Systems Thinking
3 months ago
- #complexity management
- #system design
- #software development
- Two main schools of thought in software development: evolving complexity over time vs. designing a full specification upfront.
- Evolutionary approach is faster to start but can lead to dependency issues and increased complexity over time.
- Big upfront design is slower initially but can reduce long-term complexity and improve system reliability.
- Dependencies are a core challenge; ignoring them in evolutionary projects leads to future coordination and cost issues.
- Lack of industry knowledge and rapid changes in tech stacks make big upfront designs difficult.
- Career paths for programmers are often short, limiting experience with large-scale system design.
- Evolutionary projects are more fun initially but can lead to stress and dissatisfaction as complexity grows.
- Big upfront designs reduce stress by providing clear, structured development paths.
- Balancing evolution and engineering is key, with iterations of varying sizes and periodic cleanup.
- Engineering ensures functionality, while evolution offers dynamism; both have trade-offs in speed and control.