Ensuring Consistency in AI-Generated Codebases with OTF

UpdatedAugust 27, 2026

Lovable shipped a working SaaS dashboard in eight minutes. Cursor refactored a 40k-line monorepo overnight while the senior engineer slept. These aren't hypotheticals — they're what builders are shipping today, and the gap between "idea" and "running app" collapsed in 2025 in a way that genuinely surprised everyone, including the people building the tools.

The hard part isn't generation. The hard part is the day after.

When an agent produces 1,200 files in a single sitting, every subsequent edit needs to honor the same patterns. Agents are probabilistic. Ask Cursor to add a Settings page and you'll get a Settings page — and a new CSS approach, a new way to handle forms, and a shade of blue the rest of your app doesn't use. Not because the tool is bad.

This is an excerpt. Read the full post at otf-kit.dev/blog/ai-agents-vs-human-consistency — full-stack kits your AI coding agent can actually ship to production. Browse the kits →

#ai-tools #architecture #design-system

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