Patterns Playbook is a useful signal because it does not treat AI agents as another productivity tool. It frames agentic AI as an enterprise oper...
Last October, I published a blog proposing a different mental model for AI agents: Treat them as cognitive skills and products, not as digital employees. That framing has since res...
Nondevelopers are building complex agentic AI systems on intuition developed through many hours of experimentation, YouTube videos, and Reddit threads.
Snowflake's Data-Model-Agent framework secures the agentic enterprise with prompt injection defense, zero-copy governance and auditable agent identity.
Key takeaways: Agentic AI is a different category from the AI you already use. Predictive AI flags a problem and generative AI drafts a response, but agentic AI pursues a […]
Agentic AI is transforming procurement, but organizations still bear full responsibility for the decisions autonomous systems make.
Autonomous agents have become the wrongly envisaged North Star for agentic AI in insurance for many. In a regulated industry where every material decision must be explainable, audi...
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