Findings dashboard

Detected software waste cracks

Every crack includes cost, carbon, repair guidance, effort, risk, and expected before/after impact.

Estimated monthly waste

$1,670

$20,040 potential annual savings

Carbon reduction

92 kgCO2e

Estimated avoidable monthly impact

Image reduction

1800MB to 650MB

Smaller transfer and deployment footprint

Duplicate AI calls

38%

Avoidable calls with cache and routing

Waste Breakdown

Top cracks by monthly cost and carbon impact.

Kintsugi Score

54 to 84

Before repair54/100
After repair84/100

Before and After

Estimated impact after gold repairs are applied.

Waste findings

Structured output from the Crack Finder, Cloud Waste, and Carbon Accountant agents.

Bloated Docker image

Container Waste

HighLow
Cost
$320
Carbon
21 kgCO2e
Effort
Medium
Confidence
92%

Use a multi-stage build, prune package caches, and ship only production artifacts.

Reduce image size from 1.8GB to roughly 650MB and shorten deploy pulls.

Unused dependencies in runtime package

Dependency Waste

MediumLow
Cost
$105
Carbon
5 kgCO2e
Effort
Low
Confidence
88%

Remove unused packages and consolidate overlapping date, schema, and HTTP client libraries.

Smaller installs, lower vulnerability surface, and faster cold starts.

Redundant CI/CD jobs repeat the same work

CI/CD Waste

HighLow
Cost
$180
Carbon
14 kgCO2e
Effort
Low
Confidence
90%

Share dependency cache, split changed-package checks, and collapse duplicate transpilation steps.

Cut CI runtime from 24 minutes to 11 minutes for the main workflow.

Over-provisioned cloud service tier

Cloud Waste

CriticalMedium
Cost
$410
Carbon
28 kgCO2e
Effort
Medium
Confidence
86%

Right-size ECS tasks to the observed p95 CPU and memory profile, then apply autoscaling guardrails.

Move from fixed c6i.2xlarge capacity to smaller autoscaled tasks while preserving headroom.

Idle scheduled workloads stay warm all day

Idle Compute

HighLow
Cost
$210
Carbon
17 kgCO2e
Effort
Medium
Confidence
84%

Convert daily batch workers to event-driven jobs with a shutdown policy outside processing windows.

Remove roughly 17 idle compute hours per day from non-customer-facing workers.

Excessive duplicate AI model calls

AI API Waste

HighMedium
Cost
$290
Carbon
4 kgCO2e
Effort
Medium
Confidence
89%

Add prompt-hash caching, retry de-duplication, and lower-cost routing for deterministic summaries.

Avoid 38% of repeated model calls while preserving response quality thresholds.

Missing cache for high-volume API reads

Application Efficiency

MediumMedium
Cost
$95
Carbon
2 kgCO2e
Effort
Medium
Confidence
80%

Introduce a short-lived cache for repeated tenant dashboard reads and invalidate on writes.

Lower database load on repeated dashboard refreshes and reduce p95 latency.

Duplicate API endpoint and transform function

Code Duplication

MediumMedium
Cost
$60
Carbon
1 kgCO2e
Effort
Low
Confidence
77%

Merge duplicate reporting endpoints behind a shared transform with compatibility tests.

Reduce maintenance drag and prevent two code paths from running equivalent enrichment work.