Computed, not maintained
Health scores, ownership, and architecture are computed directly from real Git history and static code analysis. No manual YAML registration, no stale portal data.
Comparison
Comper vs CodeScene
CodeScene helps you keep your code healthy and pay down technical debt. Comper does that too, and connects your whole software landscape to product and business intent, so everyone knows what an idea will affect and what needs to change before it's built.
From code health to company-wide change
Starts above the code
Begin with a product idea or business goal and see which systems, repositories and teams it affects.
Across your whole landscape
One living software graph that connects every repository, service and dependency, with nothing to maintain.
Context for everyone
Product, leadership, engineers and AI agents work from the same context, from a single change to a company-wide initiative.
Why Comper?
Legacy engineering tools force teams to buy, integrate, and maintain three or four separate platforms. Comper consolidates software context, engineering metrics, developer portal visibility, and code quality into a single, automated spatial canvas.
Category-unique spatial canvas
An infinite, living, zoomable visual map connecting repositories, architecture diagrams, and team ownership in real time.
AI-agent native infrastructure
Native Model Context Protocol (MCP) context, AI tool adoption tracking, and agent-readiness scoring designed specifically for the AI coding era.
3-in-1 platform consolidation
Replace separate subscriptions for engineering productivity (Swarmia), developer catalogs (Backstage/Port), and code quality engines.
Internal Developer Platform (IDP)
Provides the foundations, services, and standards that enable developers to build and ship software efficiently.
Code Analytics
Provides visibility into code health, quality, and engineering metrics to drive better decisions and outcomes.
Productivity Tools
Help developers and engineering leadership plan, build, test, collaborate, and deliver software more effectively.
Software Context
The shared understanding of the codebase, systems, architecture and developer activity that connects everything.
Same landscape, different lens
CodeScene and Comper both analyze software and Git history, understand ownership and knowledge, surface technical risk, identify dependencies, support developers inside their workflow, and provide context to AI agents.
CodeScene
- Deep code-health analysis and technical-debt prioritization
- Behavioral code analysis and hotspots
- Quality gates on pull requests
- AI-assisted refactoring
Comper
- Connects the technical landscape to product and business intent
- Cross-system impact of an idea, before it's built
- Productivity, investment and AI adoption metrics from every change
- Context for humans and agents to act across the whole landscape
From product intent to technical reality
Generated from your source code and Git history on every change, across every repository.
CodeScene vs Comper, side by side
| Capability | CodeScene | Comper |
|---|---|---|
| Source-code analysis | ||
| Git history analysis | ||
| Code health | ||
| Technical debt | ||
| Hotspot analysis | ||
| Knowledge distribution | ||
| Bus-factor / knowledge risk | ||
| Code ownership | ||
| Change coupling | ||
| Architecture views | ||
| PR analysis | ||
| AI coding support | ||
| MCP | ||
| Automated refactoring | ||
| Code-quality gates | ||
| Cross-repository software graph | Limited | |
| Product flow → software implementation | ||
| Product-level engineering investment | Limited | |
| Business intent → technical impact | ||
| Pre-build initiative impact | Limited | |
| Cross-system change reasoning | Limited | |
| Context for Product & Leadership | Code-health focused | |
| High-level intent → agent action | Limited | |
| Deployment options | On-prem or cloud | On-prem or EU-hosted SaaS |
Two different questions
CodeScene
Code + Git history → Code Intelligence → Improvement
- Source code
- Commits
- Authors
- Complexity
- Code smells
- Change frequency
- Code Health
- Hotspots
- Knowledge risks
- Change coupling
- Technical debt
- Prioritize
- Refactor
- Review
- Improve
Make the code easier and safer to change.
Comper
Software + history + product context → Living Software Graph → Change
- Source code
- Git history
- Architecture
- Dependencies
- Ownership
- Product flows
- Engineering investment
Software context
- Understand intent
- Determine impact
- Plan change
- Coordinate humans and agents
- Act
Understand what should change and make it happen.
Ask different questions
With CodeScene
- Where is our highest-priority technical debt?
- Which hotspots have poor Code Health?
- Where are our knowledge silos?
- What code will become risky if this engineer leaves?
- Which files change together?
- Did this PR make our code harder to maintain?
With Comper
- What needs to change if we introduce subscriptions?
- Which parts of Checkout depend on this legacy service?
- What will launching in Japan affect?
- Which teams and repositories need to participate in this initiative?
- Why has this customer journey become increasingly expensive to change?
- Where does product complexity map to architectural complexity?
- What context should an agent receive before executing this initiative?
- Can we make this change safely, and what should happen next?
Improving software vs. changing the company through software
CodeScene is particularly strong when the problem is: “Our code is becoming expensive and difficult to maintain.”
Comper is built for a broader problem: “Our software has become too complex to understand every time the company wants to change something.”
That matters more as AI agents are asked to take on larger pieces of work, not just help developers write code.
The bottleneck moves from writing code to having enough context to know what should be changed.
Choosing between CodeScene and Comper
Why choose Comper over CodeScene?
Choose Comper when the question starts above the code.
When Product says “Change onboarding”, Leadership says “Enter a new market”, Engineering says “Replace this platform”, or an AI agent needs to work out “What actually needs to happen?”, Comper connects that intent to the technical reality underneath it.
Then it gives humans and agents the context to reason about the impact and act.
Why choose CodeScene over Comper?
Choose CodeScene if your primary goal is improving maintainability and systematically managing technical debt.
If you want rigorous Code Health metrics, hotspot analysis, knowledge-loss detection, quality gates and AI-assisted refactoring, CodeScene has spent years specializing in exactly that problem.
