<img src="https://secure.leadforensics.com/794635.png" style="display:none;">
Skip to content

From code metrics to business impact

Go beyond static code analysis

Static analysis stops at code complexity. CodeScene goes further, combining behavioral data with code quality to reveal productivity bottlenecks, knowledge silos and risks.

hero_powerlaw_files_nw

Code Quality, Reimagined

What sets CodeScene apart from static analysis

CodeScene’s strength is its ability to prioritize technical debt based on how your team works with the code, not just how it looks, pinpointing where poor quality slows your team down.

counter_1_24dp_FFFFFF_FILL0_wght400_GRAD0_opsz24

Prioritize what truly matters

Static analysis lacks organizational context. CodeScene prioritizes based on the organizational impact.

counter_2_24dp_FFFFFF_FILL0_wght400_GRAD0_opsz24

Adapting to shifting priorities

As product priorities shift, key developers leave, new hotspots emerge. CodeScene adapts automatically.

counter_3_24dp_FFFFFF_FILL0_wght400_GRAD0_opsz24

Connecting to business impact

CodeScene’s KPIs are the only ones that have a proven impact of developer speed and defect reduction.

Focus on what slows you down most

Prioritize key friction in development

Visualize critical code areas, link code health to business impact, and track key organizational metrics.

Validated CodeHealth™ KPIs

CodeHealth™ measures the internal code quality of the application, based on complexity, cognitive load and maintainability, linking healthy code to faster development and defect reduction. Analyze every file of your codebase.

Setting priorities with Hotspots™

Priorities in CodeScene are driven by Hotspots analysis, identifying modules where you spend most of your development time, calculated by Git activity. Unhealthy code in a hotspot that's frequently changed slows down work, increases bugs and demoralizes teams.

Prioritized technical debt

Identify key development friction, your key refactoring targets where technical debt remediation will have the greatest impact and areas where productivity is most impacted. Filter by team or authors.

“Accelerating knowledge transition by 30-40% through rich developer insights produced by CodeScene on multiple engagements.”
Vishal Goyal
Chief Architect, Persistent
"We are prioritizing technical debt as part of our "techxellence" initiative, recognizing its impact across the entire organization. As part of our OKRs, we are using CodeScene to measure and manage technical debt.”
Johannes Buvnäs
CTO, StickerApp
“Are we making a distributed monolith or are we making decoupled microservices? It can be hard to see if just looking at the repositories. I find it clear to get information from CodeScene regarding this by using the change coupling.”
Martin Bungaard
Chapter leader, DFDS
"Unearthing technical debt, identifying lost knowledge and enabling non-tech stakeholders empathy"
Ryan Bulloch
Engineering Manager, Utility Warehouse
“Explaining technical debt is very frustrating, and not having metrics or data to refer to is even worse. CodeScene solves this in a very elegant way by visualizing the problems, costs and risks but also offering solutions - in so many ways, not just technical debt.”
Christian Saleki
CTO, SmartCraft
“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.”
Maarten Metz
Principal Software Engineer, Philips
“We improved developer productivity by 45% in just 3 months across large codebases, leading to fewer defects and faster delivery.”
Vishal Goyal
Chief Architect, Persistent
“Carterra reduced their unplanned work by 82% over a twelve-month period.”
“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.”
Johannes Buvnäs
CTO, StickerApp
Go to slide 1 Go to slide 2 Go to slide 3 Go to slide 4 Go to slide 5 Go to slide 6 Go to slide 7 Go to slide 8 Go to slide 9

Measure and monitor organizational metrics

Uncover knowledge gaps and team-code misalignment. Improve collaboration and team resilience.

feature-knowledge-loss (1)

Discover knowledge silos
Knowledge Distribution in CodeScene uncovers key-person risks, knowledge silos, low system mastery, and coordination bottlenecks, helping you reduce offboarding risks, avoid merge conflicts, and keep your codebase maintainable.

feature-offboarding-nw

Mitigating the Bus Factor
CodeScene’s Bus Factor simulation reveals offboarding risks by showing how knowledge loss impacts your codebase. Identify critical areas dependent on just a few developers and build resilience before it’s too late.

feature-change-coupling-map

Visualize relationships between files with change coupling
Change Coupling reveals hidden dependencies: CodeScene identifies files that frequently change together, uncovering tightly coupled logic and architectural risks. These relationships are visualized in the hotspot map.

Built for developers, loved by teams

Transform how your team builds software

Shift left on code quality with automated code reviews, real-time code health feedback, and AI-driven refactoring in the IDE.

feature-automated-code-reviews-navy-lg-border
feature-ide-extension-navy-lg-border
feature-ide-extension-ace-navy-lg-border

Manage your tech debt with CodeScene

Analyze code history team dynamics, and knowledge distribution to identify critical hotspots, quantify improvements in dollars, and know exactly which files to prioritize first.