Why AI coding agents aren’t production-ready: Brittle context windows, broken refactors, missing operational awareness

Remember this Quora comment (which also became a meme)? (Source: Quora) In the pre-large language model (LLM) Stack Overflow era, the challenge was discerning which code snippets to adopt and adapt effectively. Now, while generating code has become trivially easy, the more profound challenge lies in reliably identifying and integrating high-quality, enterprise-grade code into production …

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Engaging Gen Z and Driving Growth With AI | Agentic AI for Bank Marketing Compliance and Performance (part 2 of 2)

In November, we shared Part 1 of our two-part series on how AI is reshaping the future of marketing for mid-size banks and credit unions, enabling them to move faster: automating workflows, simplifying A/B testing, and cutting down content legal review cycles. Now, we shift to the growth side — because AI doesn’t just make …

SO-Bench: A Structural Output Evaluation of Multimodal LLMs

Multimodal large language models (MLLMs) are increasingly deployed in real-world, agentic settings where outputs must not only be correct, but also conform to predefined data schemas. Despite recent progress in structured generation in textual domain, there is still no benchmark that systematically evaluates schema-grounded information extraction and reasoning over visual inputs. In this work, we …

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Using MCP with Web3: How to secure agents making blockchain transactions

At Google Cloud, we sit at a unique intersection of two transformative technologies: AI and Web3. The rise of AI agents capable of interacting with blockchains opens up a world of automated financial strategies, fast payments, and more complex scenarios like executing complex DeFi operations and bridging assets across multiple chains.  However, the practical viability …

AI denial is becoming an enterprise risk: Why dismissing “slop” obscures real capability gains

Three years ago, ChatGPT was born. It amazed the world and ignited unprecedented investment and excitement in AI. Today, ChatGPT is still a toddler, but public sentiment around the AI boom has turned sharply negative. The shift began when OpenAI released GPT-5 this summer to mixed reviews, mostly from casual users who, unsurprisingly, judged the …