First Principles

No Change
adopt
First Added:June 22, 2026

First principles thinking breaks a problem into truths you cannot deduce further, then rebuilds a solution from those foundations. We adopt it for Software Architecture and design review when inherited patterns no longer match constraints. It is the forward-looking counterpart to Five Whys in blameless postmortems. Still assess each decision before applying the method by rote outside design work.

Blurb

A first principle is a basic proposition or assumption that cannot be deduced from any other proposition or assumption.

Summary

Use first principles when a design copies industry defaults (“always microservices”, “always one Terraform module”) and cost, latency, or ownership no longer fit. The goal is not novelty for its own sake. The goal is to name constraints that must stay true, then pick a shape that satisfies them.

ContextGarden stance
Design and architecture reviewsAdopt as the default reasoning method
Ops, hiring, tooling, one-off tasksAssess before investing deconstruction time
Mature pattern with known trade-offsReasoning by analogy is often enough

Assumptions section: Add an explicit Assumptions block to design docs. Use it to open review conversation. If reviewers debate an assumption, it is not a first principle yet. Deconstruct until the team agrees on bedrock constraints, then rewrite the design if needed.

Sibling techniques: Five Whys and Fishbone diagram trace failures backward in postmortems. First principles trace forward when you still control the shape.

Details

Design Review Checklist

  1. List constraints the solution must satisfy (latency, blast radius, compliance, team ownership).
  2. Write Assumptions separately from constraints. Assumptions are hypotheses; constraints are non-negotiable unless disproven.
  3. In review, challenge any assumption that draws debate. Convert surviving items into first principles or remove them.
  4. Rebuild the proposal from the agreed principles. Name Design Pattern choices only after the shape is clear.

When Not to Use

  • Small, reversible changes with known precedent
  • Decisions where time-to-ship matters more than architectural purity
  • Problems better served by empirical measurement than upfront deconstruction

Related Notes