Structured Codebases Are Key to Effective AI Coding, Experts Say

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Software engineer Tereza Tížková, speaking at the AI Engineer World's Fair, argued that AI tools amplify existing code quality rather than fixing underlying problems. She warned that deploying AI agents on poorly structured codebases will simply accelerate the production of bad code. The Factory team outlined eight pillars of an agent-ready codebase, including testing, documentation, security, observability, and a reliable build system. Notably, these same qualities also define well-maintained, scalable software for human developers, making the improvements worthwhile regardless of AI adoption. The talk reflected a broader shift in the industry away from hype-driven development toward disciplined, structured use of AI coding tools.

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