diff --git a/apps/marketing/content/blog/agent-orchestration-not-another-agent.mdx b/apps/marketing/content/blog/agent-orchestration-not-another-agent.mdx index 5952130ef62..dbe6bae87b0 100644 --- a/apps/marketing/content/blog/agent-orchestration-not-another-agent.mdx +++ b/apps/marketing/content/blog/agent-orchestration-not-another-agent.mdx @@ -8,6 +8,28 @@ relatedSlugs: - parallel-coding-agents-guide - roadmap-to-100-agents - working-with-worktrees-in-superset +keywords: + - ai agent orchestration + - parallel coding agents + - multi-agent workflows + - coding agent management + - ai coding tools 2026 + - claude code orchestration + - codex orchestration + - agent scaling + - superset orchestrator + - ai development workflow +faq: + - question: "What is AI agent orchestration?" + answer: "AI agent orchestration is the process of managing multiple AI coding agents running in parallel — handling isolation, session persistence, task allocation, and unified review. Instead of running one agent at a time, an orchestrator lets you run 5-10+ agents simultaneously on independent tasks." + - question: "Why do I need an orchestrator instead of a better AI coding agent?" + answer: "A 20% improvement in agent quality improves throughput by 20%. Running 5 agents in parallel instead of 1 improves throughput by 5x. The orchestration layer has more leverage than the agent layer because the bottleneck is managing multiple agents, not individual agent quality." + - question: "How does Superset orchestrate multiple coding agents?" + answer: "Superset uses Git worktrees for filesystem isolation, a persistent daemon for session management, and supports any CLI agent (Claude Code, Codex, Aider, OpenCode) as a first-class citizen. It includes a built-in diff viewer for fast review and editor integration for VS Code, Cursor, JetBrains, and Xcode." + - question: "Can I use different AI coding agents for different tasks?" + answer: "Yes. An orchestrator like Superset is agent-agnostic, letting you match agents to tasks — Claude Code for complex refactors, Codex for well-defined tasks, Aider for iterative changes — and run them all simultaneously." + - question: "What's the difference between an AI coding agent and an AI agent orchestrator?" + answer: "An AI coding agent (like Claude Code, Codex, or Cursor) performs individual coding tasks. An AI agent orchestrator (like Superset) manages multiple agents running in parallel, handling isolation, session persistence, and review workflows so you can scale from 1 agent to 10+." --- Every month, a new AI coding agent launches. Claude Code. Codex. Aider. OpenCode. Cursor's agent mode. Windsurf's Cascade. Devin. The list keeps growing. Each promises to be smarter, faster, more capable than the last. diff --git a/apps/marketing/content/blog/git-worktrees-history-deep-dive.mdx b/apps/marketing/content/blog/git-worktrees-history-deep-dive.mdx index 01ab7473d41..78b16c28898 100644 --- a/apps/marketing/content/blog/git-worktrees-history-deep-dive.mdx +++ b/apps/marketing/content/blog/git-worktrees-history-deep-dive.mdx @@ -6,7 +6,30 @@ date: 2026-01-27 category: Engineering relatedSlugs: - terminal-daemon-deep-dive - - how-to-get-hit + - working-with-worktrees-in-superset + - parallel-coding-agents-guide +keywords: + - git worktrees + - git worktree tutorial + - git worktree history + - git 2.5 worktrees + - multiple working directories git + - git worktree ai agents + - parallel branch development + - git-new-workdir + - worktree internals + - git worktree best practices +faq: + - question: "What are Git worktrees and when were they introduced?" + answer: "Git worktrees are a feature introduced in Git 2.5 (July 2015) that lets you check out multiple branches simultaneously in separate working directories, all sharing the same git object store. They were primarily authored by Nguyễn Thái Ngọc Duy." + - question: "Why are Git worktrees suddenly popular in 2026?" + answer: "AI coding agents need isolated environments to work without conflicting. Worktrees provide filesystem-level isolation — each agent gets its own directory, branch, and staging area while sharing the git history. This pattern of parallel human + AI work is driving a resurgence in worktree adoption." + - question: "What's the difference between Git worktrees and cloning a repo twice?" + answer: "Worktrees share the git object store (commits, trees, blobs), so they take seconds to create and use minimal disk space. Separate clones duplicate the entire history, take minutes to create, and require push/pull to synchronize. Worktrees also share branches and tags natively." + - question: "Can the same branch be checked out in multiple Git worktrees?" + answer: "No. Git enforces a one-branch-per-worktree rule to prevent confusing bugs where commits in one worktree would cause unexpected dirty diffs in another. You can work around this with detached HEAD or by creating a new branch." + - question: "How do Git worktrees work under the hood?" + answer: "When you create a worktree, git creates a new directory with a .git file (not directory) pointing back to the main repo. The main repo stores worktree metadata in .git/worktrees// with separate HEAD, index, and reflog files. Shared resources like objects and refs are resolved via the commondir mechanism." --- Git worktrees have been around since 2015. For most of that time, they were a curiosity — something kernel developers used, something that showed up in obscure Stack Overflow answers, something most developers had never