Smac 2.0 Jun 2026

smac = HPOFacade(scenario, train_model) incumbent = smac.optimize()

Ready to move from SMAC 1.0 to 2.0? Do not rip and replace. Follow the "Strangler Fig" pattern.

: SMAC 2.0 marks a transition from individual software deployments to delivering holistic digital experiences Tuni.fi . smac 2.0

scenario = Scenario(cs, n_trials=100, min_budget=0.1, max_budget=1.0)

https://automl.github.io/SMAC3/main/ Paper: "SMAC 2.0: A Versatile Hyperparameter Optimization Framework" (Lindauer et al., 2022) smac = HPOFacade(scenario, train_model) incumbent = smac

Fire your static BI tools (metaphorically). Invest in a real-time feature store and a decision engine. Start with a low-stakes operation (e.g., "automatic meeting scheduling based on sentiment analysis") to train your team on handing over control to the machine.

It is tempting to view SMAC 2.0 as a dystopian, fully automated hellscape. It is not. While the execution becomes autonomous, the strategy remains deeply human. : SMAC 2

This requires moving from REST APIs to event-driven architectures (like GraphQL federations and WebSub). The Mesh is the opposite of a central database; it is a negotiation of truth across many nodes.