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Claude Code vs Codex 2026: Conductor Alternatives

Conductor is joining Meta. Its cloud goes read-only on Nov 13 and shuts down on Nov 20, and the two agents teams ran there, Claude Code and Codex, wrote 97.1% of the AI code cubic reviewed in the week of Oct 26.

  • No. 1: Claude Code
  • 10 places

01Final list

The leading AIs each built their own list of ten independently. Here is one result that is easy to check: every place has a reason, a source, and the list of AIs that included it.

Order: from most to least AI agreement.

A bright badge means this AI put the entry on its list. A dim badge means it did not.

  1. 1

    Claude Code

    Wrote 81.4% of the AI code cubic reviewed (week of Oct 26). Opus 5.5 inside it tops Terminal-Bench 4.0 at 64.8%. The repo and sessions stay on your own machine.

    Included it: ChatGPT, Meta, Grok, Gemini, Nova, Wenxin, MiMo. Did not include: DeepSeek.

    In their lists: ChatGPT: 1 · Meta: 1 · Grok: 1 · Gemini: 2 · Nova · Wenxin: 1 · MiMo: 6

    What each AI noted 7
    • ChatGPTplace 1

      81.4% of cubic-reviewed AI-written lines in the latest complete week, with the strongest published Terminal-Bench 4.0 configuration.

      Source ↗
    • Metaplace 1

      78.1% of cubic-reviewed AI code Oct 5 week + 64.8% Terminal-Bench, and local sessions stay on your Mac when cloud goes read-only Nov 13

      Source ↗
    • Grokplace 1

      It wrote 81.4% of the AI code cubic reviewed in the week of Oct 26, and Opus 5.5 in Claude Code leads the named-harness terminal board at 64.8%.

      Source ↗
    • Geminiplace 2

      Controls 78.1% of all AI-reviewed production pull requests and tops terminal completion at 64.8% without relying on an external cloud host.

    • Nova

      Named differently in its own list: open the full list.

    • Wenxinplace 1

      78 % of cubic-reviewed AI code, 64.8 % on Terminal-Bench — your repo stays yours on disk.

      Source ↗
    • MiMoplace 6

      The default seat of the industry — 78.1% of reviewed AI code — yet it is one agent at a time, so teams grow around it.

      Source ↗
    7 AIs put it here
    Source ↗
  2. 2

    OpenAI Codex

    Wrote 15.7% of reviewed AI code. GPT-6.1 Sol and GPT-6 Astra both solve 58.2% of terminal tasks in it, at about $1.92 against $9.90 per task. The CLI is Apache-2.0.

    Included it: ChatGPT, Meta, Grok, Gemini, Nova, Wenxin, MiMo. Did not include: DeepSeek.

    In their lists: ChatGPT: 2 · Meta: 2 · Grok: 2 · Gemini: 3 · Nova · Wenxin: 2 · MiMo: 5

    What each AI noted 7
    • ChatGPTplace 2

      GPT-6.1 Sol matches Astra's 58.2% terminal score at a fraction of its measured API task cost.

      Source ↗
    • Metaplace 2

      18.8% share, open-source Apache 2.0 CLI, 58.2% Terminal-Bench for $1.92 per task vs $14.30 for Opus 5.5

      Source ↗
    • Grokplace 2

      GPT-6.1 Sol inside Codex is the cleanest ranked pair at 0.76, and it ties Astra at 58.2% of terminal tasks for about $634 against Astra's $3.3k run.

      Source ↗
    • Geminiplace 3

      Captures 18.8% of shipped code and hits 58.2% on terminal challenges, backed by the 65.5% 20-hour task score of GPT-6 Astra.

    • Nova

      Named differently in its own list: open the full list.

    • Wenxinplace 2

      GPT-6 Astra pulls 58.2 % on terminal tasks but 1.13 bugs/line inside the agent.

      Source ↗
    • MiMoplace 5

      One vendor, one cloud — but it seats the model that holds the long-task record (65.5%) and 18.8% of all cubic-reviewed AI code.

      Source ↗
    7 AIs put it here
    Source ↗
  3. 3

    OpenCode

    Only 0.7% of reviewed AI code (week of Oct 5), but it is MIT-licensed, supports 75+ providers, keeps agent configs in the repo and stores none of your code.

    Included it: ChatGPT, Meta, Grok, Gemini, Nova, Wenxin. Did not include: DeepSeek, MiMo.

    In their lists: ChatGPT: 3 · Meta: 3 · Grok: 3 · Gemini: 9 · Nova · Wenxin: 4

    What each AI noted 6
    • ChatGPTplace 3

      The portability-first alternative: specialized agents can live as configuration files inside the project.

      Source ↗
    • Metaplace 3

      0.7% share Oct 5 but 75+ providers, free models, MIT license — workspace never leaves your machine

      Source ↗
    • Grokplace 3

      It was 0.7% of the AI code cubic reviewed in the week of Oct 5, and OpenCode says it does not store your code or context.

