During June 2025, Alex Andonian focused on reliability improvements and documentation hygiene across the Future-House/aviary and Future-House/ldp repositories. He addressed two critical bugs, first by updating README tutorial links in aviary to ensure users could access accurate guides for language agent creation and Llama agent evaluation. In ldp, Alex enhanced the LiteLLMModel’s backend by implementing robust error handling for missing or malformed logprob data, which improved the stability of asynchronous inference. His work, primarily in Python and Markdown, emphasized thorough testing and clear documentation, resulting in reduced user friction and increased developer confidence without introducing new user-facing features.