Show HN: Learn while you wait for your agents to code (github.com)

A new tool called Foyer has been introduced to enhance productivity during AI Agent tasks by minimizing the downtime developers face while waiting for large language models (LLMs) to generate code or outputs. This innovative solution addresses a common pain point—developers often find themselves in a constant cycle of switching between coding and waiting, which disrupts their workflow. Foyer transforms these waiting moments into productive intervals by providing a dashboard that delivers a narrated summary of the agent's current focus alongside a research panel. This allows users to engage with relevant learning materials and stay mentally aligned with their tasks. Foyer is built to run locally and integrates with existing LLMs like Claude Code and Codex, utilizing APIs for seamless communication without hindering agent performance. Key features include a live focus display that narrates what the agent is doing and a deep research panel offering sourced briefings based on suggested topics. This tool not only helps maintain developers' focus but also supports continuous learning, making it a significant advancement in the AI/ML community by optimizing the programming experience and allowing for a more immersive interaction with AI technologies.