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The post describes an experiment implementing the software‑factory pattern: an AI‑driven loop that audits a Linear project, syncs goals from Notion, metrics from Datadog/Snowflake, creates and updates issues, and executes non‑blocked tasks. It shows how tying together a unified task tracker, observability data, and an orchestrated agent harness can keep projects aligned without manual state hoard…
RetireOPD introduces a self‑retiring on‑policy distillation framework for multi‑turn RL agents. A skill‑conditioned teacher is first trained with environment rewards, then a skill‑free student learns jointly via RL and token‑level distillation. The student automatically drops the teacher once its performance gap stops shrinking and it reaches a target success‑rate fraction, after which training c…
Android Bench 2.0 adds a set of long‑horizon tasks (multi‑day Android development problems) and introduces agent‑based evaluation. Scoring is now continuous, with the best model achieving a 28 % pass rate on these tasks, far lower than the ~91 % on earlier short tasks. The post lists new models on the leaderboard and points to updated methodology and GitHub repo.
