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Design

Definition

Design coverage in this archive spans 4 posts from May 2016 to Jan 2026 and leans into practical engineering craft: interfaces, testing, and maintainable implementation details. The strongest adjacent threads are architecture, ai, and go. Recurring title motifs include ai-native, api, architecture, and patterns.

Key claims

  • The through-line is clarity first: simple designs that survive change beat clever abstractions.
  • The consistent theme from 2016 to 2026 is disciplined execution over hype cycles.
  • This topic repeatedly intersects with architecture, ai, and go, so design choices here rarely stand alone.

Practical checklist

  • Keep interfaces small, automate regressions early, and make operational assumptions explicit in code.
  • Start with the newest post to calibrate current constraints, then backtrack to older entries for first principles.
  • When boundary questions appear, cross-read architecture and ai before committing implementation details.

Failure modes

  • Abstracting before usage patterns are stable enough to justify indirection.
  • Treating style consistency as optional until quality and velocity both degrade.
  • Applying guidance from 2016 to 2026 without revisiting assumptions as context changed.

Suggested reading path

References

4 entries tagged “Design”

    AI-Native Architecture Patterns 2026: Production Guide · 7 min Production AI architecture patterns for gateways, retrieval, evaluation, fallbacks, cost control, and ownership. architecture ai patterns Architecting AI-Native Applications (Without the Delusion) · 7 min The architecture of an AI-native app is fundamentally different from bolting a model onto a CRUD app. Here is how I structure them -- with code, layers, and hard-won opinions. architecture ai design Your API Is a Contract You Can't Take Back · 4 min Hard-won lessons on designing HTTP APIs that survive real integrations, drawn from building fintech and mobility platforms. api design rest API Design Principles That Stand the Test of Time · 5 min Lessons from building the fintech startup's financial data API: the REST conventions that actually matter, the ones that don't, and why consistency beats cleverness every time. api rest design
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