Every feature goes through the same battle-tested 9-step pipeline
Customer or PM submits a request via any channel
Agent asks targeted questions to fill requirement gaps
Structured product document created in seconds
Team reviews and approves the engineering plan
Developers implement and open a pull request
Code reviewed against every acceptance criterion
Issues returned, code updated, re-reviewed automatically
Final sign-off with full context visible
Feature marked delivered and tracked as success
From AI-driven discovery to human approval — the full product delivery stack in one platform
Submit any feature idea — even a rough one. The AI agent probes for missing context: who are the users, what pain does it solve, what counts as success.
From your conversation, ShipFlow produces a structured PRD with problem statement, user stories, acceptance criteria, edge cases, and measurable success metrics.
PRDs are decomposed into tech-stack-aware engineering tasks with priority, complexity estimates, and dependencies — auto-populated to a Kanban board.
Connect repositories via GitHub App. Webhooks track every PR in real time — no polling, no hardcoded data. Diffs are fetched and analyzed automatically.
Every PR is reviewed against PRD requirements, acceptance criteria, security concerns, performance, edge cases, and code quality. Issues are BLOCKING or NON-BLOCKING.
Failing reviews send the feature back to FIX_NEEDED. When developers push updates, the AI automatically re-reviews. The loop runs until it's production-ready.
Humans stay in control. Reviewers see PRD, tasks, PR diff, AI review history, and outstanding issues before approving. Only approved features can ship.
Powered by Inngest — all long-running AI jobs run async with step-level progress visible inside the app. No timeouts, no black boxes.
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Join teams using ShipFlow to turn feature ideas into shipped code — with AI at every step of the way.
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