Measure What Matters. Fix What Hurts.

You know delivery could be faster. Detection shows you exactly what's holding it back.

See it in action

Is Your Codebase Ready For AI Agents?

Welcome to Detection by AvestaHQ

Continue with GitHub to access your dashboard

The Problem

Tech Debt Is a Feeling. Until You Measure It.

Your engineers say "we need to refactor." Your dashboards say everything is green. Meanwhile, delivery keeps getting slower and nobody can explain exactly why.

DORA shows symptoms, not causes

You know lead time is 18 days. You don't know which part is the codebase and which part is the process — so you don't know where to start.

Green dashboards. Broken delivery.

Your tools check syntax and formatting. They don't check whether your architecture has 439 boundary violations or your modules have circular dependencies. The problems that slow you down are the problems they can't see.

"We need to refactor" isn't a business case

Without numbers, tech debt stays unfunded. You need the score, the trend, and the priority list that unlocks the budget.

WHY DETECTION

What Your Dashboard Isn't Telling You

Your Tools Check Syntax. We Check Engineering.

  • Architecture violations — boundary leakages, dependency direction, layering breaks
  • Test effectiveness — not just coverage, but whether your tests actually catch bugs
  • Pipeline health — deployment flow, test stage bottlenecks, release friction

One codebase. 3,730 architecture violations. Each one slowing every change and hiding the next production bug.

Tech Debt — Now With Numbers

  • Health Score across architecture, complexity, and maintainability — so you know exactly where to improve
  • Narrative evidence you can take to the board — no translating from engineer-speak
  • Trend tracking every quarter — so you know if your investment is working

Not "we need to refactor." Instead: 951 debt/kLOC — here's what it's costing you in speed, and here's where to start.

AI Readiness Assessment

  • Your codebase scored — AI agents amplify whatever is already there, good or bad
  • Critical blockers surfaced — the ones that make changes slow, break existing features, and stall onboarding
  • Prioritised fix list to reach AI-ready threshold before you deploy agents

Health Score 3.8. Deploy agents now and they'll generate code faster — into the same broken architecture, creating bugs faster too.

How It Works

Thirty Minutes to Your First Diagnosis

No agents to install. No CI/CD to configure. No code changes required.

The Workflow

1

Connect Repository

Plug in your GitHub org. Read-only access to repos, commits, PRs.

2

Get Your Diagnosis

Architecture, complexity, maintainability scored — with narrative evidence and critical impact statements.

3

See Prioritised Actions

Hotspots show where your team works most. Violations in those areas ranked first — fix what actually slows you down.

4

Track Improvement

Trend lines after every push — health going up, lead time coming down.

Results

What Three Months Looks Like

No rewrite. Just Detection's prioritised plan and Correction to fix safely.Based on a mid-size engineering team, 80K LOC codebase.
Delivery Metrics
Lead Time
18.7 days7.2 days
Change Failure Rate
52%18%
Deployment Frequency
Bi-weeklyOn-demand
DORA Classification
LowMedium
Code Health
Health Score
2.1 / 104.8 / 10
Mutation Score
4%41%
Circular Dependencies
15623
Debt Density
78.9 pts/KLOC31.2 pts/KLOC