The AI agent didn't see my code: worktree, task states, and access boundaries in VECTA

In this article, the author analyzes the technical challenges of integrating AI agents into the development process using the VECTA platform as a case study. The core issue is that AI agents often fail to see uncommitted code changes because worktrees are created from HEAD. The author details the architectural solutions required for reliable agent performance, including taking snapshots of current files, implementing session recovery mechanisms after connection drops, configuring access rights, and validating outputs. The article also addresses managing tasks across different devices and the limitations of using worktrees as a substitute for a true sandbox environment. It emphasizes the importance of cost control and process transparency when incorporating autonomous coding tools into the development workflow.