An overview of CodeScene’s benefits
The impact of poor code quality
Do you recognise these symptoms?
Defects
- Defects are consuming developer time
- Fixing bugs is crowding out new feature development
- Defects are impacting customers and increasing churn risk
Feature Delivery
- Slow delivery is consuming developer time and eroding stakeholder confidence
- It is hard to accurately predict when work will be ready
- Delays are impacting customers and increasing churn risk
Technical Debt
- Technical debt is consuming developer time and slowing everything down
- Technical debt initiatives fail to deliver visible business value
Too many defects
Slow unpredictable feature delivery
Technical debt is hard to manage
Statistics
- 15× fewer bugs in healthy code vs the most unhealthy code
- CodeHealth™ 83% accurate vs SonarQube's 13.3% at identifying defect-prone code
- 4× more defects when CodeHealth™ scores 4–7 vs 8 and above
Statistics
- 27–43% faster development by improving CodeHealth™ to top-performer level
- 9× more likely to deliver on time with better code health
- 2× slower feature delivery in unhealthy code vs healthy code
Statistics
- Only 7.2% of organisations methodically track technical debt
- Organisations can increase delivery efficiency by at least 25% by managing technical debt
- Recognised by Gartner — Use Code Analysis to Reduce Technical Debt
How CodeScene helps
- CodeHealth™ is 6× more accurate than SonarQube overall
- Identifies which technical debt to refactor vs fix, based on how frequently code changes
- Pinpoints the highest-risk code before defects reach your customers
How CodeScene helps
- Refactoring to improve CodeHealth™ can speed development by up to 43%
- Tracks code quality trends over time, making visible where deadline pressure is compromising quality
- Shows exactly where to invest to have the biggest impact on delivery speed
How CodeScene helps
- Identifies which technical debt to refactor vs fix, based on change frequency and who is changing it
- Tracks code quality trends over time with business context
- Prioritises where to invest for the biggest return on refactoring effort
Too many defects
Statistics
- 15× fewer bugs in healthy code vs the most unhealthy code
- CodeHealth™ 83% accurate vs SonarQube's 13.3% at identifying defect-prone code
- 4× more defects when CodeHealth™ scores 4–7 vs 8 and above
How CodeScene helps
- CodeHealth™ is 6× more accurate than SonarQube overall
- Identifies which technical debt to refactor vs fix, based on how frequently code changes
- Pinpoints the highest-risk code before defects reach your customers
Slow unpredictable feature delivery
Statistics
- 27–43% faster development by improving CodeHealth™ to top-performer level
- 9× more likely to deliver on time with better code health
- 2× slower feature delivery in unhealthy code vs healthy code
How CodeScene helps
- Refactoring to improve CodeHealth™ can speed development by up to 43%
- Tracks code quality trends over time, making visible where deadline pressure is compromising quality
- Shows exactly where to invest to have the biggest impact on delivery speed
Technical debt is hard to manage
Statistics
- Only 7.2% of organisations methodically track technical debt
- Organisations can increase delivery efficiency by at least 25% by managing technical debt
- Recognised by Gartner — Use Code Analysis to Reduce Technical Debt
How CodeScene helps
- Identifies which technical debt to refactor vs fix, based on change frequency and who is changing it
- Tracks code quality trends over time with business context
- Prioritises where to invest for the biggest return on refactoring effort
CodeScene solves these issues
The reasons you should select this market-leading tool.
How CodeScene is different
The reasons it outperforms the alternatives*
CodeHealth™
The only code-level metric with a proven link to speed and quality.
Evaluated in the Code Red paper across 39 production codebases. Performing at the level of expert human developers.
Safe AI adoption
Scale AI coding safely without sacrificing code quality.
Without guardrails AI generates technical debt faster than ever. AI coding assistants increase defect risk by 30%+ in unhealthy code. CodeHealth™ analysis shows in minutes where AI coding can be safely applied today.
CodeScene ACE
AI refactoring that is validated to genuinely improve your code.
Existing AI solutions only deliver correct refactoring in 37% of cases. CodeScene ACE fact-checks every suggestion against the CodeHealth™ metric. 2 to 5× more improvements in Code Health — CodeScene & Claude Code versus off the shelf Claude Code.
Behavioural code analysis
Understand how your team works with the code, not just what it looks like.
Static analysis stops at code complexity. CodeScene goes further, combining behavioural data with code quality to reveal productivity bottlenecks, knowledge silos and risks. Plan the safe onboarding of developers into complex areas of the codebase.
Offboarding simulations
See the impact of losing a key developer before it happens.
What will happen to your knowledge distribution, team dynamics, and code maintainability if key people leave your organisation? CodeScene's offboarding simulations reveal the risks before they become a problem.
CodeHealth™ MCP Server
Enable AI coding assistants to detect and fix issues using CodeHealth™ guidance.
Without structural guidance, frontier models fix only ~20% of code health issues. With MCP-augmented CodeHealth™ data, fix rates reach 90–100% and defect risk drops by 60% as code health improves. Runs locally, model-agnostic, and supports AI assistants and agents out of the box.
*IMPORTANT - See pricing for what is included in different tiers.