Tag: agenticai
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Feels a little bit like a platform standard so powerful that you need an AI front-end to make it usable by mere mortals.
Yes: Kubernetes started as a way to orchestrate containers, but its true innovation lies in its API model. The declarative resource pattern, with its desired state, actual state and continuous reconciliation, has proven to be a universal abstraction. It works for workloads, infrastructure, policies and more. That universality is why Kubernetes has become the foundation…
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AI uses at banks, private AI and customer built AI apps – skills and regulations are the friction for wider adoption
The most common use case for agentic AI is customer service, according to 75% of banks surveyed by Capgemini. Nearly two-thirds use the technology for fraud detection, while 3 in 5 use it for loan processing and customer onboarding. Also, 84% of apps/uses are built in house: BNY developed its AI agents in-house, which one-third…
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A representative case of the oddly simple things that LLMs are bad at
Does it seem right that computer systems that use billions of dollars of hardware, electricity, and clean water need my help to add line numbers to a few kilobytes of plain text? No, it does not. But at least this gives me deterministic results for one part of the processing. Recently, though, I’ve observed that…
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Vibe coding toolchain and method
A lot of effort went into making this effortless. 🔗 Just Talk To It – the no-bs Way of Agentic Engineering, Peter Steinberger
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Fly includes an audacious reimagining of the software development process, making versioning automatic and version names obsolete.
‘JFrog Fly is the company’s agentic developer platform and an MCP server that works with multiple IDEs, including VS Code and Cursor. Integrated with GitHub and observability, Fly provides a chat interface that allows users to query, promote, and roll back existing releases based on specifics of the code (e.g., “Which features were added to…
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🤖 Bain Says GenAI Coding Hype Falls Flat Without Full Software Lifecycle Rethink
Generative AI stormed into software development promising a coding revolution, but so far, it’s making developers only marginally faster—and in some cases, slower. Bain & Company’s Technology Report 2025 argues that real productivity gains will require a wholesale reinvention of the entire development lifecycle, not just sprinkling AI on coding tasks. AI generated summary of:…
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The intelligence is in the user – The robot is only as good as what you bring to it.
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I think “agent” may finally have a widely enough agreed upon definition to be useful jargon now – “[AI ‘agents’ are] Tools in a loop to achieve a goal… wiring up tools to an LLM in order to achieve goals using those tools in a bounded loop.” // Also, he’s not a fan of the…
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How To Build Agentic AI That Ships – The New Stack – “Ninety-five percent of AI initiatives should be expected to fail as long as we ignore these pitfalls: Models are generic. Enterprises are unique. Ideal use cases aren’t flashy. Coordination across teams is hard.” // Lots of other good executive think too, especially being…
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Gartner Predicts Over 40% of Agentic AI Projects Will Be Canceled by End of 2027 –
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Agentic Design Patterns, book draft –
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Lessons learned from agentic AI leaders reveal critical deployment strategies for enterprises –
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How Goodyear is trying to meet its “big, hairy, audacious goal” – time for tech execs to step up to agentic AI, says CDO Mamatha Chamarthi – Helping “coach” sales people is a popular AI use case. You can imagine prompts like “given what we know about this customer and their business, what products should…
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As Consumers Turn To Agentic AI Use Cases, Businesses Must Adapt Or Be Left Behind – ”Domain-specific agents will be rejected. Several consumer-facing businesses are building their own proprietary ‘shopping agents.’ But the power of consumer agents lies in access to holistic consumer data. A personal agent will always outperform a domain-specific corporate agent in…
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Three Essential ROI Goals for Agentic AI Applications –
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How to make MCP Prompts in Java with Spring AI – Coding Model Context Protocol Prompts – Solo roleplaying D&D with agentic AI, #04
Let’s get the AI to build D&D adventures for us with a Model Context Protocol Prompt. I haven’t found much value in MCP Prompts until now. What makes them excited is when you use them a “recipe” to chain together other tool calls. In this episode of my MCP programming series, I show you how…
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How to create a Model Context Protocol Resource – Solo roleplaying D&D with agentic AI, #03
The AIs are good at being a Dungeon Master for Dungeons & Dragons, but their memory is limited. How can you make sure they don’t forget all that loot you just got, or ensure that cobbler back in the village remembers the type of boots you orders and paid for up front? I’ll show you…
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Spy on the DM with Model Context Protocol Servers in Java – Solo roleplaying D&D with agentic AI, #02
Not only can you give more direction to the AI when you’re playing solo D&D with it, you can start to understand how it thinks. I walk through how to use MCP Server tools to enhance solo roleplaying with Claude (and ChatGPT, etc.) and how to get extra information about how the AI is thinking.…


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