Now in public beta

Your codebase
talks. Listen.

AI writes code faster than ever. But is your codebase getting healthier — or just bigger? Klarix analyzes git history to surface hotspots, knowledge risks, and architectural debt so you stay in control.

84%
Of your engineers' time goes to maintenance, not features
1.7x
More bugs in AI-generated code than human-written
4.6x
Longer PR review when AI code ships without governance
The problem

Complexity hides in plain sight.

AI accelerates code generation, but nobody monitors the health of what gets produced. Codebases grow faster than teams can understand them.

Most defects cluster in a tiny fraction of your codebase — the files that change the most and grow the most complex. Without behavioral analysis, you're fixing the wrong things.

Hidden hotspots

When your senior engineer leaves, critical knowledge disappears overnight. You won't know what was lost until something breaks in production.

Knowledge silos

AI-generated code ships faster but introduces new risks. Throughput is up but success rates are declining. More code, more complexity, less understanding.

AI-accelerated debt
Features

Understand your codebase.
Know where the risks hide.

AI makes codebases grow faster. Behavioral analysis of your git history reveals the risks that static tools and code review miss.

Hotspot Detection

Find the 10% of files that cause most of your bugs.

Whether written by humans or AI, some files accumulate risk faster than others. Klarix ranks every file by change frequency, author concentration, and complexity trend — so you fix what matters, not what's loudest.

1.7xmore issues in AI code vs human-written
Hotspot AnalysisLast 90 days
src/billing/invoice.ts
94 changes·1 authorcritical
src/billing/payments.ts
78 changes·2 authorshigh
src/api/middleware.ts
61 changes·1 authorhigh
src/auth/session.ts
45 changes·3 authorsmedium
src/models/user.ts
32 changes·5 authorslow
src/utils/logger.ts
12 changes·4 authorslow
Knowledge Maps

See who knows what — before someone leaves.

AI generates code nobody owns. Humans leave and take context with them. Knowledge maps show contributor concentration per module, flag single-point-of-failure risks, and surface code that no one deeply understands.

16%of dev time on new features — rest is toil
Knowledge Distribution
2 knowledge islands
billing/auth/api/models/infra/
SK
Sarah K.
90%10%5%
AM
Alex M.
5%85%40%20%
JL
James L.
5%50%70%15%
MR
Maya R.
5%5%10%80%
Architectural Intelligence

Discover hidden coupling your diagrams don't show.

AI doesn't respect module boundaries. Files that always change together across modules reveal coupling that code review and linting miss. Klarix detects these patterns from your git history.

4.6xlonger review wait for ungoverned AI PRs
Temporal CouplingCross-module risks
billing/invoice.tsapi/routes.ts
34 co-changesStrong
auth/session.tsbilling/payments.ts
28 co-changesStrong
models/user.tsauth/permissions.ts
19 co-changesModerate
api/middleware.tsinfra/logging.ts
12 co-changesModerate
ui/dashboard.tsxapi/analytics.ts
8 co-changesWeak
AI Recommendations

Ask your codebase questions. Get actionable answers.

Natural language Q&A powered by your codebase data. Get refactoring plans, knowledge transfer docs, and risk assessments — not just charts you have to interpret yourself.

5 minfrom connect to first actionable insight
AI Assistant
klarix ai
Y
What are our riskiest modules this quarter?
K

Based on the last 90 days, here are your top 3 risk areas:

billing/— 94 changes, 1 author (bus factor risk)
api/middleware— high coupling with 3 other modules
auth/— complexity trend increasing +23%

I recommend prioritizing a knowledge transfer for billing/ and extracting the shared middleware logic.

How it works

Three steps.
Five minutes to clarity.

Connect your repos, let Klarix analyze your git history, and get actionable intelligence about your codebase.

01
+Connect GitHub

Connect your repos

GitHub, GitLab, or Bitbucket. One-click OAuth. We only read git history and metadata — never write to your codebase.

02
Analyzing 12,847 commits across 23 modules...

We analyze your git history

Change frequency, code ownership, temporal coupling, complexity trends — extracted from commits, not just code. Behavioral analysis reveals what static tools miss.

03
23 hotspots ranked by risk

Act on intelligence

See hotspots to fix, knowledge gaps to close, coupling risks to address. AI generates prioritized action plans so you know exactly where to start.

AI writes the code. Who watches the codebase?

Code is written faster than ever.
Understanding it shouldn't be harder.

Hotspots, knowledge silos, and coupling risks compound whether code is written by humans or AI. Start free, no credit card, first insights in under 5 minutes.

Pricing

Simple pricing.
No surprises.

Start free with hotspot detection. Upgrade when you need full codebase intelligence with AI recommendations.

Starter
$0

Free forever

For small teams exploring codebase intelligence.

Up to 5 repositories
Up to 10 contributors
Hotspot detection
Bus factor scores
Community support
Knowledge maps
Coupling detection
AI recommendations
Get Started
Most popular
Team
$29/seat/mo

Billed annually

Full codebase intelligence for growing teams.

Up to 25 repositories
Unlimited contributors
Everything in Starter
Knowledge maps
Coupling detection
AI recommendations
Complexity trends
Priority support
Start Free Trial
Enterprise
Custom

For large organizations

Advanced security, compliance, and dedicated support.

Unlimited repositories
Unlimited contributors
Everything in Team
SSO / SAML
Custom integrations
Dedicated account manager
SLA & uptime guarantee
Audit logs
Talk to Sales
FAQ

Got questions?

Everything you need to know about Klarix. Can't find what you're looking for? Reach out