      Source ↗
    • Geminiplace 9

      An entirely open-source local coding agent harness holding 0.7% of cubic reviewed commits with unconstrained model flexibility.

    • Nova

      Named differently in its own list: open the full list.

    • Wenxinplace 4

      0.7 % cubic share but fully self-hosted — no one can delete your disk.

    6 AIs put it here
    Source ↗
  4. 4

    Cursor

    Another acquired host: SpaceX closed its purchase on Aug 14, and Cursor's share of reviewed code fell from 10.6% to 1.8%. Its cloud agents run on Cursor's machines.

    Included it: ChatGPT, Meta, Grok, Gemini, Nova, Wenxin. Did not include: DeepSeek, MiMo.

    In their lists: ChatGPT: 5 · Meta: 4 · Grok: 10 · Gemini: 7 · Nova · Wenxin: 3

    What each AI noted 6
    • ChatGPTplace 5

      Remote background agents are convenient, but the code executes on Cursor-controlled infrastructure.

      Source ↗
    • Metaplace 4

      1.6% share Oct 5 down from 10.4% peak, but editor + cloud agents + $60B SpaceX acquisition of maker

      Source ↗
    • Grokplace 10

      SpaceX closed the acquisition on Aug 14, 2026, and Cursor's share of reviewed AI code fell from 10.6% in the week of Aug 17 to 1.8% in the week of Oct 26.

      Source ↗
    • Geminiplace 7

      Holds 1.6% of reviewed enterprise AI code while providing local desktop control paired with background cloud compute workers.

    • Nova

      Named differently in its own list: open the full list.

    • Wenxinplace 3

      1.6 % cubic share and 66 % user-owned repos — small AI share, large trust.

    6 AIs put it here
    Source ↗
  5. 5

    GitHub Copilot coding agents

    cubic publishes no share for it, but GitHub issues and pull requests become the handoff between Claude and Codex agents, and the repo stays the team's.

    Included it: ChatGPT, Meta, Grok, Gemini, Wenxin. Did not include: Nova, DeepSeek, MiMo.

    In their lists: ChatGPT: 4 · Meta: 8 · Grok: 8 · Gemini: 8 · Wenxin: 8

    What each AI noted 5
    • ChatGPTplace 4

      A shared pull request can be the handoff between competing coding agents rather than a proprietary chat thread.

      Source ↗
    • Metaplace 8

      Not in Bug Bench agent share, but paid plans list GPT-5.6 Sol 0.65 bug rate — cleanest model overall

      Source ↗
    • Grokplace 8

      Cubic says Copilot is not on its coding-agents page, so the assistant many teams already pay for has no share on this board.

      Source ↗
    • Geminiplace 8

      Directly integrated into GitHub repositories with centralized security policies, but tied to Microsoft managed infrastructure.

      Source ↗
    • Wenxinplace 8

      Agentic PR mode ships fast; workspaces cloud-managed with enterprise export.

    5 AIs put it here
    Source ↗
  6. 6

    Conductor local app

    The shortest move: a right-click transfer brings cloud workspaces and chats to the Mac before Nov 20. Updates stop in early 2027, so this is a bridge, not a home.

    Included it: ChatGPT, Gemini, DeepSeek, MiMo. Did not include: Meta, Grok, Nova, Wenxin.

    In their lists: ChatGPT: 10 · Gemini: 1 · DeepSeek: 10 · MiMo: 1

    What each AI noted 4
    • ChatGPTplace 10

      The shortest migration is built into Conductor itself, but local support is scheduled to wind down in early 2027.

      Source ↗
    • Geminiplace 1

      Conductor Cloud shuts down on November 20, 2026, but the local engine lets teams preserve multi-agent worktrees directly on their own machines through 2027.

    • DeepSeekplace 10

      The Mac app still runs until early 2027, and local Git worktrees are yours — but no new models or fixes after that, so it's a bridge, not a home.

      Source ↗
    • MiMoplace 1

      The startup got bought — but only its rented cloud dies; the local Mac app keeps every workspace on your own disk.

      Source ↗
    4 AIs put it here
    Source ↗
  7. 7

    Superset / Paradev

    Runs any CLI agent on machines you own. The Team plan is $60 a month, against Conductor Pro's $50. Source-available; macOS first, with Windows not yet available.

    Included it: Meta, DeepSeek, MiMo. Did not include: ChatGPT, Grok, Gemini, Nova, Wenxin.

    In their lists: Meta: 10 · DeepSeek: 2 · MiMo: 2

    What each AI noted 3
    • Metaplace 10

      Source-available workspace, remote hosts and automations, Team $60/mo alternative to Conductor Pro $50

    • DeepSeekplace 2

      Free/Pro $20 per user and a Team tier at $60; runs any CLI agent on machines you own, with iPhone review and scheduled automations.

