Sinatra.dev
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Jules
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Sinatra.devSinatra.dev's answer
It runs on the model subscription you already pay for. You assign a Linear issue or label a GitHub issue, 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 Codex subscription or API key. We don't resell tokens or mark them up. The free tier is 5 tasks a day on your own credentials, every day, or 1 task a day where Sinatra covers the tokens. Pricing was the reason we built it in the first place, the agents we tried billed in credits you couldn't predict.
Sinatra.dev's answer
Pricing and entry points. The paid plan is $20 per member per month for the hosted sandboxes and orchestration, with no markup on tokens because inference runs on your own Claude or Codex subscription or API key. And it works from Linear issues as well as GitHub, 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, and pushes revisions when a reviewer leaves comments. To be honest about the limits, it only works from GitHub and Linear issues today, and the agent never merges its own PRs, a person does that.
Sinatra.dev's answer
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 or GitHub Issues who don't want another tool to learn, and who would rather run agent work on the Claude or Codex subscription they already have than open a new metered account somewhere else.
Sinatra.dev's answer
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 only works from Linear and GitHub issues right now and why the agent doesn't merge its own PRs, you still do that last part yourself.
Sinatra.dev's answer
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 runs in its own Daytona sandbox that gets cloned, worked and torn down. Model access is bring your own: an Anthropic or OpenRouter API key, or a Claude or ChatGPT subscription connected to the workspace.
Based on our record, Jules seems to be more popular. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Labs.google – The home for AI experiments like Whisk, Flow and Jules. - Source: dev.to / 8 months ago
I use https://jules.google. The UI is obviously vibe-coded garbage but the underlying system works. And most of the time you don't have to open the UI after you've set it running you just comment on the Github PR. This is clearly an unloved "lab" project that Google will most likely kill but to me the underlying product model is obviously the right one. - Source: Hacker News / 8 months ago
This is very similar to Jules by Google! https://jules.google/ Although I wish that the performance of Jules is worse than Gemini CLI. I hope that this is as good as the Claude Code CLI. - Source: Hacker News / 11 months ago
I would be surprised if this dichotomy you're painting holds up to scrutiny. My understanding is Gemini is not far behind on "intelligence", certainly not in a way that leaves obvious doubt over where they will be over the next iteration/model cycles, where I would expect them to at least continue closing the gap. I'd be curious if you have some benchmarks to share that suggest otherwise. Meanwhile, afaik... - Source: Hacker News / 12 months ago
You can already have that with Jules. It's quite impressive. https://jules.google/. - Source: Hacker News / about 1 year ago
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