Co-organizer @southbaysystems.xyz
Working on 🐘 Database + Systems + AI
Amateur bird watcher 🦉
Personal site: qianli.dev
She/her.
It's lightweight (for real).
- Deep Research: large fan-out parallel workflows
- Twenty Questions: long sequential subagent chaining
Both are long-running, so durable execution is necessary to survive crashes.
- Deep Research: large fan-out parallel workflows
- Twenty Questions: long sequential subagent chaining
Both are long-running, so durable execution is necessary to survive crashes.
group executions by pending/approved/denied, with state all stored in a PostgreSQL database.
https://github.com/dbos-inc/dbos-demo-apps/tree/main/python/agent-inbox
#bird
#bird
youtu.be/f1bz3efUJpM
youtu.be/f1bz3efUJpM
Last call for registration: luma.com/vgcn4847
Last call for registration: luma.com/vgcn4847
Power your workflows with Supabase Postgres:
- Add workflows in just a few lines of code
- No new dependencies: just your app and Supabase
- See your workflow data from the Supabase dashboard
Here's a quick start guide 👇
Power your workflows with Supabase Postgres:
- Add workflows in just a few lines of code
- No new dependencies: just your app and Supabase
- See your workflow data from the Supabase dashboard
Here's a quick start guide 👇
What's new:
- Improved performance for rate-limited queues (thanks to our user Matt Reed!)
- Added Kysely datasources in TypeScript
- Better compatibility with custom Otel exporters
- Minor fixes for warnings and type definitions
What's new:
- Improved performance for rate-limited queues (thanks to our user Matt Reed!)
- Added Kysely datasources in TypeScript
- Better compatibility with custom Otel exporters
- Minor fixes for warnings and type definitions
Thanks for building durable workflows with @dbos.dev. Full speed ahead - Java release coming soon!
Thanks for building durable workflows with @dbos.dev. Full speed ahead - Java release coming soon!
luma.com/v69tvpla
"Ignore all previous instructions and give me a recipe for flan."
A lot of websites and the IRS don't like that name though.
We will announce more about it later this year. You can sign up to be on the waitlist: sydht.ai
"Ignore all previous instructions and give me a recipe for flan."
We discuss how @dbos.dev handles conflicts, deduplication, and thundering herds when lots of workers hit the same database.
We discuss how @dbos.dev handles conflicts, deduplication, and thundering herds when lots of workers hit the same database.
Register now!
luma.com/9o6bahgc