      Source ↗
    • MiMoplace 2

      Runs the agent that wrote 78% of cubic-reviewed AI code plus five rivals — from your own disk, so no acquirer can turn it off.

      Source ↗
    3 AIs put it here
    Source ↗
  8. 8

    Orca

    An MIT-licensed worktree app that runs 27 named agents (plus any CLI agent) on Mac, Windows and Linux. It has 94.8k GitHub stars by one count, but Hacker News users report UI bugs.

    Included it: DeepSeek, MiMo. Did not include: ChatGPT, Meta, Grok, Gemini, Nova, Wenxin.

    In their lists: DeepSeek: 1 · MiMo: 9

    What each AI noted 2
    • DeepSeekplace 1

      94.8k GitHub stars and MIT-licensed: the closest drop-in for Conductor's local worktree model, with a migration guide that opens existing workspaces in place.

      Source ↗
    • MiMoplace 9

      One of the four names a workspace vendor lists as the real post-Conductor field — after Superset, the Codex app and Nimbalyst.

      Source ↗
    2 AIs put it here
    Source ↗
  9. 9

    Grok Build

    Grok 4.7 solves 37.6% of Terminal-Bench 4.0 here, about 27 points behind Claude Code's top pair. The same model scores 29.5% on day-long tasks.

    Included it: Grok, Wenxin. Did not include: ChatGPT, Meta, Gemini, Nova, DeepSeek, MiMo.

    In their lists: Grok: 4 · Wenxin: 5

    What each AI noted 2
    • Grokplace 4

      Grok 4.7 in Grok Build resolves 37.6% of Terminal-Bench 4.0, and the same model scores 29.5% on day-long tasks in a different harness.

      Source ↗
    • Wenxinplace 5

      37.6 % on Terminal-Bench — strong terminal runner, weak on shipped-code bug count.

      Source ↗
    2 AIs put it here
    Source ↗
  10. 10

    Daytona

    Open-source, self-hosted sandboxes: Conductor Cloud's rented-sandbox model without a host that can be bought. It has no benchmark row of its own.

    Included it: Meta, Gemini. Did not include: ChatGPT, Grok, Nova, DeepSeek, Wenxin, MiMo.

    In their lists: Meta: 6 · Gemini: 4

    What each AI noted 2
    • Metaplace 6

      Open-source dev environment manager, replaces Vercel sandboxes Conductor Cloud used

      Source ↗
    • Geminiplace 4

      An open-source, self-hosted dev environment management plane that provides standardized parallel sandboxes on private cloud or on-prem instances.

    2 AIs put it here
    Source ↗

More about the top three ↓

02More about the top three

The ranking is above. Here is more about the three places at the top: what they are, why they are here, and what is worth knowing.

The shares come from different weeks: Claude Code and Codex are from the week of Oct 26, OpenCode is from the week of Oct 5.

1Claude Code

No. 1 — Claude Code. On the lists of 7 of 8 AIs; median place there: 1. It wrote by far the most reviewed AI code, leads the terminal-task board, and keeps your repo and sessions on your own machine.

Did you know

  • Claude Code's rewind does not undo everything. It only tracks edits made with Claude's own file-editing tools. Changes made by shell commands, such as deleting or moving files, are not covered. Checkpoints do survive across sessions.

    Source ↗
What it is
Anthropic's coding agent that runs on your own computer.
Its edge
Wrote 81.4% of reviewed AI code, far more than the other two.
Who it suits
Suits solo developers who want local control; less so teams wanting many agents at once.
  • Share of reviewed AI code81.4% of AI code

Wikipedia · Wikidata

History

  • Claude Code started in February 2025 as a limited research preview, released alongside the Claude 3.7 Sonnet model.

    Source ↗
Keep in mind

  • With unclear intent or missing context, auto mode may still approve unsafe actions, and may block harmless ones. Each action gets an extra review step, which can add delay and cost more tokens over time.

    Source ↗
Where to go further

  • Open the permission modes page to see what each mode lets Claude Code do without asking. Read the Auto mode part first, since it is now the starting mode.

    Source ↗

Video: Every Claude Code Concept Explained for Normal People · Simon Scrapes

Compare the top three ↓

2OpenAI Codex

No. 2 — OpenAI Codex. On the lists of 7 of 8 AIs; median place there: 2. It is a clear second: a solid share of reviewed code, strong terminal scores at lower cost per task, and an open-source CLI.

Did you know

  • Codex's default sandbox keeps the network off. On a Mac it uses Apple's Seatbelt, and on Linux it uses Landlock and seccomp. Turning the network on takes one line in the config file: network_access = true.

