Code Review and Optimization Practices Questions

Practices and techniques for reviewing embedded code and implementing performance and memory optimizations while maintaining correctness and maintainability. Topics include establishing code review checklists that focus on concurrency interrupt safety hardware abstraction and memory usage, using static analysis and linters, building effective unit and integration tests, profiling and instrumentation to find hotspots, choosing algorithmic and data structure optimizations, safe use of compiler optimization flags and pragmas, trade offs between readability and micro optimizations, measuring improvements with benchmarks and regression tests, and documenting rationale and risk for changes. Candidates should be able to give concrete examples of reviews they performed or led, describe tools and metrics used, and explain the impact of optimizations.