Dev.to
5/11/2026

Software Moats in the Age of AI: What's Actually Defensible?
Short summary
AI accelerates greenfield development but hits hard limits in enterprise brownfield systems, where codebase scale, context windows, and institutional knowledge create friction. Lasting competitive moats emerge from domain expertise, tribal knowledge of integrations, legacy-language insulation, and vendor trust—not raw coding ability. Vertical software companies with decades of accumulated business logic remain defensible.
- •AI excels at greenfield but struggles with large brownfield codebases, legacy languages, and undocumented business logic
- •Domain expertise, integration knowledge, and institutional memory create lasting competitive moats beyond raw coding
- •Vendor trust, regulatory liability frameworks, and vertical specialization remain defensible advantages in enterprise software
Generated with AI, which can make mistakes.
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