Explore the integration plans for rustc-chalk and gain insights into its code implementation in this comprehensive hour-long talk. Delve into key concepts such as the chalk engine, answer tables, search strategies, and unknown types. Learn about size bounds, strands, initial filtering, and the inference context. Understand the role of the iterator aggregator and get an overview of the chalk engine's big picture. Examine sub fulfillment contexts, side effects, buzz scope, and canonicalization. Investigate the trait engine, goal evaluation, environments, and traits code lowering. Discover the forest caching system, lazy normalization, and trait overview. Explore hook programs, program clauses, strand generation, and the lowering steps involved in the chalk engine's answer process.