Developer Tools
Alcubi
Last updated 2026-10-06 · benchmark measured 2026-10-06 — deterministic & reproducible
Delegator is a local CLI tool for delegating coding tasks to multiple AI agents concurrently.
Alcubi at a glance
Delegator is a free local command-line tool from Alcubi that lets software developers assign coding tasks to multiple AI coding agents at once and review the finished work in an inbox when they're ready.
Good for
- Running several coding agents on different tickets at the same time without juggling multiple terminal windows
- Managing tasks that depend on one another and tracking what is done, running, or waiting
- Keeping each task isolated in its own Git branch and worktree so agents don't interfere with your own checkout
Pricing
Free
Questions people ask
Is Delegator free to use?
Yes, Delegator is free.
Does Delegator require an account or a hosted service?
No, it runs entirely on your own machine with no account or hosted queue required.
Which coding agents does Delegator work with?
It supports multiple agents including Claude, GitHub Copilot, Cursor, Codex, Goose, OpenCode, and Pi, and you can switch agents at any time.
How does Delegator keep tasks from interfering with each other?
Each ticket gets its own Git branch and worktree so several agents can work at the same time without sharing a checkout, while your main repository stays available for your own work.
Can Delegator handle tasks that depend on each other?
Yes, you can connect tickets when one change depends on another, and the 'dg map' command shows the full chain of what is done, running, or waiting.
Written by Legit.Show from alcubi.ai on 2026-10-09. It does not change the score.
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To cite this score: legit.show/s/alcubi-ai/2026-10-06. That address never changes; this page moves with every re-measure.
Legit.Show scored Alcubi 78/100 on 2026-10-06, measured across all 7 frames from its public surface. legit.show/s/alcubi-ai/2026-10-06
Is Alcubi production-ready?
Legit.Show scores Alcubi 78 out of 100 — the simple average of its 7 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on Alcubi (public-surface assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Reliability; its weakest is Privacy. Every frame it averages is published with its evidence on the Legit.Show listing.
The 7 Frames
- Performance — 92/100
- Accessibility — 96/100
- Security — 60/100How this compares across the catalogue: The Web Security Baseline
- Privacy — 25/100How this compares across the catalogue: The Privacy Gap
- Reliability — 100/100
- Standards — 100/100
- Discoverability — 75/100
What we measured
- Security headers present: X-Frame-Options, X-Content-Type-Options, Referrer-Policy.
- No Content-Security-Policy and no HSTS.
- Served over HTTPS with a valid certificate.
- Real Lighthouse performance run — 163 ms to first byte.
- Returns a proper 404 for unknown routes.
- 3 of 3 sampled routes reachable.
- No privacy policy found.
- Sets cookies / loads scripts with no consent prompt.
Who it's for
Software developers · Engineering teams · Coding agent users · Those managing multiple concurrent tasks
Pricing
Free
Sources and updates
- Description
- Taken from alcubi.ai's own website on 2026-10-06.
- Operator
- Matt McCormick, as named in alcubi.ai's terms, privacy page or footer.
- Benchmark
- Measured by Legit.Show from the live site, the way any visitor sees it — with no access to its code or accounts. Same method for every product, and no AI decides the score. Last checked 2026-10-06.
Put together from public information, without Alcubi's involvement. If anything here is wrong, tell us and a person will check it.
Visit Alcubi → · Alternatives to Alcubi → · How this was measured →