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Product

DevFlow

In-sprint quality gates on lightweight branches with pre-merge AI review

For Decision Makers

Business value, ROI, and outcomes. Understand the impact on your team and bottom line.

The Problem

Quality issues discovered at PR time cost 3–5x more to fix than during development. Testing gaps, security oversights, and performance issues compound during merges.

The Solution

Create lightweight review branches (no isolated worktree). Trigger same 4 specialized AI agents before merge. Review findings delivered in parallel with full code context.

Business Outcomes

  • Security, Performance, Architecture, Testing checked before merge
  • Findings in <5 minutes vs. 30-min code review
  • Compound learnings feed back to next planning cycle

For Engineers

Architecture, APIs, and security. Deep technical details for implementation teams.

Architecture

Creates review branch `review/{feature-name}-{short-id}`. Reuses same 4-agent review queue as ArchitectFlow but on lightweight branch (no worktree). Results returned as JSON in review_sessions table.

API Highlights

  • POST /api/v1/reviews (create DevFlow review)
  • PATCH /api/v1/workflows/:id/status (track review lifecycle)
  • GET /api/v1/learnings?category=gotcha (filter learnings by type)

Security & Compliance

  • Review findings tagged with file paths and line numbers
  • Integration with GitHub PR status checks (optional)
  • Approval gate enforced before merge (via Git hook or CI)

For Operators

Getting started, integrations, and operational setup. How to deploy and operate.

Getting Started

  1. 1.Create review session: /devflow:review --title "Feature Name" --reviewType security
  2. 2.Work on your feature branch as usual
  3. 3.Optionally wait for review: /devflow:review --wait
  4. 4.Findings appear inline with recommendations
  5. 5.Fix issues before merge; review findings auto-expire after 7 days

Key Integrations

Git branches (review/{feature-name})GitHub PR checks (optional webhook)Slack notifications (findings summary)CLAUDE.md (compound learnings)

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