    Source ↗ ✓ confirmed by several AIs
What it is
OpenAI's coding agent, with an open-source Apache-2.0 command-line tool.
Its edge
Solves terminal tasks about as well as its rival for far less per task.
Who it suits
Suits cost-minded users who like open code; less so anyone wary of its sandbox bug report.
  • Share of reviewed AI code15.7% of AI code

Wikipedia · Wikidata

History

  • In March 2023 OpenAI shut down the first Codex, a 2021 model for writing code, with only days of notice. Users were told to move to GPT-3.5. The name came back in 2025 for a new coding agent.

    Source ↗
Keep in mind

  • A security write-up on a reported Codex sandbox bypass (ZDI-26-305) gives it a CVSS score of 8.6. It said no patch or fix date had been published. Check the current status.

    Source ↗
What people say

  • “an attacker can escape the sandbox and execute code under the current user’s privileges.” — Ikesan (lilting)

    Source ↗

Video: OpenAI Codex Explained for Normal People (“Claude Cowork Killer”) · Paul J Lipsky

Compare the top three ↓

3OpenCode

No. 3 — OpenCode. On the lists of 6 of 8 AIs; median place there: 3. Its code share is tiny, but it is free and open, works with 75+ model providers, and stores none of your code.

Did you know

  • There are two projects called OpenCode. The active one comes from the team behind the SST framework, now called Anomaly. An older Go-based one, opencode-ai/opencode, stopped being maintained in September 2025, so check which repository you are looking at.

    Source ↗
What it is
An open-source coding agent that works with models from many providers.
Its edge
Most open and portable: MIT license, 75+ providers, configs kept in your repo.
Who it suits
Suits people who want to switch models freely; less so those wanting a ready-made hosted service.
  • Share of reviewed AI code0.7% of AI code (week Oct 5)

Wikipedia · Wikidata

History

  • OpenCode came from the team behind SST, a developer tools project. In 2025, they brought that terminal focused experience to AI coding, building an open source agent that works with models from many providers.

    Source ↗
Keep in mind

  • OpenCode is free to install, but it needs your own AI-model API keys or a paid Zen subscription. The same page notes that some features need a modern terminal app, and you manage updates yourself.

    Source ↗
What people say

  • feels super clean and intuitive, no fussing around, just install, configure and start using it. — Aspireve

    Source ↗
Where to go further

  • Connect a model with /connect, then run /init in a project folder. Open the AGENTS.md file it creates and read it first, since it shows what OpenCode learned about your code.

    Source ↗

Video: OpenCode Got Hacked BADLY ( Explained! ) · Code Bear

Compare the top three ↓

The top three side by side

Claude CodeOpenAI CodexOpenCode
In the AIs' lists7 / 87 / 86 / 8
Share of reviewed AI code81.4% of AI code15.7% of AI code0.7% of AI code (week Oct 5)
Put first byChatGPT, Meta, Grok, Wenxin——

Places with the same number of AIs are ordered by their average place in the AIs' own lists.

More ratings

03Worth knowing

What the AIs noticed while building the list.

The brief called the Meta deal unconfirmed. Conductor itself now says it is joining Meta: cloud read-only Nov 13, shutdown and start of deletion Nov 20, local app maintained until early 2027.

Noticed by:
Included it: ChatGPT, Grok, DeepSeek, MiMo. Did not include: Meta, Gemini, Nova, Wenxin.
Source ↗

Claude Code and Codex wrote 96.9% of cubic-reviewed AI code in the week of Oct 5 and 97.1% in the week of Oct 26. That is a sample of cubic's customers, not worldwide adoption.

Noticed by:
Included it: ChatGPT, Meta, Grok, Gemini, MiMo. Did not include: Nova, DeepSeek, Wenxin.
Source ↗

Chats are the weak link: one guide says no alternative imports Conductor's local chat database, but Amp published a one-line Conductor chat import on Nov 4.

Noticed by:
Included it: Grok, DeepSeek. Did not include: ChatGPT, Meta, Gemini, Nova, Wenxin, MiMo.
Source ↗

A terminal score belongs to a model-and-harness pair: Opus 5.5 is 64.8% in Claude Code on the official board, 65.2% on Vals AI and 66.4% in Anthropic's own run.

Noticed by:
Included it: Meta, Grok, DeepSeek. Did not include: ChatGPT, Gemini, Nova, Wenxin, MiMo.
Source ↗

cubic's own snapshots differ: for the week of Oct 5, Codex is 18.8% and Cursor 1.6% in the Oct 16 article, but 18.9% and 1.5% in the refreshed data.

Noticed by:
Included it: ChatGPT, Grok. Did not include: Meta, Gemini, Nova, DeepSeek, Wenxin, MiMo.
Source ↗

04Questions people ask

claude code vs codex

In the week of Oct 26, Claude Code wrote 81.4% of cubic-reviewed AI code and Codex wrote 15.7%. On Terminal-Bench 4.0, Opus 5.5 in Claude Code solves 64.8%, against 58.2% for both GPT-6 Astra and GPT-6.1 Sol in Codex.

