# Hashimoto’s Superlogical bets that agentic software development needs more than a better terminal > Source: > Published: 2026-08-03 12:43:34+00:00 The rise of AI coding agents is beginning to expose a longstanding weakness in software development: work remains fragmented across developer terminals, CI pipelines, remote servers, and production systems. Superlogical, a startup founded by HashiCorp co-founder [Mitchell Hashimoto](https://mitchellh.com/), aims to solve that by turning the terminal into a persistent execution layer that both developers and AI agents can share. It is proposing to do so with the help of a server-side multiplexer that keeps software sessions “alive” across devices and environments, allowing humans and AI agents to resume, share, and manage long-running coding sessions without losing context. In contrast, traditional multiplexers, such as [tmux](https://github.com/tmux/tmux), were designed to preserve terminal sessions for individual users, allowing developers to detach and reconnect to terminal sessions after network interruptions. That limitation, according to analysts, is becoming a real pain point for developers and enterprises adopting long-running AI coding agents. “Tools like tmux were built for a human watching one terminal, but agents now run for hours in the background, and existing tools have zero awareness of whether an agent is waiting for your approval or still thinking,” said [Manoj Chandra Jha](https://www.linkedin.com/in/manoj-chandra-jha-b5ab0a13/), principal analyst at Nord-IQ Research. This means that developers might often have to manually reconnect to sessions simply to determine whether work is progressing, blocked, or ready for review, which becomes increasingly cumbersome as enterprise teams begin running multiple autonomous coding agents simultaneously, Jha added. To address that challenge, Superlogical moves the session, not just the terminal connection. Instead of having both the server and client repeatedly parse and render terminal output, the new multiplexer stores the authoritative session state on the server and streams raw terminal data to clients, which independently reconstruct the same session using Hashimoto’s [libghostty rendering engine](https://mitchellh.com/writing/libghostty-is-coming). This approach, Jha said, will allow developers and AI agents to reconnect to, share, and resume long-running sessions from desktop, mobile, or web clients while preserving the same execution context. That means reduced interruptions, simplified remote development, and improved productivity for cloud-native and AI-assisted software engineering, echoed [Pareekh Jain](https://pareekh.com/about/), principal analyst at Pareekh Consulting. For CIOs, however, the appeal isn’t the speed of development but more control. “Right now, AI agents run in the background with basically no audit trail. A standardized session that tracks exactly what happened, who did what, and hands off cleanly between human and AI could make it much easier to monitor and secure all this new agent activity,” Jain said. The approach could also help enterprises gain a single control layer for tracking, auditing, and managing autonomous software work instead of relying on multiple monitoring, observability, and workflow tools, Jha added. Jha cautioned that enterprises should view Superlogical as an early-stage technology rather than a mature infrastructure platform: “The product remains in beta and has yet to be independently benchmarked or proven at enterprise scale.” Whether Superlogical ultimately becomes that persistent execution layer or remains a more capable alternative to tmux will depend on whether it can prove those benefits at enterprise scale, the analyst added.