Code health shapes what your codebase is worth: to buyers, to investors, to your own roadmap.
More of your code is AI-generated every quarter. Do you know what it costs to maintain?
Echeo reveals the true cost of AI code and the true value of human labor. We analyze your codebase to predict which modules will break, which commits create debt, and how code health impacts your business outcomes.
Based on analysis of your codebase structure
See your full code health analysis
Analyzes codebases built with
Three simple steps to understand your code health and predict business impact
Secure OAuth connection to your repository
We use read-only OAuth scopes. Your code never leaves your repos.
AI-ML pattern matching on codebase structure
We analyze AST metadata to detect complexity, churn, and AI-generated patterns.
Business impact reporting and risk prediction
Get actionable insights on which modules will break and how code health impacts business outcomes.
Ready to see your code health?
Your code never leaves your repositories. We analyze metadata only.
We analyze AST metadata only. Your source code stays in your repositories.
Limited OAuth scopes. We can only read repository metadata, never write or modify.
We analyze code structure (AST), not content. No code content is stored or transmitted.
SOC2-compliant infrastructure with zero-knowledge architecture. Your code never leaves your security perimeter.
AI code is faster to write, and easier to let rot. Maintenance is where the real bill arrives.
Generative AI has driven the marginal cost of code to zero, but the cost of maintenance is skyrocketing. AI-generated code carries maintenance costs most teams never measure. Businesses need to know the true cost of AI code and the true value of human labor.
Human-in-the-loop (HITL) and agentic labor need to become symbiotic with their tooling. You have a blind spot: you can track tickets in Jira and commits in GitHub, but you can't see the technical debt or the hidden costs of AI-generated code. You don't know which module will break in production until it does, and by then, it's expensive to fix.
Data-Driven Code Health Intelligence
Echeo analyzes your codebase structure to reveal the true cost of AI code and the true value of human labor. We measure code health, predict business outcomes, and help you build a symbiotic relationship between human and agentic labor.
Cognitive Complexity Analysis
Detect "Hero Commits" before they become technical debt. Echeo flags massive code dumps that bypass review and identifies complexity that will break in production.
The Metric:
Cognitive Load Index (CLI)
Rework Ratio
Track code churn to identify problems early. When code is written and deleted within 7 days, it signals unclear requirements or skill gaps.
The Metric:
7-Day Rework Rate
Board-Level Metric
A single, board-level metric (0-100) that predicts codebase health. Aggregates complexity, churn, and architectural consistency to show how your codebase will perform over time.
The Board Report:
"Our Velocity is up 20%, but our Survivability dropped 5%. We need to pause and refactor."
Standardize the Invisible.
Treat your code like a financial asset. Know its liquidity (how hard is it to change?) and its liability (how likely is it to break?).
Stop "Shadow Standards." Ensure every commit, whether human or AI, adheres to the same structural rigor.
Identify the architectural bottlenecks today that will kill your Q4 feature launch.
It takes 5 minutes to index your repo. It takes 5 months to fix a bad architecture.
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