The problem ctx is trying to solve is real. If your team uses Claude Code for some tasks, Cursor for others, and maybe Codex too, you end up with scattered transcripts, fragmented review processes, and no unified view of what your AI workers actually did. ctx wants to be the single interface that sits on top of all these agents, giving you containerized workspaces, one review surface, and an agent merge queue for managing parallel work across worktrees. The tool runs locally on your machine or on remote devboxes you control. For basic local workflows you don't even need a ctx account. You bring your own providers, models, and credentials. Creator Luca King calls the gap between what coding agents can do versus what they actually accomplish in production the "FermAI Paradox," and ctx is his attempt to close it. The pitch is that the bottleneck has shifted from generating code to managing agent work, especially in large brownfield codebases. Some early questions have come up. One Hacker News commenter noted that the GitHub repository contains only links to the domain rather than actual source code. Another asked about multi-repo workflows where developers work from a root directory containing dozens of repositories. King has been actively responding in the discussions. The bigger question is whether teams need another layer of tooling between them and their agents, or if this actually solves a real coordination problem. For teams juggling multiple coding agents on production codebases, ctx might be worth a look. For individual developers standardizing on one agent, it could be overkill.