heard of. diff --git a/apps/marketing/content/blog/parallel-coding-agents-guide.mdx b/apps/marketing/content/blog/parallel-coding-agents-guide.mdx index 9ab00d9ebb8..1239e150295 100644 --- a/apps/marketing/content/blog/parallel-coding-agents-guide.mdx +++ b/apps/marketing/content/blog/parallel-coding-agents-guide.mdx @@ -8,6 +8,28 @@ relatedSlugs: - working-with-worktrees-in-superset - roadmap-to-100-agents - git-worktrees-history-deep-dive +keywords: + - parallel coding agents + - run multiple ai agents + - ai agent isolation + - git worktrees ai agents + - claude code parallel + - codex parallel + - agent orchestration guide + - ai coding workflow + - review bottleneck agents + - multi-agent development +faq: + - question: "How do I run multiple AI coding agents in parallel without conflicts?" + answer: "Use Git worktrees to give each agent its own working directory, branch, and staging area. Each worktree shares the git object store but has completely isolated files, preventing agents from overwriting each other's work." + - question: "How many AI coding agents can I run at the same time?" + answer: "On a modern laptop, 5-7 concurrent agents are comfortable. Start with 2-3 to get used to the review workflow, then scale up. The bottleneck is usually review speed, not compute resources." + - question: "Which AI coding agent is best for which task?" + answer: "Claude Code excels at complex multi-file refactors and architectural changes. Codex is fast for well-scoped, clearly defined tasks. OpenCode offers flexibility with 75+ model providers. Aider is ideal for iterative pair programming with tight feedback loops." + - question: "What is the biggest challenge with running parallel AI coding agents?" + answer: "The review bottleneck. If you run 10 agents producing diffs every 15 minutes, you need to review 10 diffs per hour. Strategies include prioritizing by risk, reviewing diffs rather than full files, letting agents verify their own work with tests, and batching similar tasks." + - question: "Do I need a special tool to run parallel coding agents?" + answer: "You can start with manual Git worktrees for 2-3 agents, but for 5+ agents you need a dedicated orchestrator like Superset that handles worktree creation, session persistence, diff review, and editor integration automatically." --- Running one AI coding agent is straightforward. Running ten at once introduces problems that most developers haven't encountered before: file conflicts, branch collisions, resource contention, and a review bottleneck that grows linearly with agent count. This guide covers the patterns that work and the mistakes to avoid. diff --git a/apps/marketing/content/blog/roadmap-to-100-agents.mdx b/apps/marketing/content/blog/roadmap-to-100-agents.mdx index 37e9483aca5..1ca18fc042a 100644 --- a/apps/marketing/content/blog/roadmap-to-100-agents.mdx +++ b/apps/marketing/content/blog/roadmap-to-100-agents.mdx @@ -1,9 +1,34 @@ --- title: "Our plan for running 100 Parallel Coding Agents" -description: "An attempt to crystallize our plans for 2026" +description: "How Superset plans to scale from 7 to 100 parallel coding agents by the end of 2026. The bottleneck isn't better models — it's the human review loop." author: satya date: 2026-02-02 category: Product +image: /blog/roadmap-to-100-agents/cover.png +relatedSlugs: + - parallel-coding-agents-guide + - agent-orchestration-not-another-agent + - working-with-worktrees-in-superset +keywords: + - 100 parallel coding agents + - scaling ai agents + - agent review bottleneck + - coding agent roadmap + - adversarial agents code review + - ai agent automation + - superset agent scaling + - event-driven coding agents + - agent-driven UI + - automated code review agents +faq: + - question: "Why can't you just run more AI coding agents to scale?" + answer: "The bottleneck isn't agent compute — it's the human review loop. Every agent needs a human to review its code, give feedback, and decide what to work on next. At 100 agents, you can't review 100 diffs a day or context-switch between 100 streams of work." + - question: "How does Superset plan to scale to 100 parallel agents?" + answer: "Three strategies: (1) Have agents work harder before reaching you — using adversarial review agents, stacked testing, and long-running iteration loops. (2) Make review faster — with agent-driven UIs that prepare briefings instead of raw diffs. (3) Make agents more proactive — with event-driven triggers and reusable workflows." + - question: "What are adversarial agents in code review?" + answer: "Adversarial agents are review agents that sit between coding agents and the human reviewer, enforcing tests, reviewing code quality, and preventing agents from surfacing work until it meets quality standards. This turns human review into a final sign-off rather than a first pass." + - question: "How many AI coding agents can you realistically run in parallel today?" + answer: "Superset currently supports 5-7 reliable parallel coding agents. The path to 100 requires reducing human involvement per agent interaction through automated review layers, agent-driven UIs, and event-driven task allocation." --- ![Superset — managing coding agents in parallel](/blog/roadmap-to-100-agents/cover.png) diff --git a/apps/marketing/content/blog/terminal-daemon-deep-dive.mdx b/apps/marketing/content/blog/terminal-daemon-deep-dive.mdx index 599fb34005f..1e503184760 100644 --- a/apps/marketing/content/blog/terminal-daemon-deep-dive.mdx +++ b/apps/marketing/content/blog/terminal-daemon-deep-dive.mdx @@ -6,7 +6,26 @@ date: 2026-01-26 category: Engineering relatedSlugs: - git-worktrees-history-deep-dive - - how-to-get-hit + - working-with-worktrees-in-superset + - roadmap-to-100-agents +keywords: + - persistent terminal electron + - terminal daemon architecture + - electron terminal session persistence + - node-pty daemon + - unix domain socket terminal + - terminal backpressure handling + - xterm.js headless emulator + - cold restore terminal + - superset terminal architecture + - electron app terminal +faq: + - question: "How does Superset's terminal survive app restarts?" + answer: "Superset runs a detached Node.js daemon process that owns all PTY sessions. The Electron app connects as a client over Unix domain sockets. When the app restarts, it reconnects to the still-running daemon and reattaches to existing sessions." + - question: "What happens if the terminal daemon crashes?" + answer: "Superset implements cold restore — terminal scrollback and metadata are persisted to disk. On next launch, it detects unclean shutdown, shows the previous scrollback as read-only, and spawns a new shell in the same directory." + - question: "Why didn't Superset use tmux for terminal persistence?" + answer: "Tmux has three issues: (1) it's an extra dependency users must install, (2) it doesn't work on Windows, and (3) tmux hijacks scrollbar, selection, and hotkeys inside xterm.js, making the experience clunky. A custom daemon avoids all three problems." --- One of the slickest features of Superset is how our terminal survives app restarts. This is a deep dive on how we built it. Huge credits to [Andreas Asprou](https://x.com/andyasprou) who spearheaded this entire effort. diff --git a/apps/marketing/content/blog/working-with-worktrees-in-superset.mdx b/apps/marketing/content/blog/working-with-worktrees-in-superset.mdx index bd13371432d..0cb9a7cb1da 100644 --- a/apps/marketing/content/blog/working-with-worktrees-in-superset.mdx +++ b/apps/marketing/content/blog/working-with-worktrees-in-superset.mdx @@ -7,6 +7,27 @@ category: Engineering relatedSlugs: - git-worktrees-history-deep-dive - roadmap-to-100-agents + - parallel-coding-agents-guide +keywords: + - git worktrees superset + - ai agent isolation + - parallel development workflow + - worktree agent orchestration + - superset worktrees tutorial + - multiple coding agents workflow + - git worktrees vs containers + - agent workspace isolation + - concurrent ai development + - worktree management tool +faq: + - question: "How does Superset use Git worktrees for AI coding agents?" + answer: "When you create a task in Superset, it automatically creates a Git worktree and branch for the agent. The agent works in isolation with its own files, branch, and staging area, while sharing the git object store. When finished, you review the diff and merge — just like reviewing a coworker's PR." + - question: "What are the advantages of Git worktrees over Docker containers for AI agents?" + answer: "Git worktrees are faster to create (seconds vs minutes), cheaper on disk (shared object store), share git history natively, and use standard git merging. Containers add unnecessary overhead for most coding tasks where filesystem isolation is sufficient." + - question: "How many parallel agents can Superset manage with worktrees?" + answer: "Most developers find a sweet spot around 5-7 concurrent agents before review becomes the bottleneck. Superset's persistent daemon manages all sessions via Unix domain sockets, with sessions surviving crashes and app restarts." + - question: "Can I use different AI coding agents in different worktrees?" + answer: "Yes. Superset is agent-agnostic — you can run Claude Code on a complex refactor, Codex on test generation, and Aider on iterative fixes, all simultaneously in separate worktrees." --- Running one AI coding agent is useful. Running ten at once is a different game entirely. But running ten agents in the same working directory is a disaster — they step on each other's files, create merge conflicts mid-edit, and leave your codebase in an unpredictable state. diff --git a/apps/marketing/content/compare/best-ai-coding-agents-2026.mdx b/apps/marketing/content/compare/best-ai-coding-agents-2026.mdx index f56fbe83d94..d292eb7f027 100644 --- a/apps/marketing/content/compare/best-ai-coding-agents-2026.mdx +++ b/apps/marketing/content/compare/best-ai-coding-agents-2026.mdx @@ -23,6 +23,23 @@ keywords: - codex alternatives - ai pair programmer comparison - ai agent orchestration + - windsurf alternatives + - devin alternatives + - github copilot alternatives + - conductor alternatives +faq: + - question: "Which AI coding tool is the best in 2026?" + answer: "There's no single best — it depends on your workflow. For parallel agent execution, Superset is the leading orchestrator. For single-agent depth, Claude Code and Cursor lead. For inline completions, GitHub Copilot is the standard. Most developers combine tools from different categories." + - question: "Can I use multiple AI coding tools together?" + answer: "Yes, and most teams do. A common stack is an orchestrator (Superset) + a primary agent (Claude Code or Codex) + inline completions (Copilot). These tools serve different purposes and don't conflict." + - question: "What's the difference between an AI coding agent and an AI coding orchestrator?" + answer: "An agent talks to AI models, reads your code, and makes changes. An orchestrator runs many agents in parallel with isolation and management. Think of it as the difference