Barret Schloerke
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schloerke.com
Barret Schloerke
@schloerke.com
Open source #rstats + #python + data + web
Shiny dev at @posit.co

github.com/schloerke
schloerke.com
promises 1.4.0 is out! 🚀

* New `hybrid_then()` seamlessly handles both sync & async expressions
* Add side effects to your promise chains with `then(tee=TRUE)`
* OpenTelemetry tracing support

install.packages("promises")

Details: rstudio.github.io/promises/new...
Changelog
rstudio.github.io
October 22, 2025 at 2:45 PM
For the #parents and #ai users…
Does your parenting style match your AI management style?? 🤔🤔

* Do you limit the _client_ to small/manageable tasks?
* Do you let the _client_ fumble a few times before guiding it to the intended goal?
* Should your _client_ always clean up after itself? 🧺😆
September 18, 2025 at 6:14 PM
Thank you for attending the #PositConf2025 Shiny session and all of your great questions! I'm excited to see the @opentelemetry.io integrations improve over time 🎉

🗣️: Observability at scale: Monitoring Shiny Applications with OpenTelemetry
🐙: github.com/schloerke/pr...

#RStats #RShiny
September 17, 2025 at 6:15 PM
{otel} + #rstats is becoming a crazy partnership.
This project has driven me to use/write {promises} in ways that makes my 🧠 ache 😅. The reward is worth it!

See you at #PositConf2025 where I'll talk about this in more detail
More #rstats + OpenTelemetry news: @schloerke.com finally got all of the async issues in {ellmer} and {shiny} sorted out and tracing now works!

Here's what combining {shiny} + {ellmer} + {httr2} + {mirai} + {otel} looks like today.

(All credit for the screenshots to @schloerke.com.)
September 10, 2025 at 7:13 PM
Slides from my #ShinyConf talk earlier today: "AI Kung-Fu 🥋: Training your LLM client in two function calls"

github.com/schloerke/pr...

Thank you @appsilon.bsky.social for hosting such a great event!

#pystats #pyshiny #python #ai #rstats #rshiny
GitHub - schloerke/presentation-2025-04-10-shinyconf-ai-kung-fu: AI Kung-Fu 🥋: Training your LLM client in two function calls
AI Kung-Fu 🥋: Training your LLM client in two function calls - schloerke/presentation-2025-04-10-shinyconf-ai-kung-fu
github.com
April 10, 2025 at 8:29 PM
Reposted by Barret Schloerke