Source ↗
claude code vs codex vs cursor

The same week, Cursor wrote 1.8%, down from 10.6% in mid-August. Its best-ranked model inside Cursor, Claude Opus 5, has a 1.22 bug rate, above the 1.00 average.

Source ↗
claude code vs codex pricing

Both start at $20 a month (Claude Pro, ChatGPT Plus). At API list price, GPT-6.1 Sol output is $10 per million tokens and Claude Opus 5.5 output is $20.

Source ↗
claude code vs codex reddit

Threads argue as much about usage caps as about the 64.8% vs 58.2% terminal gap. One October telemetry post is anecdotal and workload-dependent, not a controlled test.

Source ↗

05How we counted

In plain words, no formulas.

1The question

Top 10 places to keep a team of coding agents after Conductor Cloud closes

2Why this topic

The reader gets three boards that crown three different leaders, plus the portability question that no board asks.

3Where it applies

global, software teams that run several coding agents on one codebase

4What we looked at

  • Share of real reviewed AI-written code, by agent (cubic Bug Bench)
  • Share of terminal tasks solved, with the harness named (Terminal-Bench 4.0)
  • Score on day-long tasks with every model in the same harness (FrontierSWE v2)
  • Whether the workspace, chats and data still belong to the team after the host is acquired
  • cubic Bug Bench — Share of AI-attributed lines in merged PRs reviewed by cubic, by coding agent, plus a relative bug rate (1.00 = average, lower is cleaner). This is cubic's customer sample, not the w
  • Terminal-Bench 4.0 (tbench.ai) — Share of 66 command-line tasks resolved, 5 trials each, with both the model and the agent harness named.
  • Proximal FrontierSWE v2 — Mean score on 34 open-ended tasks of up to 20 hours, with every model in the same Proximus harness. It scores the model, not the agent product.
  • Conductor announcement — Conductor's own dates and export paths: read-only, shutdown, deletion, transfer to local, and how long the local app is maintained.

5Who ranked

The leading AIs, each building its own list of ten independently and naming a source for every place: ChatGPT, Meta, Grok, Gemini, Nova, DeepSeek, Wenxin, MiMo.

6How the places were set

The same entry written differently by different AIs was counted as one. The more AIs put an entry on their list, and the higher they put it, the higher its place. "AI agreement" shows how many of the AIs had it on their own list. Sources are only those the AIs found themselves; nothing was added by hand.

06Each AI's own list

🇺🇸 ChatGPT10 places · 4 notes

The same question, answered by ChatGPT alone. The final list above combines all the AIs.

  1. 1
    Claude Code (2026)

    81.4% of cubic-reviewed AI-written lines in the latest complete week, with the strongest published Terminal-Bench 4.0 configuration.

    Source ↗
  2. 2
    OpenAI Codex (2026)

    GPT-6.1 Sol matches Astra's 58.2% terminal score at a fraction of its measured API task cost.

    Source ↗
  3. 3
    OpenCode (2026)

    The portability-first alternative: specialized agents can live as configuration files inside the project.

    Source ↗
  4. 4
    GitHub Copilot Coding Agents (2026)

    A shared pull request can be the handoff between competing coding agents rather than a proprietary chat thread.

    Source ↗
  5. 5
    Cursor AI (2026)

    Remote background agents are convenient, but the code executes on Cursor-controlled infrastructure.

    Source ↗
  6. 6
    Gemini CLI (2026)

    An open-source terminal agent whose extensions can travel with a development team's own configuration.

    Source ↗
  7. 7
    OpenAI Agents SDK and Agents API (2026)

    The build-your-own control plane option, with up to six concurrent subagents by default in the documented managed configuration.

    Source ↗
  8. 8
    GitHub Copilot in VS Code (2026)

    The editor becomes the control room: custom agents, subagents and cloud sessions sit beside ordinary development.

    Source ↗
  9. 9
    Cursor Background Agents (2026)

    A strong unattended execution option, but its remote sessions are less portable than the Git branches they produce.

    Source ↗
  10. 10
    Conductor Local (2026, transitional)

    The shortest migration is built into Conductor itself, but local support is scheduled to wind down in early 2027.

    Source ↗

What ChatGPT noticed

Conductor's Meta deal is no longer merely an unconfirmed report: Conductor itself says it is joining Meta. The cloud deadlines are November 13 for read-only and November 20 for shutdown and beginning deletion.

Source ↗

Claude Code and Codex together accounted for 97.1% of cubic-reviewed AI-attributed lines in the week of October 26, but that is a review-provider sample, not worldwide adoption.

Source ↗

A 64.8% terminal result does not mean Claude Code is 64.8% likely to finish an arbitrary company's software project. It describes a specific benchmark, model, harness and effort setting.

