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 “autonomous” vision, which feels right. // “This category of agent remains science fiction. If your agent strategy is to replace your human staff with some fuzzily defined AI system (most likely a system prompt and a collection of tools under the hood) you’re going to end up sorely disappointed."
Atlassian acquires DX, a developer productivity platform, for $1B - That’s a good match, and a quick exit.
Does anyone really want air hand-dryers around? I mean, they’re loud and they don’t work. You might as well have a sign that says “dry your hands off on your clothes."
When you don't know what you're doing, do a lot of it
This a good, correct framing of the AI project failure stuff. No one really knows what will work and what they’re doing yet. As we learned in the digital transformation craze of the 2010’s, this means failure == learning. And learning is what you need to do a lot of.
More so, this kind of rapid learning, innovation, and sense making is exactly what a platform like Tanzu Platform with Cloud Foundry is excels at, and has a long, proven history of supporting.
Look at this busy lil' fella!
Claude Code for things that are not code - Claude Not Code
Claude Code is being utilized beyond coding, particularly for analyzing and reformatting plain text notes, suggesting that AI may emerge as standalone applications rather than being integrated into existing software.
Anthropic Economic Index report: Uneven geographic and enterprise AI adoption - 🤖: “Enterprise deployment via Anthropic’s API exposes a different facet: businesses adopt AI programmatically to automate. 77% of API usage is automation-dominant, particularly in coding, debugging, office administration, and recruitment. Surprisingly, firms are not especially price-sensitive; higher-cost tasks see higher adoption if they deliver economic value. Yet complex, high-impact deployments are constrained by context—firms need to restructure data flows and centralize knowledge to fully unlock AI potential. Without this, sophisticated tasks remain underutilized, delaying broader productivity diffusion."
“My phone -and I realise this is mildly absurd – is a constant slight disappointment to me. But I’m from the generation that thought we’d have the world on our wrist.” W.E.
“A man who had over the course of a week absorbed, as by osmosis, the Spirit of the Internet. And that is a foul, foul thing.” a slightly embarrassed announcement