between a developer and a project manager — one does the work, the other coordinates many workers." + - question: "Is it worth paying for AI coding tools?" + answer: "The free tiers of most tools are sufficient for light usage. If you're using agents for multiple hours daily, paid plans and direct API access typically offer better throughput and reliability. At scale, the ROI is significant — AI agents can handle work that would take hours." + - question: "Which AI coding tool is most private?" + answer: "Superset and OpenCode are both open source and run locally with no telemetry. Codex CLI is open source but requires OpenAI API calls. Cursor, Windsurf, Devin, and Copilot all route code through external servers." + - question: "What is the best free AI coding tool?" + answer: "For agents, OpenCode (MIT license, 75+ providers) and Codex CLI (Apache 2.0) are fully free and open source — you only pay for API usage. For orchestration, Superset has a free tier. For inline completions, GitHub Copilot has a free tier with limited requests." --- The AI coding landscape in 2026 has split into two categories: **agents** that write code and **orchestrators** that manage agents. This guide compares the major tools in both categories so you can build the right stack for your workflow. @@ -35,13 +52,13 @@ The AI coding landscape in 2026 has split into two categories: **agents** that w These tools talk to AI models, read your code, and make changes: -- **Claude Code** — Anthropic's terminal agent, strong at complex multi-file refactors -- **Codex CLI** — OpenAI's open-source terminal agent with sandbox modes -- **GitHub Copilot** — Inline completions + chat + Agent mode in your editor -- **Cursor** — AI-native IDE (VS Code fork) with deep editor integration -- **Windsurf** — AI-powered IDE with Cascade agentic workflows -- **Devin** — Fully autonomous cloud-based AI software engineer -- **OpenCode** — Open-source terminal agent supporting 75+ model providers +- **[Claude Code](/compare/superset-vs-claude-code)** — Anthropic's terminal agent, strong at complex multi-file refactors +- **[Codex CLI](/compare/superset-vs-codex)** — OpenAI's open-source terminal agent with sandbox modes +- **[GitHub Copilot](/compare/superset-vs-github-copilot)** — Inline completions + chat + Agent mode in your editor +- **[Cursor](/compare/superset-vs-cursor)** — AI-native IDE (VS Code fork) with deep editor integration +- **[Windsurf](/compare/superset-vs-windsurf)** — AI-powered IDE with Cascade agentic workflows +- **[Devin](/compare/superset-vs-devin)** — Fully autonomous cloud-based AI software engineer +- **[OpenCode](/compare/superset-vs-opencode)** — Open-source terminal agent supporting 75+ model providers - **Aider** — Open-source terminal agent focused on iterative pair programming ### Agent Orchestrators @@ -49,7 +66,7 @@ These tools talk to AI models, read your code, and make changes: These tools run and manage multiple agents: - **Superset** — Desktop terminal that runs 10+ agents in parallel via Git worktrees -- **Conductor** — macOS app for running Claude Code and Codex in parallel +- **[Conductor](/compare/superset-vs-conductor)** — macOS app for running Claude Code and Codex in parallel Most developers use one tool from each category. The agent does the coding; the orchestrator scales it. diff --git a/apps/marketing/content/compare/superset-vs-claude-code.mdx b/apps/marketing/content/compare/superset-vs-claude-code.mdx index 0adecbd59a3..cd42d56a666 100644 --- a/apps/marketing/content/compare/superset-vs-claude-code.mdx +++ b/apps/marketing/content/compare/superset-vs-claude-code.mdx @@ -13,6 +13,20 @@ keywords: - claude code orchestration - claude code worktrees - ai coding agent comparison + - anthropic claude code + - claude code multiple instances + - claude code session persistence +faq: + - question: "Is Superset a Claude Code replacement?" + answer: "No. Superset does not talk to AI models or write code. It orchestrates agents like Claude Code in parallel, each in its own Git worktree. Think of it as a multiplier for Claude Code, not a substitute." + - question: "How many Claude Code instances can I run in Superset?" + answer: "As many as your machine and API rate limits allow. Most developers run 5-10 concurrent agents. Superset's daemon handles concurrency, and its priority-based scheduling ensures the focused task gets full resources." + - question: "Does Superset modify how Claude Code works?" + answer: "No. Claude Code runs exactly as it would in any terminal. Superset just provides the worktree, branch, and terminal session. All Claude Code features — tool use, MCP servers, hooks, slash commands — work normally." + - question: "Can I use Claude Code without Superset?" + answer: "Yes. Claude Code works perfectly in any terminal. Superset adds value when you want to run multiple instances in parallel with automatic isolation — which becomes important as you scale from one agent to many." + - question: "Is Superset open source?" + answer: "Yes. Superset is open source under Apache 2.0 with zero telemetry. The full codebase is on GitHub. Claude Code is source-available but not open source." --- Claude Code is Anthropic's terminal-based AI coding agent. Superset is an orchestration layer that runs multiple Claude Code instances in parallel, each in its own Git worktree. They're complementary — Superset doesn't replace Claude Code, it multiplies it. @@ -115,3 +129,12 @@ No. Claude Code runs exactly as it would in any terminal. Superset just provides ### Is Superset open source? Yes. Superset is open source under Apache 2.0 with zero telemetry. The full codebase is on GitHub. Claude Code is source-available but not open source. + +--- + +## Related Comparisons + +- [Superset vs Codex CLI](/compare/superset-vs-codex) — How Superset orchestrates OpenAI's coding agent +- [Superset vs Conductor](/compare/superset-vs-conductor) — Comparing AI agent orchestration platforms +- [Superset vs Cursor](/compare/superset-vs-cursor) — Parallel agents vs AI editor +- [Best AI Coding Tools 2026](/compare/best-ai-coding-agents-2026) — Complete comparison of all major tools diff --git a/apps/marketing/content/compare/superset-vs-codex.mdx b/apps/marketing/content/compare/superset-vs-codex.mdx index 20d262357ad..0a6fe029465 100644 --- a/apps/marketing/content/compare/superset-vs-codex.mdx +++ b/apps/marketing/content/compare/superset-vs-codex.mdx @@ -13,6 +13,18 @@ keywords: - openai codex alternative - codex parallel agents - ai coding agent comparison + - codex full auto mode + - codex sandbox agent + - openai coding agent +faq: + - question: "Is Superset a Codex replacement?" + answer: "No. Superset does not talk to AI models or write code. It orchestrates agents like Codex in parallel, each in its own Git worktree. Think of Superset as a multiplier for Codex, not a substitute." + - question: "Can I run Codex in Full Auto mode inside Superset?" + answer: "Yes. Each Superset task runs Codex in its own isolated worktree. You can use any Codex mode — Suggest, Auto Edit, or Full Auto — safely, because worktree isolation means an autonomous agent can't affect your main working directory." + - question: "How does cloud Codex compare to Superset?" + answer: "Cloud Codex runs in OpenAI's VMs and produces pull requests. Superset runs agents locally in Git worktrees. Cloud Codex offloads compute but sends code to OpenAI's servers. Superset keeps everything local with zero telemetry." + - question: "Are both tools open source?" + answer: "Yes. Both Superset and Codex CLI are open source under Apache 2.0. You can inspect, modify, and self-host either." --- Codex CLI is OpenAI's terminal-based coding agent. Superset is an orchestration layer that runs multiple Codex instances (and other agents) in parallel, each in its own Git worktree. They solve different problems: Codex does the coding, Superset scales it horizontally. @@ -111,3 +123,12 @@ Cloud Codex runs in OpenAI's VMs and produces pull requests. Superset runs agent ### Are both tools open source? Yes. Both Superset and Codex CLI are open source under Apache 2.0. You can inspect, modify, and self-host either. + +--- + +## Related Comparisons + +- [Superset vs Claude Code](/compare/superset-vs-claude-code) — How Superset orchestrates Anthropic's coding agent +- [Superset vs Conductor](/compare/superset-vs-conductor) — Comparing AI agent orchestration platforms +- [Superset vs OpenCode](/compare/superset-vs-opencode) — Agent orchestration vs open-source AI terminal +- [Best AI Coding Tools 2026](/compare/best-ai-coding-agents-2026) — Complete comparison of all major tools diff --git a/apps/marketing/content/compare/superset-vs-conductor.mdx b/apps/marketing/content/compare/superset-vs-conductor.mdx index 5d99d48258f..74c2dfa6981 100644 --- a/apps/marketing/content/compare/superset-vs-conductor.mdx +++ b/apps/marketing/content/compare/superset-vs-conductor.mdx @@ -12,6 +12,16 @@ keywords: - ai agent orchestration - coding agent management - conductor vs superset + - melty labs conductor + - conductor open source + - agent orchestration comparison +faq: + - question: "Is Conductor open source?" + answer: "No. Conductor is closed source from Melty Labs. You cannot inspect or audit the code. Superset is open source under Apache 2.0 with its full codebase on GitHub." + - question: "Can Conductor run agents other than Claude Code?" + answer: "Conductor supports Claude Code and OpenAI Codex. It does not support other CLI agents like OpenCode, Aider, or custom tools. Adding new agents requires Conductor to build an SDK integration." + - question: "Do both tools use Git worktrees?" + answer: "Yes. Both create isolated Git worktrees for each agent, giving every task its own branch and working directory. The underlying isolation mechanism is identical." --- Superset and Conductor both run multiple AI coding agents in parallel using Git worktrees for isolation. They differ sharply in agent support, architecture, and openness. @@ -100,3 +110,12 @@ Conductor supports Claude Code and OpenAI Codex. It does not support other CLI a ### Do both tools use Git worktrees? Yes. Both create isolated Git worktrees for each agent, giving every task its own branch and working directory. The underlying isolation mechanism is identical. + +--- + +## Related Comparisons + +- [Superset vs Claude Code](/compare/superset-vs-claude-code) — Orchestrator vs Anthropic's coding agent +- [Superset vs Codex CLI](/compare/superset-vs-codex) — Orchestrator vs OpenAI's coding agent +- [Superset vs Devin](/compare/superset-vs-devin) — Local orchestration vs cloud AI engineer +- [Best AI Coding Tools 2026](/compare/best-ai-coding-agents-2026) — Complete comparison of all major tools diff --git a/apps/marketing/content/compare/superset-vs-cursor.mdx b/apps/marketing/content/compare/superset-vs-cursor.mdx index fe31b6ead74..fe0f3bc2d2d 100644 --- a/apps/marketing/content/compare/superset-vs-cursor.mdx +++ b/apps/marketing/content/compare/superset-vs-cursor.mdx @@ -11,6 +11,17 @@ keywords: - cursor alternative - ai