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Pi Durable kept two autonomous maintainers working for four days, including through an upgrade of Pi itself. With no real demand, they wrote their own issues and merged 693 pull requests.
CLM reads the situation and each option separately and picks the closest one. It is fast when the options repeat, and weak when the sentence needs nuance.
The tables make Jev and Laya winners on different slices. The choice depends on where labels are defined and how much labelled data already exists.
Laya is a non-autoregressive decision model under Apache 2.0. It trades the convenience of a hosted API for control over running, evaluating, and specializing the model.
Jev trades text generation for typed decisions with probabilities. The idea works when the answer space is closed, the question is narrow, and code stays in control.
The next wave is not just writing code with a copilot. It is coordinating supervised agents, context, tests, and boundaries across the entire development lifecycle.
When an agent is allowed to act too broadly, the risk is not only leakage or abuse. It also becomes hard to operate: it works outside scope, repeats actions, burns budget, and fails without a clean way back.
You have probably experienced this: one moment, GPT or Claude solves a complex coding problem in seconds; the next, the same AI forgets basic context or invents nonexistent information.