Building Tools with AI Agents vs. AI Agents as the Tool
There is a strategic difference between using AI agents to build better tools and making the agent itself the product interface.
Longer-form essays on AI agents, product strategy, context, and quality judgment.
There is a strategic difference between using AI agents to build better tools and making the agent itself the product interface.
Vibe coded systems often drift because the context guiding future changes falls out of sync with the code.
For AI-assisted development, a monorepo can be useful because it pools related project context in one visible, versioned place.
Persistent AI memory should be turned on for a clear reason, because repo context is often a better source of truth for Codex-style software work.
AI makes code easier to regenerate, so the durable value is less often the code itself and more often the context, data, trust, and execution around it.
AI agents make fast and cheap easier, but they make human judgment about what counts as good more important, not less.
Why this proof of concept starts with Astro instead of a more opinionated digital-garden generator.
A practical framework for evaluating whether a SaaS product can survive when customers use AI agents with their own data and context.