Codex subagents: keep the main thread focused while working in parallel
Long coding sessions can produce an odd effect: the longer a conversation gets, the less consistent it becomes. Early work is clear and fast, but after reading the project, running tests, and analyzing logs, the agent starts forgetting requirements and giving less reliable suggestions. The model has not become less capable; its context has filled up. Two terms describe this problem: context pollution…
Long coding sessions can produce an odd effect: the longer a conversation gets, the less consistent it becomes. Early work is clear and fast, but after reading the project, running tests, and analyzing logs, the agent starts forgetting requirements and giving less reliable suggestions. The model has not become less capable; its context has filled up. Two terms describe this problem: context pollution…
This guide is part of the Agentovra developer knowledge base. It presents the practical context, configuration details, and troubleshooting steps for the topic above.
Use the examples and checks on this page as a starting point, then adapt them to your own project and tool configuration.