Know what to fix, why it matters, and what it costs.
KodeGauge scans your repositories for exploitable risk, performance bottlenecks, technical debt, and cloud waste. It ranks issues by business impact and prepares validated fixes for your team to review in GitHub.
KodeGauge impact report
Live repository scan
Repository
acme/api-service
Dependency exposure
13 critical
Capacity bottleneck
200 RPS ceiling
Cloud waste
$42K / year
Technical debt
31 quick wins
The Problem
Code problems hide in plain sight.
Most code scanning tools tell you what's wrong with your code. They don't tell you why it matters or how much it costs.
Engineers find issues faster than ever, but you're drowning in findings without business or security context. You can't tell if that CVE is being actively exploited, or if fixing that inefficiency saves $50/month or $500K/year.
KodeGauge bridges that gap. We scan your repository, uncover technical debt and security risk, cross-check vulnerabilities against real-world exploitation data, estimate cloud cost impact, and map performance bottlenecks — so you can prioritize what actually matters, and fix what's safe to automate.
Too many findings
Scanners surface hundreds of issues. You can't tell which ones matter.
No business context
Raw linter output doesn't explain risk, cost, or priority.
Hidden cost impact
You can't tell if fixing an issue saves $50/month or $500K/year.
Security noise, not signal
A hundred CVEs, all labeled "Critical." You can't tell which one is theoretical and which is being exploited right now.
How KodeGauge creates momentum
From repository scan to a review-ready fix.
KodeGauge turns hidden code risk into the next clear, safe action—without leaving your engineering workflow.
acme / api-service
GitHub repository
KodeGauge scan
Analysing in parallel
EPSS + CVEs
Capacity ceiling
Cloud waste
Complexity
Fix first
Ranked by business impact
Validated change
Safe to automate
Review-ready fix
fix/connection-pool-sizing
−poolSize: 5
+poolSize: 20
Connect a repository and uncover the risks, waste, and bottlenecks that normal code review misses.
A complete view of repository health before a problem reaches production.
acme / api-service
GitHub repository
KodeGauge scan
Analysing in parallel
EPSS + CVEs
Capacity ceiling
Cloud waste
Complexity
Fix first
Ranked by business impact
Validated change
Safe to automate
Review-ready fix
fix/connection-pool-sizing
−poolSize: 5
+poolSize: 20
- Security and dependency exposure
- Performance and capacity bottlenecks
- Cost and carbon waste
From raw code to a clear next action.
Why KodeGauge
One scan. A clearer next step.
Bring security, cost, and resource impact into the same conversation.
Prioritize real security risk
See dependency findings alongside exploitability signals and a clear fix order.
Find avoidable spend
Connect performance bottlenecks to estimated infrastructure cost and effort.
Measure resource impact
Review estimated energy and carbon savings from the fixes you make.
Know the risk. Choose the next fix with confidence.
Bring repository health, prioritization, and modelled impact into one view your team can investigate.
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