Shipeasy.ai

Auto-draft PRs from prod errors via Claude & Cursor

4 followers

Auto-draft PRs from prod errors via Claude & Cursor

4 followers

Production reports itself - your agent opens the PR. Errors, metric breaches, and user reports land as one triaged queue. A scheduled coding agent picks up each item and opens the fix as a reviewable pull request.

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Launch tags:Software Engineering•Developer Tools•Artificial Intelligence

Launch Team / Built With

Zendesk for StartupsUp to 2 years free for startups + AI Agents & Copilot

Promoted

Maker

📌

Hey PH! 👋 We built Shipeasy.ai because we were sick of 2 AM pages and digging through stack traces across three different dashboards just to write a 5-line fix. Instead of babysitting dashboards, Shipeasy turns production errors, metrics, and user feedback into a single triaged queue. Then, your coding agent (Claude Code, Cursor, Copilot) picks up open items and drafts ready-to-review PRs while you sleep. How it works: 1-One queue: Errors, alerts, and feedback land in one place 2-Auto-PRs: AI agents reproduce the bug, write the fix, and open a PR 3-Human control: You stay on review—nothing merges without your approval You can set it up in 2 commands: npm install -g @shipeasy/cli -> shipeasy setup. We’d love to hear your thoughts! How does your team handle production errors today? 👇

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2mo ago

Maker

We’d love to hear your thoughts 😊😇

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2mo ago

Forum Threads

p/shipeasy-ai

•

1mo ago

Kill switch your agent can pull

We trusted agents to code, but we still trusted ourselves to spot when to say stop.

That was the mistake.

p/shipeasy-ai

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1mo ago

How we killed manual triage with an ops queue

We used to treat every prod failure like a scavenger hunt check Cloud Build, check logs, copy stack trace, write ticket, ping Slack, hope someone sees it.

The failure wasn't expensive. The queue that didn't exist was.

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