gvdongen

6 ms·

1. 1.▲
   Agent checkpointing is far from production-grade resiliency(restate.dev)

   3 points by gvdongen 3mo ago|1 comments
2. 2.▲
   by gvdongen 3mo ago

   As agents run longer and spend more money, many agent frameworks are adding resiliency features like checkpoint recovery and pause-resume approvals. But to get your agent to production, checkpointing is not enough. There is quite a big gap
3. 3.▲
   Updating AI Agents safely in production(restate.dev)

   1 points by gvdongen 6mo ago|1 comments
4. 4.▲
   by gvdongen 6mo ago

   AI agents often run for minutes, hours, or even days. This makes deploying new versions tricky: what happens if an agent starts on one version of your code and resumes later after you’ve deployed another? If you swap out code from under an
5. 5.▲
   by gvdongen 2y ago

   We've used purely excalidraw. Nice to hear you like them!
6. 6.▲
   by gvdongen 2y ago

   Here is a fan-out example for async tasks: https://docs.restate.dev/use-cases/async-tasks#parallelizing... First, a number of tasks are scheduled, and then their results are collected (fan-in). This probably comes clos
7. 7.▲
   by gvdongen 2y ago

   Here is another example in the examples repo which does compensation. There is also a Java one https://github.com/restatedev/examples/blob/main/basics/basi...