OpenAI Codex launches Record & Replay

// 2h agoPRODUCT UPDATE

OpenAI Codex launches Record & Replay

OpenAI's Codex 26.616 update introduces Record & Replay, a feature that automatically compiles manual user actions into reusable skill packages. This coincides with a new paper detailing the limits of automated trajectory mining for agent policy optimization.

// ANALYSIS

Hot take: Direct demonstration via Record & Replay is currently far more viable for agent optimization than unsupervised trajectory mining, which fails to reliably transfer to new domains.

–Record & Replay simplifies agent teaching by recording human actions on macOS and converting them into a structured SKILL.md format.
–Trajectory mining can produce highly readable clusters (achieving up to 95% purity against human benchmarks) but lacks policy transferability.
–The research paper highlights that orderless segment representation and weak offline reward models are major bottlenecks for automated skill generation.
–The SKILL.md standard continues to grow as the default cross-platform format for packaging and steering AI agent behaviors.

// TAGS

openaicodexskill.mdagentsmachine-learningtrajectory-miningautomated-skill-generation

DISCOVERED

2h ago

2026-06-19

PUBLISHED

2h ago

2026-06-19

RELEVANCE

8/ 10

AUTHOR

omarsar0

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