Background
New! PR Refactoring Agent

The Only Deterministic Code Health Metric

Every CodeScene tool is built on CodeHealth™. Assess technical debt and AI risk, mitigate both at scale, and deliver agentic speed with high code quality.
Leader on G2
Patented solution
AWS partner
ISO 27001 certified
For developers For teams
iCodeHealth™
10
9
Optimal AI code
8
7
6
5
4
3
2
1
Critical: High AI risk

Assess AI risk

The average enterprise Hotspot Code Health scores 5.15 of 10. AI needs 9.4 to stay safe. Know exactly where you stand.

Uplift legacy code first

AI agents hit 60% higher defect risk and burn 50% more tokens in unhealthy code. Reduce tech debt at scale, so agents actually deliver.

Enforce guardrails

Enforce automated guardrails across your team's agentic workflow, mitigating tech debt in every AI-generated change.

Empowering the world's top engineering teams
The journey of AI software development

From first pilot to autonomous fleets, without losing the codebase

We help engineering organizations transform safely across three phases, holding Code Health to the 9.5 rule at every step of the journey.

9.5 The 9.5 ruleThe bar every merge clears, end to end.
PHASE 1
Pre-AI

No AI in production dev work or AI only in walled-off test teams.

The 9.5 rule
Code Health 8.1/ 9.5

Set your Code Health baseline and gate every merge before AI lands.

Govern & steer Assess AI readiness, set guardrails
Purpose
  • Define your productivity baseline
  • Prioritize technical-debt remediation
  • Gate your code at the 9.5 bar
Developer tools
CH PR Gates Code Health PR Gates. Block merges that drop Code Health below your 9.5 bar. CC PR Gates Code Coverage PR Gates. Enforce test-coverage thresholds on every pull request. IDE Plugin Live Code Health feedback inside the editor, as you type. REST API Pull Code Health and engineering metrics into your own systems.
Leadership tools
Quality Track Code Health trends across every repository and team. Goals Set and monitor improvement targets per team and per quarter. Organisation See knowledge distribution and bus-factor risk across the org. AI Readiness Gauge whether a codebase is healthy enough to adopt AI safely. PR Engagement Monitor review depth, latency and participation. IDE Engagement See where and how AI assistance is used in the editor.
Risk

Risk without us Code health decline and being unable to adopt AI safely.

Customer proof
-32%critical hotspots

"We mapped our baseline and cleared a third of our worst hotspots before rolling out AI."

Nordic fintech, 220 engineers
PHASE 2
AI-Assisted

AI coding assistants in daily use, from team rollout to org-wide governance.

The 9.5 rule
Code Health 9.2/ 9.5

Hold every AI-assisted PR to the 9.5 rule, no drift, no exceptions.

Govern & steer Org-wide policies, gates & PR standards
Purpose
  • Safeguard AI-generated code
  • AI-assisted uplift of your code
  • Measure productivity performance
Developer tools
CH PR Gates Code Health PR Gates. Block merges that drop Code Health below your 9.5 bar. CC PR Gates Code Coverage PR Gates. Enforce test-coverage thresholds on every pull request. IDE Plugin Live Code Health feedback inside the editor, as you type. REST API Pull Code Health and engineering metrics into your own systems. MCP Server Serve CodeScene context to AI agents over the Model Context Protocol. PR Ref. Agent PR Refactoring Agent. Proposes fixes targeted at your real hotspots. CLI Run Code Health checks in any pipeline or agent workflow.
Leadership tools
Quality Track Code Health trends across every repository and team. Productivity Measure delivery throughput and where engineering time is really spent. Goals Set and monitor improvement targets per team and per quarter. Organisation See knowledge distribution and bus-factor risk across the org. PR Engagement Monitor review depth, latency and participation. IDE Engagement See where and how AI assistance is used in the editor. MCP Engagement Track agent activity and context usage across fleets.
Risk

Risk without us Up to 60% higher defect risk. Productivity gains hard to prove.

Customer proof
-38%time in code review

"Every AI-assisted PR now clears the 9.5 bar and review time fell by more than a third."

Global SaaS platform, 600 engineers
PHASE 3
Agentic & Autonomous

AI agents take action across supervised, scoped tasks through autonomous fleets.

The 9.5 rule
Code Health 9.6/ 9.5

Bind autonomous agents to the 9.5 rule before any merge reaches main.

Govern & steer Steer agent fleets, trust calibration
Purpose
  • Safeguard & guide agents
  • Deploy and scale agentic workflows
  • Optimize AI performance & token spend
Developer tools
REST API Pull Code Health and engineering metrics into your own systems. MCP Server Serve CodeScene context to AI agents over the Model Context Protocol. CLI Run Code Health checks in any pipeline or agent workflow.
Leadership tools
Quality Track Code Health trends across every repository and team. Goals Set and monitor improvement targets per team and per quarter. Organisation See knowledge distribution and bus-factor risk across the org. MCP Engagement Track agent activity and context usage across fleets.
Risk

Risk without us Degrading agent performance. Token spend climbs 25% to 50%.

Customer proof
-41%token spend

"We scaled supervised agent fleets and cut token spend while throughput kept climbing."

Enterprise infra team, 1,200 engineers
Map your AI readiness Read the research Hover any tool for details. Click to open it.

For Developers

The CodeHealth™ MCP server creates a self-correcting loop inside your AI coding assistant to safeguard AI-generated code and make legacy code AI-ready.

Read more

For Teams

The AI Framework assesses where AI is safe to apply, safeguards AI-ready areas, uplifts unhealthy code for AI at scale, and tracks measurable impact and ROI.

Read more

Research behind CodeHealth

Every CodeScene tool is grounded in peer-reviewed, award-winning research, founded on our CodeHealth™ metric. 
Read more
AI risk

At least 60% higher defect risk

60%+ higher AI defect risk when agents work on unhealthy code. Tornhill, Borg 2026. Study of 5.000 programs across 6 LLMs.

Higher token spend

Up to 50% more token spend

More tokens burned by agents on unhealthy codebases, for the exact same task. Tornhill, Borg, 2026.

9.4 Rule

AI agents need higher Code Health

Agents need 9.4 threshold in Code Health to work reliably, even higher than humans. Tornhill, Borg, 2026.

Industry benchmark

Enterprises are far from ready

Most industrial codebases are not ready for the agentic era. Average Hotspot Code Health in IT sector as an example is 5.15. Tornhill, Borg, 2026.

Benchmark Claude Code

Unguided Claude fails

The CodeHealth™ MCP takes Claude from improving code health in 20% of refactoring tasks to 90–100%, on the same tasks.

6x better metric

Prevent technical debt at the source

CodeHealth outperforms established alternatives, performing 6x better than SonarQube’s metric on a public benchmark and outperforming the traditional Maintainability Index.

Get CodeScene
AI Playbook

Get the AI Playbook and build a self-correcting workflow.

CodeScene AI Playbook
Stuart Caborn
Maarten Metz
Succeeding with AI
Partners for 3+ years

Stuart Caborn

Distinguished Engineer
“We can now explain the business impact of AI-assisted development, backed by data.“
Partner Logo

From 0 to 50% agent-assisted code within five months while increasing throughput and maintaining high code quality.

How AI impact is measured
Partners for 6+ years

Maarten Metz

Principal Software Engineer, Philips
“CodeScene prioritises the biggest bottlenecks in our projects. It finds code improvements that give the biggest improvement in the development and maintenance of our codebase.“
AI Readiness

Succeeding with AI

CTO, Innovate Inc
Ensure your code is maintainable and ready for AI assistants to work effectively.