Agents amplify what's in your codebase

Most codebases aren't ready for agents. CodeHealth™ is the only deterministic metric that gets you there and automatically safeguards every agent-generated change.

Leader on G2

Patented solution

AWS partner

ISO 27001 certified

For individual devs For teams

iCodeHealth™

Assess AI risk

When agents operate on unhealthy code, defect risk increases by at least 60%. Know exactly where agents can be safely applied, and where they're a risk.

Uplift legacy code first

Legacy code is the biggest bottleneck for agentic coding. Unhealthy code burns 50% more tokens. Uplift it agentically at scale, so agents actually deliver.

Automate safeguards

Agents ship code faster than teams can review it. Enforce CodeHealth™ standards in every agentic workflow, and stop technical debt before it lands.

Empowering the world's top engineering teams

For Individual Devs

Keep AI-generated code healthy, automatically. The CodeHealth™ MCP Server runs real-time checks and guides agents as you code. Model-agnostic, secure, and built for your workflow.

For Teams & Orgs

Scale AI coding without accumulating technical debt. The AI Performance Framework shows where AI will fail, safeguards AI-ready areas, makes legacy code AI-ready, and tracks impact across your projects.

Manage technical debt where it impacts delivery

As AI accelerates development, technical debt scales with it. CodeScene identifies high-impact debt, prevents debt and tracks trends so you can act before delivery slows or quality suffers.

STEP 1

Prioritize and quantify technical debt

CodeScene identifies and prioritizes high-impact technical debt to accelerate delivery and reduce defects. The CodeHealth™ metric makes progress visible as a shared KPI.

STEP 2

Enforce standards with CodeHealth™ reviews

Enforce change with automated CodeHealth™ Reviews. They act as both quality gate and coach, preventing new technical debt without slowing teams down.

STEP 3

Prevent technical debt at the source

Shift left with real-time CodeHealth™ feedback in the IDE. Identify risks early and prevent technical debt from entering your codebase.

Safe AI Coding at Scale

A practical framework to identify where AI works, where it fails, and how to apply it safely across your codebase.

Partners for 6+ years

Maarten Metz

Principal Software Engineer, Philips

“CodeScene has helped us find ways to improve the productivity of our development teams and measure our success. Ultimately improving how quickly we can deliver value to the business.“

Partners for 3+ years

Stuart Caborn

Distinguished Engineer

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

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

Partners for 2+ years

Lauren Swanson

Lead Software Engineer, Carterra

“At Carterra we reduced unplanned work by 82% over a twelve-month period thanks to CodeScene.”

Partners for 6+ years

Raja Rajeshwar

Principal Software Architect, Philips

"CodeScene is a unique tool that enables management of Technical Debt before it becomes an issue."

Partners for 3+ years

George Malamidis

VP of Engineering, Philips

AI’s promise is delivery efficiency, but efficiency without maintainability isn’t progress. CodeScene ensures we know the difference.”

Johannes Buvnäs

CTO, StickerApp

“CodeScene's Code Health Metric is fact-based and is our metric for technical debt. It guides our prioritization and empowers our business with clear metrics to guide our efforts.”

Adam Chapman

Developer, Apex Networks

"We're working with a project that's been around for a solid 15 years. Back in its early days, tight deadlines led to a few shortcuts in the code. Thanks to CodeScene, we can now sift through that technical debt, pinpointing exactly where to channel our efforts for the most impactful improvements."

Jake Maizel

Vice President, Infrastructure and Core Engineering, SoundCloud

"CodeScene provides insights into our development life cycle that no other tool we use can provide."

Johan Nordberg

Software Engineer, Active Solutions

“I’ve added instructions to my Github Copilot to always check with CodeScene MCP server before accepting changes. If the Code Health isn’t good enough, it has to try again. That has made an enormous difference. It’s not just a safeguard, it constantly reminds me to stay disciplined and not blindly accept AI-generated code.”

Xavier Greffe

Scrum Master, Bringme

"CodeScene makes it very easy to surface technical debt and assists in continuously monitoring your Code Health. It even gives you clear instructions on fixing Code Health declines."