October 1, 2026
Embed model decisions in code: Jev skips text responses and parsing
Jev plugs directly into application logic, skipping the intermediate LLM text response.
CodeRabbit
@coderabbitai
Your agent doesn't know Jev. In most programs, LLM calls take the long route: state → prompt → text → parsing → if condition Decision-making models like Jev skip the text stage and plug into your logic. Here's 30 minutes with @allietheicon from @typesafeai on how to use Jev in development.
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In a typical LLM call, the developer turns the application's state into a prompt, receives text and parses it. Only then does the code choose a conditional branch.
Jev is a decision-making model: it skips the text stage and plugs into the program's logic.
CodeRabbit's half-hour walkthrough with @allietheicon from @typesafeai covers how to work with Jev.