TLDR Tech / AI
Continual Learning for Agents
Most production agents run on closed frontier models, so developers cannot update model weights and must focus instead on harness-level and context-level continual learning. To achieve this at Replit, the team built ViBench to evaluate functional app-building success from natural-language specs alongside Telescope, an automated system that clusters production failure traces into actionable issue groups.
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