The Case for Language-Native Software
TLDR
The author argues that the software industry mischaracterized the importance of natural language AI by focusing on conversational interfaces when the real capability is language-native systems that accept user intent in plain language and execute deterministic operations. The distinction matters because conversation is just one mechanism for clarifying intent; most valuable interactions—like querying business intelligence, scheduling, or financial planning—require language understanding but not dialogue. Future software architecture should separate intent determination (where ambiguity is acceptable) from execution (where determinism is essential), treating natural language as a programming interface rather than a chat interface.
Why it matters
Natural language is becoming an interface as software begins to understand instructions in human language. Language-native software will accept intent in the language users already speak, translate it into structured operations, and execute them deterministically, making language the interface itself.
