Public beta — first scan free

Your codebase has
a hidden diagnosis.

AI-powered technical debt analysis for engineering teams. Connect GitHub and get a complete architectural risk report in under 10 minutes.

No credit cardRead-only GitHub accessZero code retentionNo agent install
acme-corp / platform-api
SCAN COMPLETE
MRI Score
61/100
Complexity42
Security71
Dependencies55
Coverage38
AI
AI Architecture Insights
CRITICALCircular dep cluster: auth → core → auth
HIGH47 files exceed cyclomatic complexity ≥ 20
HIGHlodash@4.17 exposes 3 CVEs (GHSA-35jh)
MEDIUMCore service test coverage at 12%
Analysis complete7m 12s
12,847Repositories scanned
4.2BLines of code analyzed
< 8minAverage scan time
142Avg insights per scan
Acme CorpTechScaleBuildFastCloudBaseDataFlowInfraOpsPlatformXDevCoreAcme CorpTechScaleBuildFastCloudBaseDataFlowInfraOpsPlatformXDevCore

The Problem

Engineering leaders are making
multi-million dollar bets blind.

Every engineering team knows technical debt exists. Few know exactly where it is, how bad it is, or what it will cost them. The average team loses 23–42% of velocity to unaddressed technical debt.

You inherited 10 years of undocumented decisions.

Every new feature takes 3× longer than it should. Every hotfix breaks something unexpected. Nobody knows why.

"Technical debt" doesn't get you budget.

You know the problem exists, but you can't quantify it. Without numbers, the board says no. With numbers, you win.

A rewrite could take 18 months. Or it might already be too late.

You need a prioritized plan based on real data — not intuition, not the loudest engineer's opinion.

"What if you could see your entire codebase the way your best architect does — in one scan?"

LegacyCode MRI runs a clinical-grade analysis across every file, every module, every dependency in your system. Then AI synthesizes everything into prioritized, actionable findings. Not lint warnings. A real architectural diagnosis.

Features

Everything to eliminate
technical debt — for good.

AI Analysis

An AI that reads code like a senior staff engineer.

Most tools catch syntax issues. LegacyCode MRI understands architecture — hidden coupling, risky abstractions, and systemic vulnerabilities that only become visible at scale.

  • Up to 2M lines of code
  • Exact file and line references
  • Remediation time estimates
  • TS, Python, Go, Java + 12 more
Risk Intelligence

A single score your entire org can rally around.

The MRI Score aggregates six dimensions of health into one executive-ready metric — tracked over time, comparable across teams. Use it to justify the refactor budget.

  • 6 weighted dimensions
  • Executive-ready trend charts
  • Compare across repos and teams
  • AI modifier on critical findings
Architecture Map

See the hidden architecture inside your codebase.

Map every module relationship, circular reference, and dependency chain — rendered as an interactive graph you can explore, filter, and export.

  • Interactive DAG — zoom, filter, explore
  • Circular dependency impact analysis
  • Blast radius mode
  • Export as SVG
Debt Management

Stop tracking debt in a Notion doc no one reads.

Every issue becomes a structured, prioritized, effort-estimated debt item — ready to be triaged, assigned, and tracked. Sync to Jira or Linear.

  • Severity + effort on every item
  • Jira and Linear two-way sync
  • Filter by file, category, severity
  • Track resolution across scans
Continuous Monitoring

Every merge. Every branch. Every time.

Automatic scans on every push to main, every pull request, every schedule you configure. Watch codebase health trend over time.

  • Auto-scan on push to main
  • PR status check with risk diff
  • Slack and email alerts
  • 90-day trend history
Reporting

From scan to boardroom in one click.

Export a formatted PDF for non-technical stakeholders — risk scores, priority findings, remediation roadmap, investment required, expected velocity improvement.

  • Executive summary + full detail
  • Custom branding on Enterprise
  • Shareable link with access controls
  • One-click Jira epic creation

How it works

Connected to diagnosed
in under 10 minutes.

1

Connect

30 seconds

Authorize GitHub with read-only access. Select any repository you own. No agent install. No CI changes. No setup scripts.

2

Scan

Under 10 minutes

We clone to an ephemeral environment, run AST parsing, dependency analysis, and AI synthesis in parallel. The clone is deleted when finished.

3

Diagnose

Instant results

Your complete report is ready. MRI score, AI insights, debt backlog, dependency graph, and a remediation roadmap sorted by impact.

Read-only GitHub access
No code stored — ever
Clones deleted post-scan
Your IP stays yours

FAQ

Questions we actually get asked.