How AI Builds Work in Alaf Server
When you run alaf server deploy, a lot happens before your app goes live. Here's how the AI build system works.
Step 1: Framework detection
Alaf Server scans your project for signals:
package.jsonscripts and dependencies- Config files (
next.config.js,nuxt.config.ts,Cargo.toml, etc.) - Dockerfile presence
- Directory structure patterns
This produces a confidence-scored framework match. If Alaf Server detects Next.js with 95% confidence, it uses the Next.js build pipeline. If there's a Dockerfile, it uses that directly.
Step 2: Config generation
Based on the detected framework, Alaf Server generates:
- Build command -
npm run build,go build, etc. - Start command -
npm start,./server, etc. - Port mapping - Detects which port your app listens on
- Environment variables - Suggests required vars based on framework conventions
You can override any of these in alaf server.json.
Step 3: Build optimization
The AI layer optimizes the build:
- Layer caching - Dependency layers are cached separately from source code
- Multi-stage builds - Production images exclude dev dependencies
- Parallel builds - Multi-service projects build concurrently
Step 4: Health checks
After deployment, Alaf Server verifies:
- The container starts successfully
- The health check endpoint responds
- SSL is provisioned and valid
If any check fails, the deployment is rolled back automatically.
What's next
We're working on AI-powered diagnostics - when a build fails, Alaf Server will analyze the error and suggest fixes. Stay tuned.