Launch HN: Superset (YC P26) – IDE for the agents era

A new terminal‑centric IDE called Superset aims to manage dozens of AI coding agents and git worktrees in parallel, positioning itself as “infrastructure” for agent‑driven software development rather than a traditional editor. Commenters compare it to tools like Conductor, Cursor, and tmux‑based setups, highlighting strengths such as flexible CLI agent support, remote workspaces, and per‑task worktrees, while also flagging drawbacks like performance issues, Electron bloat, login requirements, and limited platform support. The broader debate centers on whether multi‑agent workflows meaningfully improve productivity or simply add complexity compared to a lean Linux + terminal + single‑agent setup.

Positioning vs Other Agent/IDE Tools

  • Frequently compared to Cursor, Conductor, Antigravity, Orca, Zed, t3, Emdash, Harness, etc.
  • Differentiators claimed:
    • Terminal-first, optimized for CLI agents (Claude Code, Codex, Opencode, etc.) rather than a custom SDK or chat-centric UI.
    • Flexible “bring your own harness” rather than prescribing one agent framework.
    • Worktree-based workflow, with setup/teardown scripts for per-branch environments.
    • Focus on scaling many concurrent agent sessions and treating the tool as an “agent factory.”

User Experience & Workflow

  • Users who like it emphasize:
    • Managing many worktrees and agent sessions (dozens) without losing context.
    • Easier context switching and long-lived task branches that can be resumed later.
    • Terminal-like feel; if it runs in a TUI (including vim), it runs inside the app.
  • Others find it heavy and overwhelming compared to tmux/iTerm2/Zellij/Neovim setups and say their existing Linux/terminal workflow plus an agent is “enough.”

Remote Workspaces & Infrastructure

  • Remote workspaces are a major interest: run agents on remote dev boxes and keep sessions alive without local machines.
  • There’s demand for:
    • Port forwarding / browser access to per-worktree environments.
    • Better latency (suggestions like mosh).
    • Easy scripts to spin up isolated infra (e.g., docker stacks) per worktree and reserve ports.

Stability, Performance, and Licensing

  • Some users report glitches: laggy remote typing, terminal rendering issues (possibly WebGL), freezes, and high resource usage (Electron-heavy, multi-GB).
  • There is an ELv2 license and a cloud backend; sign-in is required for the official builds to enable things like Linear/Slack, multiplayer, and remote workspaces.
  • Monetization is via team features and cloud; some feel $20/month is steep or would prefer one-time purchase.

Skepticism About Multi-Agent “Swarms”

  • Debate over value of multi-agent or “agent swarms”:
    • Supporters use multiple agents for parallel spikes, bug triage, and small tasks, emphasizing human review and supervision.
    • Critics argue multi-agent workflows yield diminishing returns, require constant human oversight, and don’t reflect how robust software is actually built.