A background coding agent for your backlog. Assign a Linear issue, label a GitHub issue or mention it in a Slack thread; it writes the change in an isolated sandbox, runs your tests and opens a pull request. Free: 1 task at a time, plus 1 queued.
This page is designed to help you find out whether Sinatra.dev is good and if it is the right choice for you.
Sinatra is a background coding agent for teams on Linear, GitHub and Slack. Assign a Linear issue to Sinatra, add the sinatraai label to a GitHub issue, or mention @Sinatra in a Slack thread, and it works the request in an isolated cloud sandbox: it reads the code, writes the change, runs your tests, reviews its own diff and opens a pull request. Vague tickets get questions or a proposed plan first. You can message it while it works, it fixes failing CI, and it pushes revisions when a reviewer requests changes. A human always merges.
You can also hand it work without a ticket: from your terminal with the CLI (npm i -g sinatra.dev), from claude.ai, Claude Code, Cursor or ChatGPT through its MCP server, or from a script with the HTTP API.
It runs on the Claude or ChatGPT subscription your team already pays for, or your own Anthropic or OpenRouter API key. Sinatra never bills for model usage.
Plans are a flat monthly price for the whole workspace, any number of people: Free is 1 task at a time, plus 1 queued, with no daily limit and no card; Pro is $20/mo for 3 tasks at a time, plus 10 queued; Team $99/mo for 10 at a time, plus 25 queued; Scale $249/mo for 25 at a time, plus 100 queued.
Listed in
Linear, GitHub and Slack
Assign a Linear issue to Sinatra, add the sinatraai label to a GitHub issue, or mention @Sinatra in a Slack channel. In Slack it works in that thread and posts its progress there.
Isolated sandbox per task
Each task gets its own cloud sandbox with your repo cloned in, behind an audited egress proxy with short-lived, scoped repo tokens.
Tests and self-review
It runs your test command and reviews its own diff before marking the pull request ready for you.
Fixes CI and review feedback
When CI fails or a reviewer requests changes, it pushes fixes to the same branch. A human always merges.
Your own model access
Runs on your Claude or ChatGPT subscription, or an Anthropic or OpenRouter API key. Sinatra never bills for model usage.
CLI, MCP server and API
Start and follow tasks from your terminal (npm i -g sinatra.dev), from claude.ai, Claude Code, Cursor or ChatGPT over MCP, or from a script with the HTTP API.
Small engineering teams and solo founders with a backlog of well specified tickets they never get to: reproducible bugs, small features with acceptance criteria, the work that is clear enough to hand off but keeps getting pushed behind bigger things. Teams already working out of Linear, GitHub Issues or Slack who don't want another tool to learn, and who would rather run agent work on the Claude or ChatGPT subscription they already have than open a new metered account somewhere else.
I built a pet sitting marketplace with my wife. She always had features she wanted shipped and every one of them went through me, so I spent about three months building an agent she could assign tickets to instead. She writes the ticket, assigns it, and a PR comes back. She's now a big contributor to that codebase without me being in the way. I started handing it my own backlog too and eventually it turned into a product. It has been a lot harder to build than I expected, lots of edge cases, which is why it started with just Linear and GitHub issues (Slack, a CLI and an MCP server came later) and why the agent doesn't merge its own PRs, you still do that last part yourself.
TypeScript throughout. A Fastify API for webhooks and OAuth, a Temporal worker that orchestrates each agent run, Next.js for the dashboard and the site, and Prisma on Postgres. Every task gets its own Daytona sandbox with the repository cloned in; the sandbox stops when the task goes quiet and is reused for follow-ups. Model access is bring your own: an Anthropic or OpenRouter API key, or a Claude or ChatGPT subscription connected to the workspace.
It runs on the model subscription you already pay for. You assign a Linear issue, label a GitHub issue or mention it in Slack, the agent does the work in its own isolated sandbox and comes back with a pull request, and the model bill goes to your own Claude or ChatGPT subscription or API key. Sinatra never bills for model usage. The free plan is 1 task at a time, plus 1 queued, with no daily limit and no card. Pricing was the reason we built it in the first place, the agents we tried billed in credits you couldn't predict.
Pricing and entry points. Plans are one flat monthly price for the whole workspace, any number of people: Pro is $20/mo for 3 tasks at a time, plus 10 queued, and inference runs on your own Claude or ChatGPT subscription or API key, so Sinatra never bills for model usage. And it works from Linear issues, GitHub issues and Slack threads, so a team whose tickets live in Linear can assign work to the agent the way they'd assign a teammate. It also reviews its own diff and posts the findings on the PR, fixes failing CI, and pushes revisions when a reviewer leaves comments. To be honest about the limits, it doesn't work from Jira, and the agent never merges its own PRs, a person does that.
We have collected here some useful links to help you find out if Sinatra.dev is good.
Check the traffic stats of Sinatra.dev on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Sinatra.dev on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Sinatra.dev's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Sinatra.dev on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Sinatra.dev on Reddit. This can help you find out how popualr the product is and what people think about it.
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Is Sinatra.dev good? This is an informative page that will help you find out. Moreover, you can review and discuss Sinatra.dev here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
