Sinatra vs Devin

Cognition's cloud software engineer. Compared here on Devin Cloud sessions and the Linear integration, not the Devin CLI or Devin Desktop.

Both tools take a Linear ticket and hand back a pull request. The difference is what you pay and what you hold. Devin's self-serve seats come with an allowance whose size is not published, then on-demand credits at API pricing, and Enterprise is metered in ACUs, so a task's cost is knowable only after it runs. Its paid plans reach frontier models from OpenAI, Anthropic, Google, and SpaceXAI, open-source models, and Cognition's own SWE line, and you pay Cognition for all of them, apart from the GPT share a linked ChatGPT plan can cover. Sinatra charges a flat price for the whole workspace and runs on the key or subscription you already have. Devin is the better buy if you want one vendor to own the stack, or if Microsoft Teams and an editor are how your team actually starts work.

1. Yes means the vendor's own app starts a run from the issue itself, with nothing to commit to the repo first. Sinatra's trigger is the Sinatra label that ships with the GitHub App install (`sinatraai` on the hosted app). Partial means either that a workflow file and an API-key secret have to be added per repository first, or that the mention only works on pull requests, or that starting from an issue needs a trigger or automation you configure yourself.
2. Yes means assigning the ticket to the agent in Linear starts the run. Partial means the run starts some other way: an attachment link you click, or a trigger you configure yourself against Linear's webhooks. Assignment on its own does nothing.
3. Yes means a documented HTTP API or MCP server starts a run on the vendor's hosted agent from a task the caller writes, so a script, a CI job, or an MCP client can hand off work and follow it to a pull request. Partial means only the vendor's CLI can start such a run, or the API only fires an automation saved ahead of time, or it is enabled for selected organizations only. Local agent sessions, and MCP servers that only read docs or tickets, don't count. Creating, labeling, or assigning an issue through a tracker's API, so that a tracker trigger or a saved automation picks it up, doesn't count either. Sinatra's MCP server takes an OAuth sign-in from Claude Code, Cursor, claude.ai or ChatGPT, or a personal access token; the HTTP API and the `sinatra` CLI take the token; and every run happens on Sinatra's hosted agent.
4. Yes means a changes-requested review is enough on its own: Sinatra reworks the branch and pushes the follow-up commit with no re-trigger and no mention. Partial means the agent acts only when it is @-mentioned in the thread, or only while its original session is still open.
5. Yes means your own provider API key runs the agent everywhere the product runs it. Partial means keys work on some surfaces but not the one being compared here, either because the vendor documents them as local-CLI-and-desktop only, or because it never documents them covering its cloud agent at all.
6. Yes means a Claude Pro/Max or ChatGPT subscription you already pay for authenticates the run on the vendor's hosted cloud. Partial means it works only where that CLI's login already sits on the machine: your own laptop or a self-hosted backend, not a clean cloud sandbox, or that a linked subscription pays only for one provider's share of a hosted run while the vendor bills the rest.
7. Yes means the vendor never charges you for model use itself: it runs on a key or subscription you pay a model provider for, or model use is included in a flat plan and capped by a rate limit or task quota rather than charged. When the vendor is itself the model provider, paying its own API rates on your own key counts as paying your provider. Partial means the vendor bills model use unless you bring your own key on the surface compared here. No means the vendor bills model use, as tokens, credits, or units, at cost or marked up, including usage past an included allowance. Sinatra runs on your own Claude or ChatGPT subscription or API key and never bills for model usage.
8. Both halves have to be published: the plan price, and the rate for work past the plan. A published seat price sitting on top of an undisclosed credit, compute unit, or quota size is partial.
9. Yes means the free tier states its limits as numbers. Sinatra's Free plan is 1 task at a time, plus 1 queued with no daily limit and no card, on your own subscription or API key; each request runs for up to 60 minutes, and if it needs longer Sinatra stops, keeps the changes, and picks up when you reply. Partial means a free plan exists but its limits are not published, or are published in a unit whose size isn't. No means there is no free tier, or the free tier leaves out the agent compared here.
10. Yes means the vendor supplies model access and bills for or includes that usage. Sinatra requires your own workspace API key or personal subscription on every tier, including existing and paid accounts, and does not bill model tokens.
11. Yes means an editor plugin or a desktop app; partial means a terminal CLI and no plugin or app of the vendor's own inside an editor. Sinatra is partial: the `sinatra` CLI, and an MCP server that Claude Code, Cursor, claude.ai, ChatGPT and other MCP clients can call, hand work to the hosted agent, which works in its own sandbox and comes back as a pull request. There is no editor extension, and the agent never runs on your machine. If you want an assistant working inside your editor, that is a real reason to pick one of these instead, and several teams run both.
12. Yes means mentioning the agent in a Slack channel or thread starts a run on the vendor's hosted agent. Sinatra's Slack app is connected once per workspace by an owner or admin, on every plan: mention it in a channel and it works in that thread, posting its progress and answer there and opening a pull request when the request needs code. Follow-ups in the thread continue the task.
13. Yes means you can run the agent on infrastructure you control, or the source is open. Partial means execution or inference can be pointed at your own account or your own machines while the product itself stays the vendor's and stays closed. Sinatra is hosted only; there is no self-managed build.

Competitor facts were read off each vendor's own documentation and pricing pages on October 16, 2026. Sinatra's terms reflect the current own-credential requirement.