Backend unreachable. Displayed data is cached locally, not a live response

Dormant Feature Registry

Dormant Feature Scanner

Paste any public GitLab URL to discover which disabled features are ready to revive. Every finding is verified against live external evidence, not training-data guesses.

Paste any GitLab URL above → live ADK + Gemini scan
Instant results, no URL needed
Scan entire GitLab namespace
Instant demo Pre-analyzed, loads in 1 second, no API calls needed
Live scan Real GitLab MCP + ADK + Gemini pipeline, 90s to 4 min depending on candidates found
Quick Start

Your codebase has features you already paid for, but never shipped

NECRO scans your GitLab commit history to find disabled features, then checks whether the original kill reason still applies today. Most teams discover 4–8 revivable features per scan.

1

Paste GitLab URL

Any public GitLab repo. Agent Builder autonomously assesses history depth before scanning.

2

Verify, Not Just Find

Gemini 3 Flash checks if the kill constraint still applies today, live external evidence, not guesses.

3

One-Click Revival

Create a GitLab issue or Draft MR with full revival checklist, auto-assigned to the engineer who disabled it.

Ready to launch
Configure repos on the left and launch the autonomous agent.
Recon Plan Challenge Act Verify Report
Google Cloud Agent Builder GitLab MCP stdio Adversarial challenge Real Draft MRs

Necrosis Scanner: Dead Code Detection

The mirror of revival. Paste a public GitLab URL to find code that was deprecated or disabled but never removed, necrotic tissue still attached to a living codebase. Every finding is checked against live callers (GitLab blobs search) before NECRO suggests excising it. We never recommend deleting load-bearing code.

Scans live file content via GitLab MCP search_blobs + per-line blame dating
Instant demo Pre-analyzed cached scan, loads in 1 second
Live scan Real GitLab MCP search_blobs + per-line blame, 60–120s
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Revive Now
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Investigate
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Keep Buried
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Avg Feasibility
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Total Features

Feature Kill Timeline: kills by month

Recommendation Breakdown

How NECRO classified each dormant feature

Revival Feasibility Distribution

How easy are detected features to revive?

Kill Reason Categories

Why features were disabled

Cost-Benefit Matrix

Bubble = demand signals · top-left = easiest wins · revive investigate

Autonomous Monitor Runner
Loading scheduler…
Add Repository to Watch List
Adds repo to the autonomous scanner. NECRO will check for new dormant features every 24 hours and alert via Slack.

No repositories monitored yet.
Add a GitLab URL above to start autonomous scanning.

Revived Feature Audit Trails

This panel logs all GitLab issue actions and merge requests created by NECRO's Google Cloud Agent Builder coordinator.

Revival issues created via NECRO will appear here. Create a GitLab issue from any 'Revive Now' feature card to log it.

Stop Rebuilding Features You Already Built

NECRO finds disabled features in your GitLab repo, verifies whether the kill reason still exists, and surfaces the ones ready to revive, with cited evidence

WHAT is it?

NECRO is a multi-agent forensics system that scans your GitLab commit history using Google Cloud Agent Builder and GitLab MCP to find features, flags, and merged work that was disabled or shelved, then determines which ones are ready to revive based on whether the original kill reason still applies today.

WHY does it matter?

Dead code and dormant features are two sides of the same problem. Decisions expire. The constraint that killed a feature in 2022 may have dissolved in 2023, but nobody checks. Code stays dead. Deprecated handlers pile up. Teams reinvent shelved work from scratch. Industry estimates: $140K+ wasted per year per 25-developer team, across 30M+ GitLab users globally.

23%
Refactor overhead from dead code
4-10×
Cost to rebuild vs revive
30M+
GitLab developers affected
<2 min
URL to full report
Opportunity Cost Calculator
Dead Code Overhead/yr: $52,500
Revival Opportunity/yr: $140,625
Total Recoverable: $193,125

HOW does it work?

  1. Phase 0: Agent Builder autonomously assesses the repo: calls list_commits via MCPToolset, decides optimal scan depth, streams reasoning live.
  2. Phase 1: 6 forensic strategies detect dead features via GitLab MCP. Gemini 3 Flash analyzes kill reasons, then calls Google Search to verify whether each constraint was resolved. Every "what changed" claim is backed by a live URL and release date. An independent Vertex AI challenger stress-tests every revival case.
  3. Phase 2: Agent Builder synthesizes all findings into a ranked executive action plan. One click creates a GitLab issue or Draft MR with a revival checklist.