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Missing critical facts during coding tasks leads to systematic failures across multiple models, highlighting the importance of coherence in repository-scale coding agents.
Speculative tool calls can expose user intent before agents even commit, but new privacy contracts can effectively mitigate this risk.
Prevent unintended side effects from LLM agents with Atomix, a runtime that brings transactional guarantees to tool use.