Problem
Technical writing often arrives after the implementation. It becomes a changelog of what happened rather than an explanation of why the design exists.
Summary
An engineering article is an interface. It should answer the same questions a good API does: what problem does this solve, what assumptions does it make, what are the trade-offs, and where can someone safely begin?
For an interface with $n$ public entry points, a useful review heuristic is $C = n \times a$, where $a$ is the number of assumptions a newcomer must reconstruct.[^clarity]
C = n \times aThe same relationship is written as [Equation 1](#eq:interface-complexity) when it needs to be referenced from a later decision record.
[^clarity]: This is a writing heuristic for discussing complexity, not a measured engineering metric.
A reliable article shape
| Section | Reader question | Result |
|---|---|---|
| Problem | What is actually difficult? | Context without noise |
| Architecture | What are the moving parts? | A mental model |
| Implementation | What is the concrete approach? | A path to action |
| Trade-offs | What was deliberately not chosen? | Trust and clarity |
Implementation
Use stable headings. Write the summary before the deep dive. Keep code examples short enough to explain one idea, then link to a project or repository for the complete source.
export function publishRecord(record: EngineeringRecord) {
return { ...record, status: "public", updatedAt: new Date().toISOString() };
}
flowchart LR
A[Authored MDX] --> B[Content validation]
B --> C[Static article]
C --> D[Reader and crawler]
Conclusion
When the format stays predictable, readers can spend their time on the engineering rather than on finding the engineering.