singularity

singularity 🔎

• Programming languages, their features, readability, and interoperation
  • no room for favorites
  • support for explicitly defined data structures
  • strong static typing
  • isomorphism
    • native eg js
    • transpiled eg ts
    • generated eg kotlin

• Code reuse across platforms (server vs web vs mobile)

• Early error detection (compile-time vs runtime error detection, breadth of validation)

• Availability and cost of hiring the right talent; learning curve for new hires

• Readability and refactorability of code

• Approach to code composition, embracing the change

• Datastore and general approach to data modeling

• Application-specific data model, and the blast radius from changing it

• Performance and latency in all tiers and platforms

• Scalability and redundancy

• Spiky traffic patterns, autoscaling, capacity planning

• Error recovery

• Logging, telemetry, and other instrumentation

Reducing complexity

User interfaces and their maintainability

• External APIs

• User identity and security

• Hardware and human costs of the infrastructure and its maintenance

• Enabling multiple concurrent development workstreams

• Enabling testability

• Fast-tracking development by adopting third-party frameworks