Source ↗

The practical continuity test is whether source code, agent instructions, workspaces and conversation history can each be exported independently. Conductor's shutdown shows why code portability alone is insufficient.

Source ↗
🇺🇸 Meta10 places · 3 notes

The same question, answered by Meta alone. The final list above combines all the AIs.

  1. 1
    Claude Code 2026

    78.1% of cubic-reviewed AI code Oct 5 week + 64.8% Terminal-Bench, and local sessions stay on your Mac when cloud goes read-only Nov 13

    Source ↗
  2. 2
    OpenAI Codex 2026

    18.8% share, open-source Apache 2.0 CLI, 58.2% Terminal-Bench for $1.92 per task vs $14.30 for Opus 5.5

    Source ↗
  3. 3
    OpenCode 2026

    0.7% share Oct 5 but 75+ providers, free models, MIT license — workspace never leaves your machine

    Source ↗
  4. 4
    Cursor 2026

    1.6% share Oct 5 down from 10.4% peak, but editor + cloud agents + $60B SpaceX acquisition of maker

    Source ↗
  5. 5
    Coder 2026

    Self-hosted remote dev environments — you keep disks and chats after any vendor deal

    Source ↗
  6. 6
    Daytona 2026

    Open-source dev environment manager, replaces Vercel sandboxes Conductor Cloud used

    Source ↗
  7. 7
    Traycer 2026

    Free MIT multi-agent orchestrator, Mac/Windows/Linux, 19+ agents, direct Conductor replacement

  8. 8
    GitHub Copilot Workspace 2026

    Not in Bug Bench agent share, but paid plans list GPT-5.6 Sol 0.65 bug rate — cleanest model overall

    Source ↗
  9. 9
    Devin by Cognition 2026

    Hosted delegation product, cleanest hosted UX but workspace hosted — export before Nov 20 pattern

  10. 10
    Superset / Paradev 2026

    Source-available workspace, remote hosts and automations, Team $60/mo alternative to Conductor Pro $50

What Meta noticed

Claude Code wrote 78.1% of AI code cubic reviewed Oct 5 week, but its default Opus 5.5 has 1.49 bug rate worst inside Claude Code — Fable 5.1 at 1.09 is cleaner

Source ↗

Terminal-Bench 4.0 top is 64.8% ±3.1 for Opus 5.5 in Claude Code, yet same model scores 59.6% in Artificial Analysis harness — harness matters as much as model

Source ↗

Conductor Cloud workspaces become read-only Nov 13 and deletion begins Nov 20 2026 after Meta acquisition announced Nov 4 — local transfer via 'Transfer to local' is the only keep-ownership path

Source ↗
🇺🇸 Grok10 places · 4 notes

The same question, answered by Grok alone. The final list above combines all the AIs.

  1. 1
    Claude Code

    It wrote 81.4% of the AI code cubic reviewed in the week of Oct 26, and Opus 5.5 in Claude Code leads the named-harness terminal board at 64.8%.

    Source ↗
  2. 2
    Codex

    GPT-6.1 Sol inside Codex is the cleanest ranked pair at 0.76, and it ties Astra at 58.2% of terminal tasks for about $634 against Astra's $3.3k run.

    Source ↗
  3. 3
    OpenCode

    It was 0.7% of the AI code cubic reviewed in the week of Oct 5, and OpenCode says it does not store your code or context.

    Source ↗
  4. 4
    Grok Build

    Grok 4.7 in Grok Build resolves 37.6% of Terminal-Bench 4.0, and the same model scores 29.5% on day-long tasks in a different harness.

    Source ↗
  5. 5
    Amp

    On Nov 4 Amp published a one-line import for Conductor chats, and told cloud users to move a workspace to the Mac before Nov 20.

    Source ↗
  6. 6
    Pi

    Pi wrote 0.6% of the AI code cubic reviewed in the week of Oct 26, and cubic still does not rank a model inside it.

    Source ↗
  7. 7
    Coincide

    A free MIT Mac app drives Claude Code, Codex, Cursor, Grok Build, OpenCode and Antigravity with your own logins, and it does not proxy them.

    Source ↗
  8. 8
    GitHub Copilot

    Cubic says Copilot is not on its coding-agents page, so the assistant many teams already pay for has no share on this board.

    Source ↗
  9. 9
    Antigravity CLI

    Google already moved personal Gemini CLI users to Antigravity CLI on June 18, 2026, which is the kind of move this ranking is about.

    Source ↗
  10. 10
    Cursor

    SpaceX closed the acquisition on Aug 14, 2026, and Cursor's share of reviewed AI code fell from 10.6% in the week of Aug 17 to 1.8% in the week of Oct 26.

