10x
⚡️ 10x - Up to 20x faster AI coding with multi-step Superpowers. Open-source agent with smart model routing, BYOK, fully self-hosted.
Runs with mockssource: GitHubhomepageTypeScriptMITcommit 6ea128c31173
TypeScript, MIT licensed. The project labels itself: ai agents, anthropic, claude, claude code, codex, coding agent, continue and gemini cli.
10x runs, with stand-ins for the services it depends on. An Argusic agent installed it in 8.5 minutes and hit 2 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
Build of core, shared, and CLI packages succeeded. All 234 tests pass (184 core, 50 shared). CLI binary at apps/cli/dist/index.js answers --version (0.1.0) and --help. Web build failed due to out-of-memory (SIGKILL) during Next.js static page generation.
What the agent ended up with on a clean machine, in its own words. How this is measured
Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 92 of 100 (the mean of this project's run scores).
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
What was measured
From the run that decided this verdict. Every line is a recorded value, not an estimate.
What went wrong, in the agent's own words
The agent's own words, worst first, never rewritten into advice.
- 2 router streaming tests failed with 401 Unauthorized hitting real OpenRouter API3 minutes
- bun package manager not installed (project uses bun workspaces)1 minute
- Install time
- 9 minutes
- Cold machine to finish
- 9 minutes
- Errors hit and fixed
- 2 hit, 2 fixed with no human help
- How the result was proved
- bun test in packages/core: 184 pass, 0 fail across 12 files. bun test in packages/shared: 50 pass, 0 fail. bun apps/cli/dist/index.js --version returned 0.1.0. CLI --help displays usage. ffmpeg confirmed media/header.webp is valid.
- Model tokens used
- 134,917
- Exact commit tested
- 6ea128c31173
- Container image
- sha256:cdd920bce783
What was not measured
The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.
- Peak GPU memory
- this ran on a CPU machine, so there was no GPU to sample
- Behaviour over a long run
- each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load
- Behaviour against real services
- this run was verified against stand-in services only
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
exec /bin/sh -lc 'cd /work/repo && export PATH="/home/runner/.npm-global/bin:$PATH" && echo "done" && da… succeeded in 0ms: done 1791455054 exec /bin/sh -lc 'cd /work/repo && export PATH="/home/runner/.npm-global/bin:$PATH" && echo "start_times… succeeded in 0ms: start_timestamp: 1791454559 1791455066 tokens used 134,917
Replay the whole session, every command from a clean machine to this point.
How it was tested
One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.
Strengths and limits
Measured facts, not opinions. How this is written.
What went well
- Recovered from all 2 errors without a human stepping in, which says the failures are documented well enough to solve.
- Licensed MIT, as reported by its host.
What did not, or is not known
- Only reached a running state against stand-in services, so nothing here proves it works against the real ones.
- Took 8.5 minutes to install, slower than the median of the 49 comparable projects Argusic has measured.
- Measured once so far. A single attempt shows it can run, not that it runs reliably.
Of the 50 ai-agents projects Argusic has installed and timed, 10x was the 33rd fastest to reach a running state, and 37 of 50 reached one at all.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
| tested by | attempt | outcome | score | cost USD | when |
|---|---|---|---|---|---|
| Argusic Runner | 1/3 | Runs with mocks | 92.00 | 0.07 |
Topics (from GitHub)
ai-agentsanthropicclaudeclaude-codecodexcoding-agentcontinuegemini-cliopen-code
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/10x)Questions
- Does 10x run?
- 10x runs, with mocks standing in for external services. Argusic installed and launched it on a clean machine in 9 minutes, hitting 2 errors on the way, and recorded the session.
- How did Argusic test 10x?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit 6ea128c31173. One attempt is recorded, and the full method is on the methodology page.
- What did it cost to test 10x?
- The run that produced this verdict cost $0.07: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does 10x take to install?
- 8.5 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
- Does 10x need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing 10x?
- 2 things broke in the recorded run, and 2 were fixed without human help. Each one, and the time it cost, is listed on this page.
- How does 10x compare with the alternatives?
- Of the 50 ai-agents projects Argusic has installed and timed, 10x was the 33rd fastest to reach a running state, and 37 of 50 reached one at all.
- Where is the evidence for 10x?
- The recorded run is on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.