Show HN: What is wrong with the current coding agent workflow (phantomx.dev)

A new AI coding agent workflow has emerged with the launch of PhantomX, designed to transform how software development teams collaborate with AI. This shift comes after a significant evolution in the capabilities of large language models (LLMs), particularly following the release of Claude Opus 4.5, which demonstrated that these models can code effectively with minimal oversight. As LLMs integrate deeper into coding practices, traditional workflows—previously centered on human developers directing AI agents—are becoming increasingly inefficient. The individual coding model, where developers assign tasks to AI agents and verify their output, may soon give way to a more collaborative "Team model," where AI acts as a full team member capable of autonomously handling coding tasks. PhantomX aims to support this transition by providing a shared workspace environment where development resources, system prompts, and commands are centrally managed, allowing for streamlined task assignments and reducing redundant setup efforts. The tool enables developers to focus on more complex tasks while AI handles simpler ones, improving productivity and lowering potential errors. With advanced debugging capabilities and integration with full-stack projects, PhantomX positions teams to leverage AI not just as a support tool, but as an integral part of the development process, heralding a new era in software engineering where AI collaboration is commonplace.