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What backlog tasks would you trust an AI engineer to fully execute today?

We re building Ovren, an AI engineering execution product for real backlog work.

Instead of just suggesting code in an IDE, the goal is simple:

  • understand an existing codebase

  • take a scoped frontend/backend task

  • make the code changes

  • return reviewable, production-ready updates

Curious where people draw the line today:

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