Ah the joys of traveling. Due to strong winds, my flight MAD-LCG does not even attempt landing in LCG, tries SCQ and finally back to MAD
14.02.2026 09:09
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Ah the joys of traveling. Due to strong winds, my flight MAD-LCG does not even attempt landing in LCG, tries SCQ and finally back to MAD
Playing with 🧲 @CERN 100m underground #VoxxedDaysCERN
Things that happen at #FOSDEM. Met Daniel Stenberg @bagder.mastodon.social.ap.brid.gy the cURL creator
Astrological CPU Scheduler. Makes real CPU scheduling decisions based on real-time planetary positions, zodiac signs, and astrological principles. "Because if the universe can influence our lives, why not our CPU scheduling too?" 😆
github.com/zampieriluca...
I'll be speaking at @FOSDEM.org Testing and Continuous Delivery room again next Sunday, showing how to use AI Agents with Kubernetes and Argo Rollouts for Self-Healing Rollouts
All of this just took less than an afternoon in total, and with Antigravity browser I could ask Gemini for design changes, fixes, etc and it would go and grab the screenshot to analyze.
Sources: github.com/carlossg/tri...
And then I went down the rabbit hole and added better statistics (flights by year/month/airline), flight visualization (like Jetlovers) and countries visited (like Been), but all automated from the Tripit data.
You can try it with sample data at tripit.csanchez.org/For your own data you need to ask Tripit for an export of your data (thanks GDPR). Your data never leaves your browser.
Spend some time this holiday building a Tripit data visualization site to play with Google Antigravity. As they killed the API I wanted to ensure I could keep my trip history
I’ve been testing Google Antigravity, and the shift from "Co-pilot" to "Manager" is here. 🚀
Unlike traditional AI editors, Antigravity focuses on autonomous missions. My favorite part? The Browser Integration. It’s a game-changer for visual debugging. blog.csanchez.org/2026/01/15/m...
Another year, too many talks 🙈 @sessionize.com
This was already a problem with low latency dynamic changes (ie. infra updates due to user actions). We solved it by dispatching the changes to the clusters and git at the same time. This could be done with agent instructions but it would be brittle
I was listening to @darinpope.bsky.social @vfarcic.bsky.social about the relevance of GitOps in the age of AI and I still see value on git tracking, but we need a mechanism to merge changes in the cluster made by Agents back to git (or any other backend) and drift detection
Ahu tongariki
This place is surreal
#rapanui #easterisland
adobe principal scientist summit badge
adobe headquarters bridge at night
adobe headquarters office at night
Doing Science! @adobe headquarters
"The threat actor—whom we assess with high confidence was a Chinese state-sponsored group—manipulated our Claude Code tool into attempting infiltration into roughly thirty global targets and succeeded in a small number of cases" www.anthropic.com/news/disrupt...
Another great quote "Progressive Delivery: delivering what users need when they need it at the least cost and risk to everyone involved"
play darts win a car
I think we have found the #kubecon swag winner @minimus.io
"El Seguro" helping at the #kubecon keynote 😂 @puerco.mx @staceypotter.bsky.social
66% @Kubernetes.io users are using the Argo Project @argoproj.bsky.social #kubecon #argocon #kubernetes
Crazy weather for #kubecon. From 22c yesterday to 5c today.
At least I got here before flights started to get cancelled
Beautiful sunrise in Atlanta, GA
Not the worst sunrise to get a busy day started at #KubeCon #CouldNativeCon co-located events day! Looking forward to my session with @csanchez.org about autonomous AI driven rollout fixes at #ArgoCon this afternoon. If you're around, make sure to stop by and say hi 😃. #Atlanta
A small detour on the way to #kubecon
boarding pass capture with SSSS text
The dreaded 4x Security check by American Airlines 🙀 4x safer now 🙈
No, but yes, it is spec driven development
If done at the end of the day, I will have the results next morning. Review and iterate on the results
Profit!
Then ask Cursor to split it, given that GitHub Copilot has a limit on how long it runs.
Ask Cursor to create a GitHub issue for each chunk and assign to Copilot, using GitHub MCP
Describe the problem at the high level with some bullet points
Ask Cursor to create a plan, iterate on it until plan looks good
My current AI assisted development workflow:
* start from some high level ideas
* ask cursor to create a plan
* human review of plan
* Cursor to split plan in chunks and create a GitHub issue for each and assign to Copilot
* human review of PRs
