Concurrency
Handle parallelism safely and avoid race conditions
Handle parallelism safely and avoid race conditions
Verify correctness early, often, and automatically
Use CPU, memory, and storage efficiently
Follow proven standards to reduce risk
Write clean, consistent, and maintainable code
Ship changes gradually, safely, and reversibly
Keep data accurate, consistent, and accessible
Ensure recovery and continuity despite failures
Keep settings flexible, secure, and versioned
Design to handle growth smoothly and predictably
Fail gracefully and informatively
Build systems that stay dependable under stress
Optimize for speed without sacrificing clarity
Create interfaces that are intuitive, consistent, and stable
Make systems measurable, debuggable, and transparent
Design with clarity, scalability, and resilience in mind
Protect data, access, and integrity at every layer