no_humanvsOna
Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.
no_human
no_human · Autonomous SWE
#95OSSMCP
Panel
6.25 spec wins
- Reliability
- 5.7
- Usefulness
- 6.5
- Cost
- 6.8
- Longevity
- 5.8
“It runs an AI coding factory on your own machine, which is a stately way to describe the noise your laptop fan now makes.”
Ona
Ona (OpenAI) · Autonomous SWE
#31MCP
Panel
6.63 spec wins
- Reliability
- 6.7
- Usefulness
- 7.5
- Cost
- 5.0
- Longevity
- 7.3
“Automations fan a fleet of agents across your codebase on a schedule, so now the on-call rotation includes the robots.”
Spec by spec
| Spec | no_human | Ona |
|---|---|---|
| Architecture | ||
| Category | Autonomous SWE | Autonomous SWE |
| Runs | local | cloud, sandbox |
| Platforms | macos, linux, windows | web, macos, linux, windows |
| Context window | not documented | not documented |
| Protocols | ||
| MCP client | No | Yes |
| MCP server | Yes | No |
| Capabilities | ||
| Runs terminal commands | Yes | Yes |
| Multi-file edits | Yes | Yes |
| Git operations | Yes | Yes |
| Browser control | No | No |
| Sandboxed execution | No | Yes |
| Multi-agent orchestration | YesEach task runs a coder and then a separate adversarial reviewer model that never saw the coder's session, and several tasks run at once. | YesAutomations run fleets of agents triggered by pull requests, schedules or webhooks. |
| Headless / CI mode | No | Yes |
| Models | ||
| Backbone | any | OpenAI Codex |
| Bring your own model | Yes | No |
| Local models | No | No |
| Cost | ||
| Pricing model | byok | mixed |
| Starts at | $0/mo | $20/mo |
| Free tier | Yes | No |
| Bring your own key | Yes | YesA Codex subscription can be connected to a Core plan. |
| Openness | ||
| Open source | Yes | No |
| License | MIT | proprietary |
| GitHub stars | 328 | n/a |
Which one would each critic pick
| Critic | no_human | Ona | Pick |
|---|---|---|---|
| El Juez | — | — | not enough reviews |
| El Amigo | 6.5 | 6.8 | Ona — Pick Ona when you want to hand over a ticket and get a pull request without opening a branch; pick Devin if you want the same shape with a longer track record. |
| El Crítico | 5.5 | 6.3 | Ona — The recommended backbone narrowed to one lab's agent and the earlier alternative is documented as deprecated for Enterprise, so model diversity here is ending, not expanding. |
| El Profesor | 6.8 | 7.3 | Ona — Verification has a real substrate: the agent works inside an environment carrying your toolchain, permissions and network access, so a claim can be executed rather than argued. |
| La Inversora | 6.0 | 7.8 | Ona — This was Gitpod, renamed in 2025, and it is now part of the OpenAI Platform, so the cap-table question every buyer asks has already been answered. |
| La Jefa | 5.3 | 7.3 | Ona — Core starts at $20 a month with 80 to 2,200 compute units and top-ups from $10 per 40, and Enterprise runs inside our VPC with kernel-level policy and audit trails. |
| El Hacker | 7.3 | 4.5 | no_human — It ships an MCP stdio server on the official Python SDK, so my existing agent files a task with task_add and gets the whole loop behind it. |
Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.