Shob

We'd reach for Shob when you live in the terminal and juggle multiple AI coding assistants. The core promise—parallel AI sessions with independent context, prompt, and git state—directly addresses the pain of switching between Cursor, Cline, and ChatGPT. Instead of keeping mental context across apps, you launch everything in one workspace and watch agents work side by side. That's a real productivity win for heavy multitaskers. The sandboxed execution is a standout. Every command and file change goes through a review before hitting your repo. That's a safety net most DIY orchestrators lack. It means you can let agents loose without fear of destructive actions. Combined with auditable session logs, it gives you a record of what each agent did—useful for debugging and accountability. Subagent delegation is another differentiator. Breaking a large refactor into smaller tasks and dispatching them to subagents, then merging results back, is a smart way to parallelize work that would otherwise be bottlenecked. It's a feature you'd expect in a more mature tool, so seeing it in beta is encouraging. Where it bites: you're locked into a terminal-first workflow. If you prefer a graphical, IDE-integrated plugin, Shob won't replace your existing setup—it's an addition, not a substitute. Also, being in beta means you'll encounter rough edges. The documentation is sparse, and the feature set might evolve. It's MIT-licensed, so you can fork it, but that's not for everyone. Compared to alternatives like Cursor or Cline, Shob isn't trying to be the best single-agent tool—it's the orchestration layer. If you're happy with one agent doing everything, you don't need it. But if you're managing multiple sessions and want a unified, auditable workspace, Shob is a compelling choice. It's