Sinatra.dev
Devin by Cognition
GitHub Copilot
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Jules
Claude Code
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Google Antigravity
Codex by OpenAI
GitHub Copilot
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Claude Code
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Claude AI
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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.
Based on our record, Codex by OpenAI seems to be more popular. It has been mentiond 76 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.
Tools like Claude Code, Codex, and OpenCode have made “writing code” itself much easier. But in real development, the harder problems are different: how to keep the specification in front, how to run multiple changes safely in parallel, and where to place acceptance judgment. - Source: dev.to / 5 months ago
Coding assistants like Cursor, Windsurf, Claude Code, Gemini CLI, Codex, Aider, OpenCode, JetBrains AI etc. Have been making the news for the last few months. Yet, the choice of tools is a lot harder and limited for some of us than it seems. - Source: dev.to / 8 months ago
The following segments are specific to GitHub co-pilot but similar concepts apply to other LLM tools such as GPT codex, Claude (which would be similar to Claude skills) and on a limited level, Junie too. We will explore two methods of reusing the prompts / instructions. Both methods will have their instructions written in Markdown format, specifically the CommonMark. These files have their extension as .md. They... - Source: dev.to / 11 months ago
> incorrect, its an o3 finetune. This is Open AI's fault (and literally every AI company is guilty of the same horrid naming schemes). Codex was an old model based on GPT-3, but then they reused the same name for both their Codex CLI and this Codex tool... I mean, just look at the updates to their own blog post, I can see why people are confused. https://openai.com/index/openai-codex/. - Source: Hacker News / over 1 year ago
The big step function here seems to be RL on tool calling. Claude 3.7/3.5 are the only models that seem to be able to handle "pure agent" usecases well (agent in a loop, not in an agentic workflow scaffold[0]). OpenAI has made a bet on reasoning models as the core to a purely agentic loop, but it hasn't worked particularly well yet (in my own tests, though folks have hacked a Claude Code workaround[1]). o3-mini... - Source: Hacker News / over 1 year ago
Devin by Cognition - The first AI software engineer
GitHub Copilot - Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.
Cursor - The AI-first Code Editor. Build software faster in an editor designed for pair-programming with AI.
Claude Code - Transform hours of debugging into seconds with a single command. Experience coding at thought-speed with Claude's AI that understands your entire codebase—no more context switching, just breakthrough results.
Jules - Jules is an asynchronous agent that gets out of your way. It lets you focus on the coding you want to do, meawnwhile picking up all the other random tasks that you rather not do.
Windsurf Editor - Tomorrow's editor, today. Windsurf Editor is the first AI agent-powered IDE that keeps developers in the flow. Available today on Mac, Windows, and Linux.
