Shipping AI Infra: Interfaces Before Optimization
A recurring lesson from infrastructure work: teams often jump to throughput and benchmark tuning before alignment on interfaces.
For retrieval and indexing systems, that order usually backfires.
The highest-leverage sequence is:
- Define clear producer/consumer contracts
- Make rollout states and ownership explicit
- Add observability around data quality and failure modes
- Then optimize performance hotspots
Why this works: once interfaces are stable, every optimization compounds. Without stable interfaces, each optimization can be invalidated by upstream changes.
Fast systems are useful. Predictable systems get adopted.