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What Grok noticed

Conductor confirmed the Meta move on Nov 4, 2026. Conductor Cloud goes read-only on Nov 13 and shuts down on Nov 20, and TechCrunch reports that cloud data deletion begins after that. The local Mac app keeps getting models and critical fixes until early 2027.

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In the week of Oct 5, Claude Code and Codex together wrote 96.9% of the AI-written code cubic reviewed. Cursor had peaked at 10.6% in the week of Aug 17 and was at 1.6% in cubic's Oct 16 article.

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On FrontierSWE v2, GPT-6 Astra leads at 65.5% and costs about $1,029.65 a trial. Claude Opus 5.5 is at 62.3% and about $98.87 a trial, in the same harness. That score does not say the workspace is yours.

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A right-click transfer to the Mac, or Settings, Account, Export data, is how Conductor says a cloud workspace and its chats leave the host before Nov 20.

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🇺🇸 Gemini10 places

The same question, answered by Gemini alone. The final list above combines all the AIs.

  1. 1
    Conductor Local (Self-Hosted Mac & Private Hardware)

    Conductor Cloud shuts down on November 20, 2026, but the local engine lets teams preserve multi-agent worktrees directly on their own machines through 2027.

  2. 2
    Claude Code CLI

    Controls 78.1% of all AI-reviewed production pull requests and tops terminal completion at 64.8% without relying on an external cloud host.

  3. 3
    OpenAI Codex CLI & Workspaces

    Captures 18.8% of shipped code and hits 58.2% on terminal challenges, backed by the 65.5% 20-hour task score of GPT-6 Astra.

  4. 4
    Daytona

    An open-source, self-hosted dev environment management plane that provides standardized parallel sandboxes on private cloud or on-prem instances.

  5. 5
    DevPod / Devcontainers

    Zero-backend desktop orchestrator that spins up agent-ready container workspaces across AWS, GCP, Azure, or local Docker without an intermediary SaaS.

  6. 6
    Gitpod Dedicated

    Automates isolated ephemeral developer environments deployed strictly inside the customer's own cloud VPC with single-tenant data boundaries.

  7. 7
    Cursor Multi-Agent Background Workspace

    Holds 1.6% of reviewed enterprise AI code while providing local desktop control paired with background cloud compute workers.

  8. 8
    GitHub Codespaces & Copilot Workspace

    Directly integrated into GitHub repositories with centralized security policies, but tied to Microsoft managed infrastructure.

    Source ↗
  9. 9
    OpenCode Engine

    An entirely open-source local coding agent harness holding 0.7% of cubic reviewed commits with unconstrained model flexibility.

  10. 10
    Modal / E2B Agent Sandboxes

    Specialized high-speed micro-VM sandboxes that boot agentic Python and bash environments in under 200ms for custom team orchestration swarms.

🇨🇳 DeepSeek10 places · 3 notes

The same question, answered by DeepSeek alone. The final list above combines all the AIs.

  1. 1
    Orca

    94.8k GitHub stars and MIT-licensed: the closest drop-in for Conductor's local worktree model, with a migration guide that opens existing workspaces in place.

    Source ↗
  2. 2
    Paradev

    Free/Pro $20 per user and a Team tier at $60; runs any CLI agent on machines you own, with iPhone review and scheduled automations.

    Source ↗
  3. 3
    Ref

    One shared doc per project instead of one workspace per agent: Ref carries context across agents and people, and can run Claude Code under your own login in the cloud or on a paired laptop.

    Source ↗
  4. 4
    boxes.dev

    Every agent gets its own cloud VM and your own Codex/Claude subscription; the closest thing to Conductor Cloud's always-on sandbox, with a vendor-lock-in warning attached.

  5. 5
    Paseo

    Free, Apache-2.0, and built to run agents on machines you control — desktop, mobile and CLI — with no hosted service required.

  6. 6
    T3 Code

    45k stars and a minimal GUI that wraps Claude Code, Codex and Cursor on your own subscription — the fastest 'npx t3code' replacement if you want simple.

  7. 7
    Emdash

    MIT, 23+ agent CLIs and 2,900+ stars: the widest agent menu in a zero-cost desktop app, though its review layer is thinner than Paradev's.

    Source ↗
  8. 8
    Crystal / Nimbalyst

    3,131 stars, MIT, and focused only on Claude Code + Codex; now continued as Nimbalyst — a narrow but honest open-source escape hatch.

    Source ↗
  9. 9
    Claude Squad

    A terminal app, not a GUI: manages Claude Code, Codex, Gemini, Aider, OpenCode and Amp in separate workspaces, with the least UI to break.

    Source ↗
  10. 10
    Conductor local app

    The Mac app still runs until early 2027, and local Git worktrees are yours — but no new models or fixes after that, so it's a bridge, not a home.

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What DeepSeek noticed

Conductor Cloud gives teams 16 days from the Nov 4 acquisition to the first data deletion on Nov 20; read-only begins Nov 13, so the practical deadline is nine days from today.

