Developers using AI coding assistants need to control conversation context to prevent irrelevant information from interfering with model output.
Currently, users typically restart sessions, copy-paste key content, or use prompts to avoid context pollution.
When conversation history contains errors or irrelevant content, the model may produce misleading responses, forcing users to restart sessions or manually clean up.