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 Port
Port helps you run workflows on top of your engineering tools. Comper understands the software itself, automatically, so everyone knows how things work, who owns what and the impact of every change.
Understand the change before you orchestrate it
Built from the software itself
Comper derives its model from your source code and Git history, not only from what your tools and catalog report.
Impact before you build
Ask what a change or a whole initiative would affect, across systems and teams, before a ticket or workflow exists.
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
Port and Comper both provide context to humans and AI agents, support MCP, connect engineering systems, and enable action across the software lifecycle.
Port
- Brings your engineering ecosystem together in one place
- Governed workflows, self-service and SDLC orchestration
- Scorecards and standards
- Agent management and governance
Comper
- Deep context built directly from the software itself
- Architecture, dependencies and ownership, down to the code level
- Your full history and product flows
- Reasoning about change impact, so humans and agents act with the right context
Architecture, risk and documentation, built in
Generated from your source code and Git history on every change, not assembled from tool integrations.
Port vs Comper, side by side
| Capability | Port | Comper |
|---|---|---|
| Self-hosted option | SaaS platform, with self-hosted integrations | Fully on-prem or SaaS |
| Maintenance & administration | Data model, integrations & workflows to configure and maintain | None needed, computed from your code |
| Engineering context layer | ||
| Software catalog | ||
| Engineering tool integrations | ||
| MCP | ||
| AI agents | ||
| Agent actions | ||
| Workflow orchestration | ||
| Developer self-service | ||
| Infrastructure provisioning | ||
| Agent governance | ||
| Scorecards & standards | ||
| Source-code-derived software graph | Limited | |
| Code-level dependencies | Limited | |
| Architecture derived from software | Limited | |
| Software history & evolution | Limited | |
| Knowledge derived from code history | Limited | |
| Product flow → technical reality | Limited | |
| Change impact reasoning | Context/workflow-driven | |
| Pre-build impact analysis | Limited | |
| Context for code-changing agents | ||
| Business idea → technical impact | Limited |
Two different starting points
Port
Engineering ecosystem → Context → Orchestration
- GitHub
- Jira
- Kubernetes
- Cloud
- CI/CD
- PagerDuty
- Services
- Teams
- Policies
Context Lake
- Agents
- Workflows
- Self-service
- Governance
- Actions
Bring your engineering ecosystem together and operate it.
Comper
Software reality → Context → Reasoning → Action
- Source code
- Git history
- Architecture
- Dependencies
- Ownership
- Product flows
- Technical history
Living Software Graph
- Understand
- Reason
- Assess impact
- Plan change
- Review
- Act
Understand what exists, determine what needs to change, and give humans and agents the context to make it happen.
Ask different questions
With an agentic engineering platform
- Which services violate our standards?
- Provision an environment for this service.
- Who owns this component?
- Create a remediation ticket.
- Run our deployment workflow.
- Which agents have access to production?
With Comper
- What would we need to change to launch in Japan?
- What will be affected if we replace this service?
- Why has Checkout become increasingly difficult to modify?
- Which systems and teams need to be involved in this initiative?
- Where are the hidden dependencies?
- Who actually understands this part of the system?
- How has this architecture evolved?
- What context should an AI agent have before implementing this change?
- Can we make this change safely, and what should happen next?
From ticket execution to intent execution
The future of software development isn't just agents completing more and more tickets. It's agents understanding increasingly high-level intent.
- Today: “Fix this bug.”
- Tomorrow: “Add SSO.”
- Eventually: “Launch our business in Japan.”
The higher the level of intent, the more context the agent needs. Repositories aren't enough. Tickets aren't enough. Tool access isn't enough.
Agents need to understand the architecture, dependencies, history, ownership, product and business context of the software they're changing.
That's the layer Comper is building.
Choosing between Port and Comper
Why choose Comper over Port?
Choose Comper when the challenge starts before the workflow.
When the question isn't “How do we automate this task?” but “What actually needs to change?”, Comper builds a living model of your software so humans and AI agents can understand intent, reason through its impact and act with the right context.
From an individual code change to a company-wide initiative.
Why choose Port over Comper?
Choose Port if your primary challenge is building and operating an agentic engineering platform.
If you need developer self-service, infrastructure workflows, scorecards, standards, agent governance, approvals and orchestration across your engineering toolchain, Port is purpose-built for it.
