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If you missed the Stack Overflow episode on how durable execution makes AI more reliable, you can catch the replay here.

What makes building an open-source project special is seeing a community grow around it. That’s why I love our monthly user groups, to meet the community and learn what people are building with DBOS. Thursday, we’ll hear from Alp 🏔️ on building high-performance AI agents with

Did you know you can use AI to build durable, crash-proof Python applications that automate workflows? Just drop the code block into your AI-powered IDE or paste it into ChatGPT, Claude, Anthropic, or your platform of choice. Try it out: docs.dbos.dev/python/prompti…

I wrote a tutorial on integrating DBOS with Logfire. It's super easy to set up (kudos to the Pydantic team!) -> just a few lines to configure the exporter and your Logfire write token. Once it's running, you'll get a unified view of your app with logs + traces in one place.

DBOS Supabase This is nice. Love DBOS approach.

This is huge. I am a big fan of DBOS and seeing it supported in Supabase is amazing!

When reliability is built in, devs can focus on solving real problems instead of managing infra. Hear what Cameron Spiller from Soria Analytics has to say about it.

Really proud of the work Harry Pierson and the team have done in releasing DBOS Java today! DBOS Java brings lightweight durable workflows to Java. Workflows make your program durable by checkpointing its state in Postgres. If your program ever fails, when it restarts all your

Our user group virtual meetup will be in half an hour! What's special today is that you'll hear how Goblins uses DBOS + PlanetScale for agent AI math tutoring - and Holly Guevara will talk about PlanetScale Postgres. Last call for registration: luma.com/vgcn4847

The truth about AI solutions? Too few of them are in production. That's why I will present at an in person event in San Francisco how to design, ship and scale your AI workflows and agents that actually work in production. It will be a quick, but packed event, hosted by Stephen

When your async job never finishes… and Neo starts asking questions.

I came up with a Halloween idea: instead of "trick or treat", I'll knock on doors saying "trick or try DBOS"? 👻

It perfectly describes how DBOS works: "It's entirely based on Postgres and nothing else. It's almost as easy to use as a queue, but it handles scheduling and retries, and it does all of that without needing any other services to run in addition to Postgres." -- nice work

Most AI Agents Never Ship. Here's How We Did. Join me in SF to see how we scaled ZTRON to production with limited resources. I will present at an in-person event in San Francisco on how we designed, shipped, and scaled ZTRON, a vertical AI agent that I've been working on over

If you’ve ever wondered why your queue is filling up, this one’s for you. Cameron from Soria Analytics shares how DBOS’s Grafana dashboard helps them see every job, every queue, and fix stuck workflows before things go sideways.