~/talk

Software Architecture for Humans!

slides:none on file

Argues that architecture succeeds only when it fits the people doing the work, offering a concrete model: compare system complexity to a team’s maximum capacity and either reduce dependencies or raise the team threshold by education. Demonstrates a real toolset: behavioral code analysis (Adam Tornhill) to find who changes what, debates static analysis vs autonomy, warns about gaming metrics with Gotthard's law, and proposes a requirements approach document listing trade-offs, experts, and concrete solutions instead of rigid micro-architecture rules.

AI-written summary · about

  1. 0:00Welcome and introduction
  2. 1:18What is software architecture?
  3. 2:00Why humans need architecture
  4. 8:54Optimizing dependencies isn't enough
  5. 10:19Legacy systems and team knowledge
  6. 14:58Is legacy a social problem?
  7. 17:29Big ball of mud isn't always bad
  8. 22:27Who is a good developer?
  9. 26:41Complexity and developer praise
  10. 30:30Micro and macro architecture
  11. 37:42Requirements vs rules approach
  12. 42:59Inverse Conway maneuver limits
  13. 47:54Humans over org charts
  14. 49:19Conclusion and Q&A
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