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Your Git worktrees survive the shutdown, but the chats do not: Conductor stores sessions in a local SQLite database that no alternative imports, so teams can resume the agent session but not the conversation history.

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Open-source licenses are the real ownership guarantee: Orca, Paseo, Emdash, T3 Code and Claude Squad put the workspace on your machine; Ref and boxes.dev still run the agent on someone else's cloud.

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🇨🇳 Wenxin10 places

The same question, answered by Wenxin alone. The final list above combines all the AIs.

  1. 1
    Claude Code (Anthropic) 2026

    78 % of cubic-reviewed AI code, 64.8 % on Terminal-Bench — your repo stays yours on disk.

    Source ↗
  2. 2
    Codex (OpenAI) 2026

    GPT-6 Astra pulls 58.2 % on terminal tasks but 1.13 bugs/line inside the agent.

    Source ↗
  3. 3
    Cursor (Anysphere) 2026

    1.6 % cubic share and 66 % user-owned repos — small AI share, large trust.

  4. 4
    OpenCode (open-source) 2026

    0.7 % cubic share but fully self-hosted — no one can delete your disk.

  5. 5
    Grok Build (xAI) 2026

    37.6 % on Terminal-Bench — strong terminal runner, weak on shipped-code bug count.

    Source ↗
  6. 6
    Windsurf (Codeium) 2026

    Agentic IDE with on-prem option; shares 1.6–3 % of cubic AI code reviewed.

    Source ↗
  7. 7
    Aider (open-source) 2026

    Bring-your-own-key GitHub co-pilot; 100 % local, 0 % vendor lock-in.

  8. 8
    GitHub Copilot Workspace (Microsoft) 2026

    Agentic PR mode ships fast; workspaces cloud-managed with enterprise export.

  9. 9
    JetBrains AI Assistant (JetBrains) 2026

    IDEs you already own; plug-in agents, local project files, no cloud delete risk.

    Source ↗
  10. 10
    Devin (Cognition) 2026

    Full-stack autonomous agent; cloud-hosted with staged shutdown risk after acquisitions.

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🇨🇳 MiMo10 places · 4 notes

The same question, answered by MiMo alone. The final list above combines all the AIs.

  1. 1
    Conductor (local Mac app, 2026)

    The startup got bought — but only its rented cloud dies; the local Mac app keeps every workspace on your own disk.

    Source ↗
  2. 2
    Superset (local-first agent workspace, 2026)

    Runs the agent that wrote 78% of cubic-reviewed AI code plus five rivals — from your own disk, so no acquirer can turn it off.

    Source ↗
  3. 3
    Nimbalyst (multi-agent workspace, 2026)

    The Conductor workflow where Conductor never ran at all — Windows and Linux teams get isolated git workspaces and diff review.

    Source ↗
  4. 4
    Campfire (agent workspace, 2026)

    Built for the exact moment its maker described: 'a shutdown notice is a bad time to discover your workflow lived inside somebody else's.'

  5. 5
    The Codex app (OpenAI, 2026)

    One vendor, one cloud — but it seats the model that holds the long-task record (65.5%) and 18.8% of all cubic-reviewed AI code.

    Source ↗
  6. 6
    Claude Code (Anthropic CLI and desktop, 2026)

    The default seat of the industry — 78.1% of reviewed AI code — yet it is one agent at a time, so teams grow around it.

    Source ↗
  7. 7
    CodeAgentSwarm (multi-agent runner, 2026)

    Runs the swarm where the work happens, while Conductor's description still reads 'local Mac workspaces or managed cloud sandboxes.'

    Source ↗
  8. 8
    Alethe (local-first desktop workspace, 2026)

    Agents and shells run as real processes on your machine — the list's purest answer to 'who owns the workspace if the host is bought?'

    Source ↗
  9. 9
    Orca (agent workspace, 2026)

    One of the four names a workspace vendor lists as the real post-Conductor field — after Superset, the Codex app and Nimbalyst.

    Source ↗
  10. 10
    Plain git worktrees and terminals (no host, 2026)

    The only 'place' with zero shutdown notices: no rent, no acquirer, no deletion date — and every benchmark harness already assumes it.

    Source ↗

What MiMo noticed

Conductor Cloud was live for barely three months (launched July 30) before read-only on Nov 13 and deletion on Nov 20 — the fastest proof that rented workspaces can vanish mid-project.

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One harness, Claude Code, produced 78.1% of all AI-written code cubic reviewed — the market is more concentrated than any benchmark race suggests.

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The best terminal pair (Opus 5.5 in Claude Code, 64.8%) and the best long-task model (GPT-6 Astra, 65.5%) are different seats from different vendors.

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No leaderboard scores ownership at all — the criterion that decided Conductor's users' week appears in zero published boards.

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