“visibility engine” Russell
The options we pass to FFmpeg in a variety of cases is now so complicated that I can’t really understand or edit it without AI.
Just image all the sed and awk script, the regex’s we can now all write effortlessly.
🔗 Manton
Speed is no longer a differentiator. Every team now has access to the same AI horsepower. Shipping fast is table stakes. What will separate winners is who can debug, adapt, and evolve when the AI-built foundation starts to crack.
MONKEYSHINE - “mischievous or playful activity : PRANK —usually used in plural” Merriam-Webster
Not sure what they do, but this is a great logo.
Infrastructure self-harm
That wasn’t what we hoped would happen when nearly 10 years ago we and others came up with these new automated technologies around Kubernetes. We thought we would make things easier, more automated, safer, more compliant. And instead, people seem to be getting more and more stuck. And that’s partly because systems have grown. We’re the victims of our own success. ….
A platform so easy to use that it needs another platform to make it usable…
”Extrapolating these results to the economy, current generation AI models could increase annual US labor productivity growth by 1.8% over the next decade. This would double the annual growth the US has seen since 2019, and places our estimate towards the upper end of recent estimates. ”
That last grebble apparently is for monitoring seismic activity to find geo-thermal power generation sites…?
“What do you think about Windows 8, Mary? Have you thought about it much?” 2012.
Make it so the robots can use your shit, or you might be irrelevant. At least, less so.
Platforms, tools or frameworks that are hard for large language models (LLMs) and agents to use will start feeling less powerful and require more manual intervention. In contrast, tools that are simple for agents to integrate with and well suited for the strengths and constraints of LLMs will quickly become vastly more capable, efficient and popular.
Do so by:
Is it simple for an Agent to get access to operating a platform on behalf of a user? Are there clean, well described APIs that agents can operate? Are there machine-ready documentation and context for LLMs and agents to properly use the available platform and SDKs? Addressing the distinct needs of agents through better AX, will improve their usefulness for the benefit of the human user.