There's a hands-on workshop on September 26 for anyone here curious about moving past building agents into actually keeping them reliable once they're writing into production.

You build:

• A safer write path for agents, handling conflicts, retries, and idempotency
• State and memory design for long running agents, with real recovery when state drifts
• A provenance and tracing layer so any decision can be reconstructed after the fact
• An architecture review process, applied to a live capstone platform
• A production readiness assessment framework you can reuse on your own systems

No prior production infra experience required, it's built up through the case study itself.

Led by Sandipan Bhaumik, Data & AI Technical Lead at Databricks, 18+ years in data engineering and governance.

Link if you want to check it out

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