Getting Started & Migration
What common mistakes happen in the first month post-migration?
Commonly observed first-month mistakes include skipping side-by-side testing and neglecting to account for retry behavior differences. Teams often overlook unhandled external service failures, leading to unexpected workflow loops or duplicated work. Failing to align state between old and new engines leads to inconsistent output across platforms. Keep in mind that durable execution does not provide exactly-once delivery semantics, so plan for duplicate task handling in your workflows.
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- Getting Started & Migration
What does a minimal but realistic durable agent look like when I first run Catalyst locally?
A realistic durable agent prototype that progresses from a call to an LLM through a conditional action to an API, illustrating automatic state persistence.
- Getting Started & Migration
How do I iterate quickly on durable agent logic without deploying to a shared cluster?
Use a local Dapr sidecar to execute and debug agent workflows, enabling a fast edit-run-debug cycle without remote dependencies.
- Getting Started & Migration
My agent is already built with LangChain/LlamaIndex. Can I add durable execution without a rewrite?
Wrap an existing agent’s entry point in a Catalyst workflow to gain durability without modifying framework internals, then progressively refactor.
