61–70 of 298 posts
> "Where is the ROI for the 2 mio € we paid Anthropic last year?" The bias in the assumptions here is absolutely bonkers. Problem: GenAI is not generating any visible return on investment. "Solution": rearrange your entire development organization around the technology and start inventing new tooling. What's entirely obvious is that the point of such articles is not the stuff they purportedly discuss, but the normali…
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You could vibe yourself up an AMA tool where people can submit questions, an agent goes to work on them, then the question and agent answer sit in a queue waiting for you to provide a review and give your weigh-in.
I'm pretty sure this is the best idea I've ever heard of for this technology. You should build that tool and it should become mandatory throughout the tech world. Can we get some enabling legislation? A UN resolution perhaps?
The “get an immediate agent answer then a human expert’s fast-follow” is I think a great idea for many domains - imagine if you could get legal advice this way; the agent will have already explained the basics and the human expert just has to provide corrections - way less typing by humans.
Also, the corrections are now documented and could become future grounding for the agent.
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That already happens here. I am old dev who was the goto guy for people with certain business and technical questions. Not anymore (which is part good, as I'm interrupted much less, and part bad, as sometimes they regard the wrong answer as truth).
You could vibe yourself up an AMA tool where people can submit questions, an agent goes to work on them, then the question and agent answer sit in a queue waiting for you to provide a review and give your weigh-in.
In my large enterprise world, AI adoption hasn't made it outside of the development teams - only developers have access to Github Copilot. Code takes 6-12 months to make it from commit to production. Development speed was never the bottleneck; it's all the other processes that take time: infra provisioning, testing, sign-offs, change management, deployment scheduling etc. AI makes these post-development bottlenecks w…
The Theory of Constraints - AI Era
[0] https://en.wikipedia.org/wiki/Theory_of_constraints
[1] https://www.goodreads.com/book/show/113934.The_Goal
[2] https://www.goodreads.com/en/book/show/17255186-the-phoenix-...
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It kinda racks my brain how a lot of people don't think this way. For example, way before the current state of AI, I wrote my own CLI to make aspects of my job easier and easier to write scripts to automate; some colleagues have noticed my tool and said I should share it, and my diplomatically worded answer is no. I don't share it with anyone because of the negative return in both supporting it and everyone else bein…
What are your thoughts on open source? Seems like the same problem writ large
In my large enterprise world, AI adoption hasn't made it outside of the development teams - only developers have access to Github Copilot. Code takes 6-12 months to make it from commit to production. Development speed was never the bottleneck; it's all the other processes that take time: infra provisioning, testing, sign-offs, change management, deployment scheduling etc. AI makes these post-development bottlenecks w…
In my large enterprise world, AI adoption hasn't made it outside of the development teams - only developers have access to Github Copilot. Code takes 6-12 months to make it from commit to production. Development speed was never the bottleneck; it's all the other processes that take time: infra provisioning, testing, sign-offs, change management, deployment scheduling etc. AI makes these post-development bottlenecks w…
Great article. The part that stood out to me is the shift in how organizations define work. In the old model, performance and OKRs were anchored in disciplines, job titles, and role-specific expectations. In the AI era, those boundaries are starting to collapse. The deeper issue is psychological and organizational: people are constantly negotiating the line between “this is my job” and “this is not my responsibility.…
In my large enterprise world, AI adoption hasn't made it outside of the development teams - only developers have access to Github Copilot. Code takes 6-12 months to make it from commit to production. Development speed was never the bottleneck; it's all the other processes that take time: infra provisioning, testing, sign-offs, change management, deployment scheduling etc. AI makes these post-development bottlenecks w…