News for hackers. Stuff that matters.

jlaneve

Dane says Cloudflare has no service disruptions: https://x.com/dok2001/status/2095538619603628388?s=20
Re:Ask HN: Who is hiring? (September 2026) on Tuesday September 01, 2026 @11:37AM (#49523408)
Astronomer | https://astronomer.io | NYC preferably, open to remote | Full-time

Hiring for ~10 eng roles listed at astronomer.io/careers, but the focus is specifically on distributed systems, observability, and applied AI.

Astronomer is a primary contributor to Apache Airflow and offers our customers a managed Airflow service with a similar business model as Databricks with Spark or Confluent with Kafka. Our tech stack is primarily Go, Python, and TypeScript. The problems we work on generally center around (1) building out our commercial managed Airflow offering, (2) building a data + infra observability stack on top of Airflow, and (3) building AI products and experiences that are genuinely load-bearing and additive to our customers experience on the platform.

We're also starting to write more about the work we're doing, this is pretty representative: https://www.astronomer.io/blog/astro-airflow-re-engineered-f...

Apply using our website or email me - my email is [firstname]@astronomer.io. Include HN in the subject to make sure I don't miss it! If you're emailing me, please include your resume, GitHub and a short note on what you deem to be the most interesting thing you've worked on.

Re:Claude Code 500s on Tuesday March 17, 2026 @03:47PM (#47417355)
Just for Opus 4.6. I've switched back to Sonnet and it's working.
Re:Stop Building AI Agents on Wednesday July 02, 2025 @09:28PM (#44450704)
We’re seeing this all the time - taking traditional workflow orchestration tools and instrumenting LLMs as part of it. It becomes a lot easier to build these because the complexity comes from a) the model, which frontier labs are making easy and b) productionizing a workflow, which workflow orchestration tools make easy. It’s also easy to recognize value because these workflows are often grounded in existing work and thus easy to measure.

We see these patterns do much so that we packaged it up for Airflow (one of the most popular workflow tools)!

https://github.com/astronomer/airflow-ai-sdk

Re:LLM Memory on Wednesday July 02, 2025 @08:29AM (#44442937)

Older »