AI coding agents can't replace engineering decisions for scalable software
bendee983 · x · 2026-09-01
- Core Argument: Letting AI agents generate more code is not a recipe for success. Software engineers must still make decisions on architecture, scalability, and maintainability.
- Data Limitations: Without specifying future expansion needs or user load, AI defaults to the average of its training data, which does not reflect software at scale.
- Engineering Value: AI solved the coding bottleneck, but sound engineering is required for anything beyond hobby projects. The focus shifts to reviewing AI's high-level approach and design choices.
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