Latest updates for Ai In Production

Fresh curated links around AI in Production are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • Announcing AI in Production 2027
  • AI Pilots: Why They Fail to Reach Production and How to Fix It
  • What Separates AI Agents That Ship to Production from Those That Don’t

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Recent curated links from global sources. Generate one free draft from any story, then use SocialBu to schedule and refine your content calendar.

r-bloggers.com /3 weeks ago

Announcing AI in Production 2027

AI in Production is about the reality of running AI and machine learning systems, not just building them. The talks come from people who have shipped something and lived with what...

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blog.bismart.com /1 month ago

AI Pilots: Why They Fail to Reach Production and How to Fix It

Many companies have already tested generative AI. They have activated copilots, built internal assistants, experimented with agents, tested automations and created committees to id...

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hbr.org /2 weeks ago

What Separates AI Agents That Ship to Production from Those That Don’t

<p>Sponsor content from AWS and Arize.</p>

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aws.amazon.com /1 month ago

AI Teammates: how monday.com runs production AI agents on Amazon Bedrock

AI Teammates are agentic AI on Amazon Bedrock, and few engineering organizations run them in production at the scale that monday.com does. Nine in ten Builders use AI coding tools...

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tomtunguz.com /1 month ago

AI Engineering Productivity is Anything But Normal

AI engineering productivity outcomes cluster in three tiers: a mean of 20-46% from distributing an IDE, a frontier of 2.5-3x from companies building the operating layer around agen...

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tomtunguz.com /1 month ago

AI Engineering Productivity is Anything But Normal

AI engineering productivity outcomes cluster in three tiers: a mean of 20-46% from distributing an IDE, a frontier of 2.5-3x from companies building the operating layer around agen...

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fintechnews.ch /3 weeks ago

Enterprises Move AI Initiatives to Production and Scaling

Organizations across the globe are transitioning from the initial pilot and experimentation phase of their artificial intelligence (AI) initiatives to scaling them on a larger, ent...

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dzone.com /1 month ago

The Production-Readiness Gap in AI-Generated Full-Stack Apps

Full-stack applications are becoming easier to develop with the help of AI tools. All the developer has to do is enter a short description of what they want the application to be,...

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devops.com /2 weeks ago

Production-Grade AI Eval Systems. What I Learned Putting LLMs on Call

Production-grade AI reliability requires more than uptime and latency. A layered eval system helps teams detect hallucinations, RAG failures and quality regressions before customer...

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cloud.google.com /1 month ago

Why AI apps fail in production (And how Google solved it)

We are living in the golden age of the weekend AI side project. Thanks to agentic engineering and LLMs, the time to go from a blank IDE to a functional local application has droppe...

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sdtimes.com /1 month ago

AI agents are ready for production. The infrastructure around them isn’t.

AI coding agents are already doing real enterprise software development work. They write code, read repositories, run tests, open pull requests, and help engineering teams move fas...

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dzone.com /1 week ago

Why AI Projects Stall Between Proof of Concept and Production

A proof of concept is often the easiest part of an AI project. The scope is narrow, the users are friendly, the data sample is controlled, and the success criteria are usually simp...

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dzone.com /1 month ago

Building a Runtime Control Plane for Agentic AI: Lessons From Shipping Real Agents in Production

If you’ve built agentic AI systems, you know the exact feeling I’m talking about. The agent looks impressive in demos — it reasons step by step, selects tools intelligently, and co...

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dzone.com /1 month ago

Five Layers Between Your AI Agent and a Production Outage

Last year, I was working on deploying an agentic AI system to help manage cloud infrastructure at scale. The idea was straightforward: give the agent access to AWS APIs, let it obs...

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dzone.com /2 weeks ago

How to Build and Scale Generative AI Infrastructure

When teams first integrate large language models (LLMs) into their software platforms, the initial experience often feels surprisingly simple. A developer writes a few lines of cod...

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robinwieruch.de /1 week ago

Your AI Output Is Someone Else's Input

AI made producing work nearly free, so the job is absorbing complexity before handing work to someone else, with examples from tickets, PRs, and slide decks.

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logisticsviewpoints.com /1 month ago

Why AI Projects Should Be Built Like Supply Chains

An enterprise team begins an artificial intelligence project with a familiar question: Which model should we use? The team compares benchmarks, studies pricing, debates whether the...

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dzone.com /1 week ago

Beyond Agent-Washing: The Engineering Principles Behind Production-Ready AI Agents

An AI agent is not defined by how intelligently it talks. It's defined by what it's trusted to do. Give a language model a chat window, and you have an interface. Give it access to...

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aws.amazon.com /1 month ago

Optimizing production agents with Amazon Bedrock AgentCore Observability

As your AI agents move from prototype to production, the challenge shifts from getting them to work to keeping them fast and efficient. Learn how to use Amazon Bedrock AgentCore Ob...

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medium.com /1 week ago

Beyond the Prompt: 5 Surprising Truths About Building Production AI Agents

Introduction: The 2:00 AM Production Post-MortemContinue reading on Medium »

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towardsdatascience.com /3 weeks ago

From Prototype to Production: The Architecture Behind Secure & Governed AI Agents

Building the Responsible AI, security, and governance layers required for enterprise-ready agents The post From Prototype to Production: The Architecture Behind Secure & Govern...

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dzone.com /3 weeks ago

Multi-Agent Software Engineering: Can AI Teams Build Production Systems?

Large language models have evolved from simple chat interfaces into autonomous systems capable of planning, reasoning, and interacting with external tools. The next stage of this e...

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dzone.com /3 weeks ago

Thoughts on Developing With A(ccelerated) I(nference)

AI stands for artificial intelligence, yet I prefer the term Dr. Venkat Subramaniam used in one of his talks: Accelerated Inference. To my mind, it is far more accurate, so I have...

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venturebeat.com /1 month ago

Amazon AGI director says AI agent reliability, not capability, is blocking enterprise deployment at VB Transform 2026

The enterprise AI industry has a math problem. Cisco data shows 85% of enterprises are piloting AI agents, but only 5% have shipped them to production. At VB Transform 2026 on Tues...

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