Everyone's banging on about loops When they should be thinking about queues

Over 9,000 engineering teams use @greptile to process millions of AI code reviews daily. We're proud to power the orchestration engine underneath to deliver real-time visibility across every workflow. Many thanks to @soohoonchoi for sharing what it's like to use Hatchet! 💙

We've updated the @hatchet_dev landing page... again. Why? In 2026, we've nearly doubled usage and revenue on the platform. We've also seen lots of new use cases and patterns when companies are adopting Hatchet, which we needed to better illustrate. In particular, platform teams are using Hatchet to provide a set of guardrails for their product teams building AI workloads at scale (data ingestion and AI agents, especially). We've seen platform teams take the primitives that Hatchet provides, like tasks, streaming, and observability, and compose them into more complex patterns. As always, feedback is welcome.

bro who tf named their company "hatchet"

We just published a guide for teams moving from Celery to Hatchet, including common Celery patterns, the Hatchet replacements, and what to watch out for.

🌟 Today, we are releasing Google’s open source distributed agent runtime. Agent Executor (AX) is a general purpose runtime and aims to solve dynamic scheduling, resumption, auto recovery, auditing, and trajectory branching from kernel snapshots in agentic workloads.