Smarter audits for greener code.
Detect inefficient patterns, surface anomalies, and get AI-driven refactoring — in one workflow.
Identify high-impact files
Computational complexity, synchronous I/O patterns, and structural anomalies are surfaced and ranked automatically.
AI-powered refactoring suggestions
Each recommendation is scoped to the highest-priority anomalies with clear explanations and estimated impact.
Persistent audit history
Track recurring patterns across audits with Reports and Green Patterns views that reflect your latest findings.
Audit Workflow
What happens after you hit scan
Map suspicious hotspots fast, then rank the strongest anomaly candidates.
Compare original and optimized code with explanations tied to each file.
Persist history so the same energy-hungry patterns keep surfacing across audits.
Scan a repository or local project
Start with a GitHub repo or local folder. EcoScan will inspect structural hotspots first, then generate targeted optimization guidance for the strongest anomaly candidates.
Step 1
Paste your target
Step 2
Review anomalies
Step 3
Review across routes
Why This Works
A cleaner review loop for sustainability-focused audits
Best for
Repository triage
Use the dashboard to quickly identify which files deserve a deeper performance or sustainability pass first.
Result quality
Focused, not noisy
EcoScan prioritizes the strongest anomaly candidates so the review output stays usable even on larger repos.
After the scan
The latest scan stays portable
Move to Reports and Green Patterns in the same tab to inspect the current audit without storing shared history.