coding editor comparison - parallel coding agents + - cursor background agents + - cursor vs superset + - ai ide alternative + - cursor pricing 2026 +faq: + - question: "Is Superset a Cursor replacement?" + answer: "No. Superset provides no inline completions, syntax highlighting, or file editing. It is a terminal for orchestrating AI coding agents in parallel, and works alongside Cursor or any other editor." + - question: "Does Cursor support parallel agents?" + answer: "Cursor's Background Agents run in cloud-based VMs and produce pull requests, enabling some parallelism. But they run remotely, require disabling Privacy Mode, and consume Cursor credits. Superset runs agents locally with no cloud dependency." + - question: "Is Superset really free?" + answer: "Superset has a free tier and a Pro plan at $20/seat/month. You also need API keys for your chosen agents (e.g., Anthropic for Claude Code). No credit system, no markup on API costs." --- Cursor replaces your editor with an AI-native IDE. Superset sits outside your editor and runs 10+ AI coding agents in parallel, each in its own Git worktree. They solve different problems: Cursor makes single-agent editing seamless, Superset scales autonomous agent work horizontally. @@ -101,3 +112,12 @@ Cursor's Background Agents run in cloud-based VMs and produce pull requests, ena ### Is Superset really free? Superset has a free tier and a Pro plan at $20/seat/month. You also need API keys for your chosen agents (e.g., Anthropic for Claude Code). No credit system, no markup on API costs. + +--- + +## Related Comparisons + +- [Superset vs Windsurf](/compare/superset-vs-windsurf) — Comparing another AI IDE alternative +- [Superset vs GitHub Copilot](/compare/superset-vs-github-copilot) — Agent orchestration vs AI pair programmer +- [Superset vs Claude Code](/compare/superset-vs-claude-code) — Orchestrator vs coding agent +- [Best AI Coding Tools 2026](/compare/best-ai-coding-agents-2026) — Complete comparison of all major tools diff --git a/apps/marketing/content/compare/superset-vs-devin.mdx b/apps/marketing/content/compare/superset-vs-devin.mdx index 298744cbf63..3bbe8cda86a 100644 --- a/apps/marketing/content/compare/superset-vs-devin.mdx +++ b/apps/marketing/content/compare/superset-vs-devin.mdx @@ -12,6 +12,18 @@ keywords: - devin vs superset - ai software engineer comparison - ai coding agent comparison + - devin pricing + - devin autonomous agent + - cognition devin alternative +faq: + - question: "Can Devin and Superset work together?" + answer: "They serve different workflows. Devin is a cloud-based autonomous engineer. Superset is a local agent orchestrator. You might use Devin for fully autonomous background tasks and Superset for interactive parallel work where you want more control." + - question: "Is Devin worth the price premium?" + answer: "Devin's $500/seat/month buys full autonomy: assign tasks via Slack, get PRs back. If your workflow benefits from hands-off delegation and you have the budget, it can be valuable. If you prefer direct control and cost efficiency, Superset at $20/seat/month plus API costs delivers more throughput per dollar." + - question: "Which is better for security-sensitive codebases?" + answer: "Superset. Code never leaves your machine. Devin runs code on Cognition's cloud infrastructure. For regulated industries, government work, or sensitive IP, local execution is a hard requirement." + - question: "Is Superset open source?" + answer: "Yes. Superset is open source under Apache 2.0 with zero telemetry. Devin is closed source from Cognition." --- Devin is a cloud-based AI software engineer that works autonomously in a remote VM. Superset is a desktop terminal that orchestrates local coding agents in parallel across Git worktrees. They represent opposite ends of the AI development spectrum: Devin offloads work to the cloud, Superset keeps everything local. @@ -102,3 +114,12 @@ Yes. Superset is open source under Apache 2.0 with zero telemetry. Devin is clos ### Which is better for security-sensitive codebases? Superset. Code never leaves your machine. Devin runs code on Cognition's cloud infrastructure. For regulated industries, government work, or sensitive IP, local execution is a hard requirement. + +--- + +## Related Comparisons + +- [Superset vs Claude Code](/compare/superset-vs-claude-code) — How Superset orchestrates CLI coding agents +- [Superset vs Conductor](/compare/superset-vs-conductor) — Comparing local agent orchestration platforms +- [Superset vs Codex CLI](/compare/superset-vs-codex) — Orchestrator vs OpenAI's coding agent +- [Best AI Coding Tools 2026](/compare/best-ai-coding-agents-2026) — Complete comparison of all major tools diff --git a/apps/marketing/content/compare/superset-vs-github-copilot.mdx b/apps/marketing/content/compare/superset-vs-github-copilot.mdx index 2a471dd7f47..8494e8c761a 100644 --- a/apps/marketing/content/compare/superset-vs-github-copilot.mdx +++ b/apps/marketing/content/compare/superset-vs-github-copilot.mdx @@ -13,6 +13,18 @@ keywords: - copilot vs superset - ai coding assistant comparison - ai pair programmer comparison + - copilot coding agent + - github copilot agent mode + - copilot pricing 2026 +faq: + - question: "Is Superset a Copilot replacement?" + answer: "No. Superset does not provide inline completions, code suggestions, or editor integration. It orchestrates autonomous coding agents in parallel. Use Copilot for real-time editing assistance and Superset for parallel autonomous tasks." + - question: "How does Copilot's