Comment by Soerensen

Comment by Soerensen 10 hours ago

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The TypeScript + MongoDB combination for AI coding is a smart architectural choice. I've found that schema-less databases reduce the class of errors agents struggle with most - the migration/schema drift issues that require understanding of state over time.

Question: How are you handling the built-in auth when users want to extend it? For example, adding OAuth providers that aren't pre-configured, or custom claims/roles logic. Is this something the framework supports as extension points, or would users need to fork/modify core auth code?

The Claude Agent SDK integration is interesting - have you found specific prompting patterns that work better for TypeScript generation vs other languages? Curious if the type system actually helps agents self-correct as expected.

artahian 10 hours ago

Great questions:

- For extending auth, currently the framework contribution is the main option, but we've intentionally made everything modular so we will be making it extensible with custom external packages as well (or even directly in your app without a package).

- Our system prompt actually doesn't have anything TypeScript specific (only Modelence specific instructions). But the typing system is literally a miracle - the success percentage from a single prompt went from about 30% to 90%+ just by adding the type checks for the agent. It is surprisingly good at self-correcting, to the point that even when it lacks context it ends up going into the framework code itself from node_modules to find the right usage.

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