Step-by-step: Creating reproducible test scenarios to prove Claw's value in week 1.

We're evaluating Claw for our multi-repo microservices environment. The sales pitch is "unified CI/CD for polyglot stacks," but I need to prove it works under our real-world constraints in the first week. The goal isn't full rollout; it's to create a concrete, reproducible test that demonstrates clear value and exposes the sharp edges.

Here's my playbook for week one.

**Step 1: Define the "Proving Ground"**
Pick one non-critical, but representative, service. Criteria:
* Uses at least two languages/frameworks (e.g., a Go backend with a React frontend).
* Has existing unit and integration tests.
* Has a simple Docker build.
* Currently builds in Jenkins (or GitHub Actions/GitLab CI).

**Step 2: Map the Current Pain**
Document the exact steps and pain points in the current pipeline. This becomes our baseline.
```yaml
# Example of current Jenkinsfile complexity
stage('Build and Test') {
parallel {
stage('Backend') {
steps { sh 'cd backend && make test' }
}
stage('Frontend') {
steps { sh 'cd frontend && npm ci && npm run test:ci' }
}
}
}
// Problems: Shared secrets management clunky, artifact handling manual, failure logs scattered.
```

**Step 3: Implement the Claw Scenario**
Reproduce the same pipeline in Claw, focusing on the claimed advantages.
* Use their native multi-repo triggers if that's a feature.
* Implement their secret management.
* Use their caching mechanism for dependencies.
* Produce the same final artifact (Docker image).

**Step 4: Create the Comparison Metrics**
Measure and compare these specific, tangible items:
* **Time from commit to artifact ready:** Clock both pipelines.
* **Configuration lines of code:** Count the relevant YAML/DSL.
* **Failure debugging time:** Introduce a broken test and time how long it takes to find the error log.
* **Local reproducibility:** Can a dev run the CI build locally via Claw's CLI?

**Step 5: Document the Friction**
The real value is in honest pros and cons.
* How was onboarding? How many support tickets did we need?
* Where did we have to work around Claw's limitations?
* Did it handle our monorepo or multi-repo model cleanly?

By Friday, you'll have a one-page report with:
* A side-by-side pipeline code comparison.
* Hard numbers on build time and efficiency.
* A clear list of "gotchas" and wins.
* A go/no-go recommendation for a pilot with one team.

This moves the conversation from "it looks cool" to "it saved us 4 minutes per build and consolidated our configs, but their Java support is lagging."