Coding Agent compare to Superset?" + answer: "Copilot's Coding Agent runs in a cloud VM and creates PRs from GitHub Issues — one task at a time per repository. Superset runs many agents locally in parallel across Git worktrees. Copilot's agent is cloud-hosted and GitHub-integrated; Superset's approach is local, agent-agnostic, and parallel." + - question: "Can I use Copilot inside a Superset worktree?" + answer: "Yes. When you open a Superset worktree in VS Code, Copilot works normally — it sees the worktree as a regular git repository. You get Copilot's completions while reviewing or editing agent output." + - question: "Is Superset open source?" + answer: "Yes. Superset is open source under Apache 2.0 with zero telemetry. GitHub Copilot is closed source." --- GitHub Copilot is an AI pair programmer that lives inside your editor, offering inline completions and chat. Superset is a terminal that runs many AI coding agents in parallel, each in its own Git worktree. They target different workflows: Copilot assists you line-by-line as you type, Superset dispatches autonomous agents to work on entire tasks independently. @@ -111,3 +123,12 @@ Yes. When you open a Superset worktree in VS Code, Copilot works normally — it ### Is Superset open source? Yes. Superset is open source under Apache 2.0 with zero telemetry. GitHub Copilot is closed source. + +--- + +## Related Comparisons + +- [Superset vs Cursor](/compare/superset-vs-cursor) — Comparing another editor-integrated AI tool +- [Superset vs Windsurf](/compare/superset-vs-windsurf) — Parallel orchestration vs AI IDE +- [Superset vs Claude Code](/compare/superset-vs-claude-code) — Orchestrator vs coding agent +- [Best AI Coding Tools 2026](/compare/best-ai-coding-agents-2026) — Complete comparison of all major tools diff --git a/apps/marketing/content/compare/superset-vs-opencode.mdx b/apps/marketing/content/compare/superset-vs-opencode.mdx index 39bed6be835..bdf881b610d 100644 --- a/apps/marketing/content/compare/superset-vs-opencode.mdx +++ b/apps/marketing/content/compare/superset-vs-opencode.mdx @@ -12,6 +12,16 @@ keywords: - open source ai coding terminal - parallel coding agents - opencode vs superset + - opencode model providers + - open source claude code alternative + - sst opencode +faq: + - question: "Is Superset an OpenCode replacement?" + answer: "No. Superset does not talk to AI models or write code. It orchestrates agents like OpenCode in parallel, each in its own Git worktree. Many developers run OpenCode as their preferred agent inside Superset." + - question: "Can I run OpenCode inside Superset?" + answer: "Yes. Each Superset task launches its own OpenCode session in its own worktree and branch, giving you model flexibility per session plus isolation and parallelism across sessions." + - question: "How does OpenCode compare to Claude Code?" + answer: "Both are terminal-based AI coding agents. OpenCode is open source (MIT) and supports 75+ providers; Claude Code is proprietary and locked to Anthropic. On the same underlying model, code quality is comparable. OpenCode offers provider flexibility; Claude Code offers tighter Anthropic optimization." --- OpenCode is a coding agent -- a single AI assistant that reads, writes, and debugs code in your terminal. Superset is an orchestration layer that runs many coding agents (including OpenCode) in parallel, each in its own isolated Git worktree. They solve different problems, and many developers use them together. @@ -100,3 +110,12 @@ Yes. Each Superset task launches its own OpenCode session in its own worktree an ### How does OpenCode compare to Claude Code? Both are terminal-based AI coding agents. OpenCode is open source (MIT) and supports 75+ providers; Claude Code is proprietary and locked to Anthropic. On the same underlying model, code quality is comparable. OpenCode offers provider flexibility; Claude Code offers tighter Anthropic optimization. + +--- + +## Related Comparisons + +- [Superset vs Claude Code](/compare/superset-vs-claude-code) — Orchestrator vs Anthropic's coding agent +- [Superset vs Codex CLI](/compare/superset-vs-codex) — Orchestrator vs OpenAI's coding agent +- [Superset vs Warp](/compare/superset-vs-warp) — Agent orchestration vs AI-powered terminal +- [Best AI Coding Tools 2026](/compare/best-ai-coding-agents-2026) — Complete comparison of all major tools diff --git a/apps/marketing/content/compare/superset-vs-warp.mdx b/apps/marketing/content/compare/superset-vs-warp.mdx index 543d44401b1..33c4a7b6d14 100644 --- a/apps/marketing/content/compare/superset-vs-warp.mdx +++ b/apps/marketing/content/compare/superset-vs-warp.mdx @@ -12,6 +12,16 @@ keywords: - ai terminal comparison - warp terminal vs superset - ai powered terminal + - warp agent mode + - warp drive collaboration + - warp gpu terminal +faq: + - question: "Is Superset a replacement for Warp?" + answer: "No. Superset does not handle SSH, ad-hoc commands, or interactive tools. It is a specialized orchestration layer for running AI coding agents in parallel. You can use both: Warp for daily terminal work, Superset for parallel agent workflows." + - question: "Does Warp isolate agents with Git worktrees?" + answer: "No. Warp agents operate on your file system directly. If two agents modify the same file concurrently, conflicts can arise. Superset prevents this by giving each agent its own worktree, branch, and directory." + - question: "Can I run Claude Code or Codex in both tools?" + answer: "Yes. Warp runs them in terminal panes alongside its built-in