Design an e-commerce search flow that uses LLMs for query understanding without making every request wait on them. Build offline enrichment, hybrid retrieval, tiered caching, fallback routing, ranking, and quality gates for relevance and latency.
Plan an incremental Java monolith migration that gives services real ownership. Separate data, define stable APIs and events, limit shared libraries, place gateways between clients and services, and add the testing and operational practices needed before independent deployment becomes useful.
Build a daily Java delivery workflow that reduces merge conflicts, keeps formatting consistent, makes code reviews focused, uses pair programming where it adds value, and prevents technical documentation from drifting away from the implementation.
Refactor a fragile Java shipment workflow in small, behaviour-preserving steps. Extract readable methods, move logic to the right objects, replace primitive values, remove null checks and side effects, simplify conditions, and make future delivery options easier to add.
Refactor a fragile Java checkout workflow where duplicated rules, long methods, primitive values, repeated switches, and an oversized service force one business change across many files. Learn how to recognize the smells, move behaviour to the right objects, and reduce each future change to a focused edit.
Learn how to redesign a fragile Java reservation workflow so that intent is clear, invalid states are harder to create, dependencies are replaceable, and future changes do not spread across unrelated classes.
Learn how to improve a risky Java payment integration without mixing refactoring with feature work, breaking existing behaviour, or forcing a large rewrite. The tutorial covers impact analysis, risk assessment, incremental design changes, Branch by Abstraction, verification, and the decision between refactoring and rewriting.
A C# service can compile while still hiding swallowed exceptions, leaked file handles, and overly complex methods. Build a practical pull request quality gate with focused refactoring, specific exception handling, deterministic disposal, code metrics, repository-level analyzers, and build failures for rule violations.
Refactor a booking workflow that mixes object construction, provider selection, media loading, and notifications. The solution applies Builder, Factory, Proxy, Command, Publisher/Subscriber, and dependency injection only where each pattern removes a specific maintenance problem.
Learn how to split conflicting customer concepts into bounded contexts, model business rules with aggregates and value objects, and use Onion Architecture, repositories, CQRS, and domain events to keep a growing .NET system maintainable.