
Devin by Cognition
GitHub Copilot
Cursor
Codex by OpenAI
Jules
Claude Code
Ara.so
A cloud coding agent for your backlog. Assign a Linear issue or label a GitHub issue; it writes the code in an isolated sandbox, opens a pull request, runs your tests, and reviews its own diff. Free tier runs on your own Claude or Codex subscription.

Modal
Daytona
Better Stack
Spacelift.io
HarnessRouter
Sockt.dev
Molted
Open-Source AI Powered IDE That Does The Work For You

Which is more popular?
Based on our record, e2b seems to be more popular. It has been mentioned 39 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | sinatra.dev | e2b.dev |
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What each product offers, as listed by its team.


No features have been listed yet.
Possible disadvantages
Walkthroughs and reviews on video.
Sinatra demo: GitHub issue to pull request, end to end (22 seconds)
More videos
Eberlestock E2B Sniper Sled Drag Bag by TANKstore
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Sinatra.dev and e2b.
Sinatra.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.
Share your experience with using Sinatra.dev and e2b. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking Sinatra.dev since Sep 2026.
If you're building AI agents that execute code, you've probably heard of E2B. It's an awesome platform for running AI agent code in secure sandboxes. But there's a catch: you're locked into their cloud. - Source: dev.to / about 2 months ago
With some fear that corporate data could be revealed by messy AI applications, sandboxing was high on the agenda, and Matt Brockman, an AI engineer at enterprise sandboxing business E2B, explained that there really wasn’t much to be... - Source: dev.to / 3 months ago
E2B is the sandbox. It gives the agent its own computer to do work. - Source: dev.to / 3 months ago
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