Your autonomous software team. Assign Linear, Jira or GitHub issues to an AI coding agent team, or delegate work from your AI assistants. The team plans, builds, reviews and tests pull requests, so you get a verified outcome.
A startup from The Netherlands, founded by Önder Ceylan.
This page is designed to help you find out whether SHIP AI is good and if it is the right choice for you.
SHIP AI is an autonomous software delivery platform where a team of AI coding agents takes backlog tickets, then plans, builds, reviews, and tests the work and delivers a pull request with proof it works.
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API-First Approach
Every feature has a REST API at api.letsship.ai/v1, with an OpenAPI reference. The web app, the CLI and AI agents all use the same API.
CLI
Run missions from your terminal with the ship command. Install it with npm install -g @lets-ship/cli.
MCP Server
Hosted MCP server at https://mcp.letsship.ai/mcp. Start and follow missions from Claude, ChatGPT, Cursor or VS Code. Sign in with OAuth or a personal access token.
A2A Protocol
Other AI agents can hand work to SHIP over A2A 1.0. The agent card is at letsship.ai/.well-known/agent-card.json. They can turn a task into a pull request, review and test a pull request, and stop a task.
Issue Tracking
Assign Linear, Jira or GitHub issues to SHIP.
AI agent team
A Planner, a Builder, a Reviewer and a Tester each do one stage of every mission.
Coding Agents
Each role runs the coding agent and model you choose: Claude Code, Codex, OpenCode, Kilo Code or the pi coding agent.
Pull requests
Your CI, an automated code review and a test of the acceptance criteria each gate the pull request, so you get a verified result.
Preview
Each pull request can get a preview environment deploy, and the Tester checks the change on it.
Scheduled Tasks
Run maintenance missions on a schedule, such as a weekly dependency upgrade.
Reporting and Analytics
SHIP reports what each mission cost, with session logs and proof such as test traces and screenshots.
SHIP is an autonomous software team of AI coding agents. Assign it a Linear, Jira or GitHub issue, and a Planner, a Builder, a Reviewer and a Tester take it to a pull request in your own repository. Before a person reads that pull request, it has passed your CI, a code review against the plan and acceptance tests on a live build. You choose the coding agent and model for each role, so your Reviewer can use a different provider from your Builder. SHIP reports what each stage cost, at the list price of the model that served it.
Keep what you already have. SHIP works in your repository, your CI and your git workflow, and your delivery pipeline deploys previews with its own secrets, so SHIP never holds your cloud credentials. Run every role on your own model provider credentials at your provider's rates. Pay per mission: one credit covers a mission of up to 3 agent-hours, and pack credits never expire. In the published SWE-in-a-team benchmark, 7 of 13 SHIP builder configurations resolved all 20 tickets through CI, review and tests.
SHIP is built for solo founders who need help with their backlog, software engineers who send issues from a terminal or coding agent, engineering teams that plan in Linear, Jira or GitHub Issues, engineering leaders who need cost and delivery figures per pull request, and open-source maintainers who triage GitHub issues.
SHIP was founded in 2026 in the Netherlands by Önder Ceylan. It started from one question: can a team of AI coding agents take an issue to a pull request that a person can trust without rework? Every SHIP pull request passes CI, code review and acceptance tests before anyone reads it. The SWE-in-a-team benchmark measures this on 20 real tickets and publishes the results.
SHIP runs each agent in its own isolated, secure and ephemeral container sandbox in the cloud. Every feature has a REST API with an OpenAPI reference. AI assistants connect through a hosted MCP server, and other agents connect over the A2A protocol. The agents run Claude Code, Codex, OpenCode, Kilo Code or the pi coding agent.
We have collected here some useful links to help you find out if SHIP AI is good.
Check the traffic stats of SHIP AI 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 SHIP AI 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 SHIP AI'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 SHIP AI 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 SHIP AI on Reddit. This can help you find out how popualr the product is and what people think about it.
Do you know an article comparing SHIP AI to other products?
Suggest a link to a post with product alternatives.
Is SHIP AI good? This is an informative page that will help you find out. Moreover, you can review and discuss SHIP AI 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.
