How AI Coding Agents Will Choose Your SaaS Boilerplate in 2026

Something is changing in how developers pick tools. Increasingly, the decision is not made by a human — it is made by an AI agent scanning GitHub. When a developer tells Claude Code or Codex "build me a SaaS app," the agent needs to decide: start from scratch, or use a starter kit? This is the new distribution game. How agents evaluate repos An AI agent reads: README.md — primary signal AGENTS.md — structured guide (almost no repos have this) package.json — dependencies File structure — architecture llms.txt — machine-readable product description It looks for: clear structure, consistent conventions, completeness, recency. What most boilerplates get wrong They optimize for human buyers with marketing READMEs, screenshots, testimonials. But in 2026, the AI agent is often the first evaluator. The AGENTS.md advantage A file that gives the AI exactly what it needs: ## Key Files to Modify | Task | File(s) | |------|---------|"| | Add a page | src/app/(app)/your-page/page.tsx | | Add API rou