User Story: A Monorepo That Finally Built

Complex reposity failed on every PaaS. DollarDeploy's AI auto-configured the build. Worked on the first try.

The problem

A fintech team had their frontend, backend, and shared packages in a monorepo. Clean architecture, great for local development—but a nightmare to deploy.

Every platform they tried choked on the build:

• Vercel — Build paths were wrong, couldn't find the right workspace
• Railway — Dependencies didn't resolve correctly across packages
• AWS Amplify — Exceeded memory limits during the build process

Weeks of tweaking build configs, reading docs, trying workarounds. Nothing worked.

How DollarDeploy fixed it

When they connected their repo to DollarDeploy, something different happened: our DevOps AI analyzed the repo structure and suggested the correct build configuration automatically.

It identified:

• The right buildPath for each workspace
• Correct build parameters to include shared packages
• Appropriate memory limits for the build process

The app built on the first try—after weeks of failed attempts elsewhere.

Why monorepos fail on PaaS platforms

Most deployment platforms assume a simple project structure: one repo, one app, one build command. Monorepos break that assumption:

• Multiple apps share dependencies
• Build order matters (shared packages must build first)
• Each workspace may need different environment variables
• Memory usage spikes when building multiple packages

Platforms try to be "zero-config" but end up being "no-config-possible" for complex setups.

The takeaway

Complex project structures need flexible build systems. AI-assisted configuration eliminates the guesswork—you don't need to become a build tooling expert just to ship your app.

If you've been fighting with monorepo deployments, give DollarDeploy a try. Let the AI figure out the build config so you can focus on building your product.