Know what to fix and what it’s costing you.
KodeGauge scans your repository for exploitable risk, performance bottlenecks, and cloud waste. It ranks every issue by real business impact, then prepares validated fixes for your team to review in GitHub.
Works Across Your Stack
From application languages like Python and TypeScript to infrastructure tooling like Terraform, Helm, and CloudFormation.
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
What sets KodeGauge apart.
From confirmed security risk to cloud cost to carbon impact, KodeGauge gives every stakeholder a report in the language they already use — engineering, security, finance, and sustainability.
Not every vulnerability is equally urgent. We tell you which ones already are.
Every dependency finding is cross-checked against CISA's Known Exploited Vulnerabilities catalog and FIRST.org's EPSS exploitation-probability data — so a theoretical CVE and one being actively exploited in the wild never get the same priority.
Confirmed active exploitation, flagged straight from CISA KEV
Real-dollar breach exposure per issue, not just a severity label
SBOM export (CycloneDX) for compliance and procurement
The same inefficient code paths that waste cloud spend also waste energy.
Every scan now estimates the kWh savings, monthly CO2 reduction, and portfolio-level footprint you could unlock by fixing flagged issues, using the Green Software Foundation's Software Carbon Intensity specification.
Estimated kWh saved per issue
Monthly CO2 equivalent using EU grid averages
Portfolio-wide footprint across repositories
See What's Under the Hood
- Concurrent model analysis
- Database pool & query time detection
- Worker and thread configuration mapping
- Cache layer identification
- Frontend and backend bottleneck detection
Quantify Infrastructure Impact
- Estimated throughput (req/sec) with your current specs
- Database ceiling limits
- Memory usage projection
- CPU bottleneck detection & scaling readiness
- Cloud cost estimation for suggested improvements
Security & Risk Intelligence
- CVE detection across every dependency manifest
- EPSS exploitation probability + CISA KEV confirmed-exploit flagging
- Dollar-value breach exposure per finding, not just a severity label
- Hardcoded secret detection
- SBOM export (CycloneDX) for compliance and procurement
AI Explains & Fixes It
- Plain-English issue summaries
- Business impact translated from technical metrics
- Fix priority ranking & effort estimation
- Validated auto-generated fixes for safe issues
- Every fix opens a reviewable pull request — nothing merges automatically
Historical Visibility
- Track repository health over time
- Monitor cost baseline changes
- Measure improvement impact
- Trend analysis by issue category
- ROI calculation for fixes
GitHub-Native Workflow
- Direct GitHub integration
- Scan on demand or on schedule
- Results in your workflow
- No new tools to manage
- Works with your current process
Know your code. Control your costs. Reduce your risk.
Get a clear picture of repository health, infrastructure efficiency, and technical debt impact in one scan.
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