Building & leading Azure dev tools @microsoft — azd, @code, @azure, and the DevEX layer. @OpenJSF Board. Husband, father. Opinions usually wrong, but mine.
.@satyanadella just put the whole "water" debate to rest.
Datacenters run on a closed loop cooling system, the water usage of a datacenter for an entire year is roughly equivalent to a usage of 1 restaurant!
Check out the new aspire skills repository!
https://t.co/YOw3IUh58T
Learn more about them here:
https://t.co/5UI04Nd6kq
There are skills to add aspire to any existing application or deploy to any supported target!
Try them out!
#aspiredev
waza: Go CLI for AI agent skill evals. v0.9.0 adds A/B baselines, pairwise judging, tool-constraint graders, and auto skill discovery. CLI or azd extension.
Star it if you're building skills and want to track where this goes.
https://t.co/BeHptuwPIh
Useful AI skill loop:
waza init
define YAML test cases
waza run --discover
Three commands from zero to a benchmarked skill. Low enough setup to use early, not after a week of wiring.
What's the first skill you'd benchmark?
https://t.co/BeHptuwPIh
Working on Aspire 13.4 to use the new aspire-skills repo:🚀 thanks for the collaboration @spboyer: AI agents + AppHost guidance = distributed apps that don't need a support ticket after deployment. you're welcome 🤓
https://t.co/QlJGxSFNDj
#aspire@aspiredotdev
@ileppane@Yif_Yang Agree with the complimentary @Yif_Yang mentions here. I also built Sensei a while back for skill improvement, token optimization and compliance. https://t.co/ieGlCDiiaV
Most eval frameworks make you fit their shape.
waza auto-discovers skills with --discover, defines suites in YAML, and lets you plug in custom graders or tool constraints for your domain.
What's the eval you wish existed but doesn't?
https://t.co/BeHptuwPIh