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 Swarmia
Swarmia shows its value once your team puts in the manual work: linking issues, tagging work and setting up teams. Comper needs none of that. It reads your source code and full Git history directly, so you get a deeper picture from day one.
Value from day one, with no manual input
No manual input
Connect your repositories and Comper works from the code. No issue linking, tagging or team setup before you see results.
Source-code level understanding
Comper reads the code itself: architecture, dependencies, ownership and product flows, not only the activity around it.
Back in time
Comper analyses your entire Git history, so you can see how architecture, ownership and risk have changed over the years.
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
Swarmia and Comper both give engineering organizations visibility into software development and make engineering data accessible through dashboards, AI, and MCP.
Swarmia
- Engineering productivity measurement and standardized metrics
- AI adoption and impact analysis
- Developer experience surveys
- Software capitalization reports
Comper
- Productivity and AI adoption metrics from every change pushed, with no manual input
- Source-code understanding: architecture, dependencies, ownership and product flows
- Your full history: how the software evolved, and the technical risk and change impact
- The people behind it: who built what and why, and where knowledge sits across teams
Productivity metrics, built in
Computed continuously from every change pushed to your codebase. No Jira tagging, no manual configuration.
Swarmia vs Comper, side by side
| Capability | Swarmia | Comper |
|---|---|---|
| No Jira / issue tagging required | Relies on linked issues | |
| Engineering productivity metrics | ||
| DORA / delivery analytics | ||
| AI adoption & productivity measurement | ||
| Developer experience surveys | ||
| Investment / engineering allocation | ||
| Source-code-level understanding | Limited | |
| Architecture mapping | ||
| Dependency graph | ||
| Historical software evolution | Limited | |
| Code ownership & knowledge | Contributor/activity based | Code & history based |
| Change impact analysis | ||
| Product journey → technical implementation | ||
| Living technical documentation | ||
| AI-ready software context | Limited to engineering data | |
| MCP | ||
| Context for product & leadership | Engineering-focused | |
| Context for AI agents | Engineering metrics & data | Software context |
| Deployment options | SaaS only | On-prem or SaaS |
| EU hosting / GDPR |
From engineering intelligence to software intelligence
Swarmia
Engineering activity → Metrics → Insights
- Git
- Issues
- CI/CD
- AI tools
- Surveys
- Productivity
- DORA
- AI impact
- Investment allocation
- Developer experience
Swarmia helps you understand how your engineering organization is operating.
Comper
Source code + history → Software Graph → Context
- Architecture
- Services
- Repositories
- Files
- Dependencies
- Ownership
- Changes
- Product flows
- Impact
- Knowledge
- Risk
- Technical debt
- Architecture
- AI context
- Product understanding
Comper helps you understand the system your engineering organization is operating on.
Ask different questions
With an engineering analytics platform
- Which team has the longest cycle time?
- Did Cursor improve engineering productivity?
- How much time are we spending on maintenance?
- How quickly are pull requests getting reviewed?
With Comper
- What parts of our architecture are slowing this initiative down?
- What would break if we replaced this service?
- Which teams need to be involved if we rebuild checkout?
- Where is knowledge concentrated in too few people?
- Which customer journeys depend on our most fragile systems?
- Why has this part of the platform become increasingly expensive to change?
- What context does an AI agent need before changing this feature?
- What would launching our business in Japan actually require from engineering?
Different questions require a different model of the software.
One software graph. Every perspective
Software shouldn't only be understandable to the engineers who happened to build it.
Engineering
Understand dependencies, architecture, ownership, technical debt, historical changes, and impact before touching the code.
Product
Connect features and customer journeys to their technical implementation, engineering investment, complexity, and ownership.
Leadership
Understand where software investment is going, where organizational knowledge is concentrated, and where technical decisions create business risk.
AI Agents
Give agents persistent context about the systems they're modifying rather than asking them to rediscover the company one repository at a time.
The underlying software is the same.
Comper simply makes it understandable from every perspective.
Choosing between Swarmia and Comper
Why choose Comper over Swarmia?
Choose Comper when you want productivity metrics and a real understanding of the software itself, in one platform.
Productivity, investment and AI adoption metrics come continuously from every change pushed to your codebase, with no Jira tagging and no manual configuration.
And when metrics alone can't answer the question, Comper gives humans and AI agents the context: who built what and why, what depends on it, and what a change will affect.
Why choose Swarmia over Comper?
Choose Swarmia if your main problem is engineering productivity measurement.
If you need to establish engineering productivity measurement, monitor DORA and workflow metrics, measure AI adoption, run developer experience surveys, or produce software capitalization reports, Swarmia is built specifically around those workflows.
It's a strong engineering intelligence platform. And sometimes that's exactly what you need.
