01
Your coding agent builds features
Cursor, Claude Code or Codex stay in your development workflow and work on code and tests.
The platform after the prompt
MainPath.ai connects your AI coding workflow with repositories, CI/CD, hosting, domains, app stores and operations – standardised from the first project.
For Cursor, Claude Code, Codex and classic development workflows.
Code
MainPath.ai
Not just demo projects
Apps, websites and backends run with the same standards for repositories, pipelines, hosting and releases.
The code is only part of the product
With AI, a prototype can exist in hours. Then the work that still has to happen: repository, tests, builds, servers, domains, releases, monitoring and access.
01
Cursor, Claude Code or Codex stay in your development workflow and work on code and tests.
02
Repositories, pipelines, infrastructure and deployments follow one shared setup.
03
Every release follows the same documented process – not local scripts and manual steps.
MainPath.ai adds the part of your coding workflow that makes a project shippable and operable.
| Without a standardised platform | With MainPath.ai | |
|---|---|---|
| Repository | Structure is reinvented per project | Repositories and standards at project start |
| CI/CD | Configured after the fact | Test, build and release already prepared |
| Hosting | Manual server and DNS steps | Infrastructure connected with the project |
| Apps & stores | Releases across several consoles | Builds, signing and releases through pipelines |
| Operations | Monitoring and backups added later | Operations considered from day one |
| Ownership | Knowledge sits with individuals | Configuration and processes stay readable in the project |
Without a standardised platformStructure is reinvented per project
With MainPath.aiRepositories and standards at project start
Without a standardised platformConfigured after the fact
With MainPath.aiTest, build and release already prepared
Without a standardised platformManual server and DNS steps
With MainPath.aiInfrastructure connected with the project
Without a standardised platformReleases across several consoles
With MainPath.aiBuilds, signing and releases through pipelines
Without a standardised platformMonitoring and backups added later
With MainPath.aiOperations considered from day one
Without a standardised platformKnowledge sits with individuals
With MainPath.aiConfiguration and processes stay readable in the project
One software lifecycle. One platform.
MainPath.ai connects the steps that today sit across IDE, Git, CI, cloud, app stores and monitoring.
The project starts with a fixed structure instead of an empty folder.

01
Use your own server, Kubernetes, or an environment provided by MainPath.ai.
02
Pick stack and components, or take over an existing project. MainPath.ai creates the matching structure and pipeline.
03
Cursor, Claude Code, Codex or VS Code stay your workspace. Releases then follow the same standardised path.
Not a black box
MainPath.ai standardises the path to production without hiding code and operations in a proprietary platform.
Servers and Kubernetes clusters can run where they fit your company.
Build and release steps live in your project and follow the same standards.
Repositories, access and configuration stay with your team – not on one person’s laptop.
Permissions and changes can be traced in a structured way.

Case study
For EveLin AI the product logic around QR matching was built first. Repositories, pipeline, hosting and deployment followed the existing MainPath setup – without reinventing the technical base for the project.
Pricing
Plans start at €29 per month. Projects, users and initial resources are included. Extra workspaces, users and CI quotas can be added as needed.
What people ask before they create an account.
No. MainPath.ai complements these tools. You keep developing in your preferred editor or coding agent. MainPath.ai takes care of the standardised path around your code – from repositories and CI/CD through hosting, releases and operations.
Yes. You can connect existing servers or Kubernetes infrastructure. Alternatively, a matching environment can be provided through MainPath.ai.
Yes. MainPath.ai is not only for new projects. Existing repositories can be taken over and moved into the standardised workflow step by step.
Depending on the project, the required repositories, access, pipeline configuration and connections to the selected infrastructure and release targets are created.
No. You can work locally with your usual development environment or use a prepared cloud workspace.
Yes. CI/CD is a core part of MainPath.ai. Tests, builds and releases run through reproducible pipelines.
MainPath.ai is not meant to hide the existing stack. Repositories and infrastructure stay assigned to your project or organisation. The concrete data location depends on the infrastructure you choose.
Creating an account and a first project is free. Monthly plans and included quotas are listed under Pricing.
Start a project directly in MainPath.ai – or talk to us if you want to connect several teams, clients or your own infrastructure.