agents. Superset runs them in isolated Git worktrees with parallel execution as the core workflow. For one or two agents, either works. For ten agents on ten tasks with branch isolation, Superset is purpose-built for that." --- Superset and Warp both help developers work with AI in the terminal, but they solve different problems. Warp is a modern terminal emulator with built-in AI agents. Superset is an orchestration layer for running many CLI-based coding agents in parallel, each in its own isolated Git worktree. @@ -102,3 +112,12 @@ No. Warp agents operate on your file system directly. If two agents modify the s ### Can I run Claude Code or Codex in both tools? Yes. Warp runs them in terminal panes alongside its built-in agents. Superset runs them in isolated Git worktrees with parallel execution as the core workflow. For one or two agents, either works. For ten agents on ten tasks with branch isolation, Superset is purpose-built for that. + +--- + +## Related Comparisons + +- [Superset vs OpenCode](/compare/superset-vs-opencode) — Agent orchestration vs open-source AI terminal +- [Superset vs Cursor](/compare/superset-vs-cursor) — Parallel agents vs AI editor +- [Superset vs Claude Code](/compare/superset-vs-claude-code) — Orchestrator vs coding agent +- [Best AI Coding Tools 2026](/compare/best-ai-coding-agents-2026) — Complete comparison of all major tools diff --git a/apps/marketing/content/compare/superset-vs-windsurf.mdx b/apps/marketing/content/compare/superset-vs-windsurf.mdx index 1eabdbf9a76..c9b5c40c590 100644 --- a/apps/marketing/content/compare/superset-vs-windsurf.mdx +++ b/apps/marketing/content/compare/superset-vs-windsurf.mdx @@ -12,6 +12,18 @@ keywords: - windsurf vs superset - ai ide comparison - ai coding tool comparison + - windsurf cascade + - codeium windsurf + - windsurf pricing 2026 +faq: + - question: "Is Superset a Windsurf replacement?" + answer: "No. Superset provides no inline completions, syntax highlighting, or file editing. It is a terminal for orchestrating AI coding agents in parallel. Superset and Windsurf serve different functions and can be used together." + - question: "Does Windsurf support parallel agents?" + answer: "Windsurf's Cascade handles multi-step tasks sequentially within a single flow. It does not run multiple independent agents in parallel across isolated environments. Superset's worktree-based isolation is specifically designed for parallel agent execution." + - question: "Is Superset open source?" + answer: "Yes. Superset is open source under Apache 2.0 with zero telemetry. Windsurf is closed source from Codeium." + - question: "Can I use Windsurf as my editor with Superset?" + answer: "Yes. Superset integrates with any editor. You can open Superset worktrees in Windsurf to review agent changes in the full IDE context." --- Windsurf is an AI-powered IDE that embeds AI into every part of the editing experience. Superset is a terminal that runs many AI coding agents in parallel, each in its own Git worktree. They solve fundamentally different problems: Windsurf replaces your editor with an AI-native one, Superset scales autonomous agent work alongside any editor. @@ -110,3 +122,12 @@ Yes. Superset is open source under Apache 2.0 with zero telemetry. Windsurf is c ### Can I use Windsurf as my editor with Superset? Yes. Superset integrates with any editor. You can open Superset worktrees in Windsurf to review agent changes in the full IDE context. + +--- + +## Related Comparisons + +- [Superset vs Cursor](/compare/superset-vs-cursor) — Comparing another AI IDE alternative +- [Superset vs GitHub Copilot](/compare/superset-vs-github-copilot) — Agent orchestration vs AI pair programmer +- [Superset vs Devin](/compare/superset-vs-devin) — Local orchestration vs cloud AI engineer +- [Best AI Coding Tools 2026](/compare/best-ai-coding-agents-2026) — Complete comparison of all major tools diff --git a/apps/marketing/src/app/compare/[slug]/page.tsx b/apps/marketing/src/app/compare/[slug]/page.tsx index 16aa8e817fb..08b5e97e3ec 100644 --- a/apps/marketing/src/app/compare/[slug]/page.tsx +++ b/apps/marketing/src/app/compare/[slug]/page.tsx @@ -4,7 +4,11 @@ import { notFound } from "next/navigation"; import { MDXRemote } from "next-mdx-remote/rsc"; import remarkGfm from "remark-gfm"; import { mdxComponents } from "@/app/blog/components/mdx-components"; -import { ComparisonJsonLd } from "@/components/JsonLd"; +import { + BreadcrumbJsonLd, + ComparisonJsonLd, + FAQPageJsonLd, +} from "@/components/JsonLd"; import { getAllComparisonSlugs, getComparisonPage } from "@/lib/compare"; import { CompareLayout } from "./components/CompareLayout"; @@ -36,6 +40,14 @@ export default async function ComparePageRoute({ params }: PageProps) { url={url} image={page.image} /> + + {page.faq && page.faq.length > 0 && } ; content: string; } diff --git a/apps/marketing/src/lib/compare.ts b/apps/marketing/src/lib/compare.ts index 08d02217541..28a3df6cf70 100644 --- a/apps/marketing/src/lib/compare.ts +++ b/apps/marketing/src/lib/compare.ts @@ -31,6 +31,7 @@ function parseFrontmatter(filePath: string): ComparisonPage | null { competitors: data.competitors ?? [], keywords: data.keywords ?? [], image: data.image, + faq: data.faq, content, }; } catch { diff --git a/bun.lock b/bun.lock index 61b95e548cc..ba8676d3ebd 100644 --- a/bun.lock +++ b/bun.lock @@ -109,7 +109,7 @@ }, "apps/desktop": { "name": "@superset/desktop", - "version": "0.0.84", + "version": "0.0.85", "dependencies": { "@ai-sdk/react": "^3.0.0", "@ast-grep/napi": "^0.41.0",