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Features

Auto-Run and Auto-Fix

Auto-Run and Auto-Fix closes the loop between generated code, runtime feedback, and repair.

Guide
Automatically execute generated backend code and capture runtime errors.
Use observed errors to guide AI fixes and retry execution.
Reduce manual debugging work when generated code fails because of configuration, dependency, or logic issues.

What this solves

This guide helps developers use Auto-Run and Auto-Fix as part of an AI backend delivery workflow instead of treating generated code as an unverified output.

When to use it

Use it when a generated backend needs to be inspected, executed, repaired, documented, deployed, or monitored by the team responsible for the software.

Step-by-step workflow

Run the generated backend, capture errors, review the failure context, let Nerdics apply targeted fixes, and retry until the runtime reaches a usable state.

Expected result

The generated backend is validated against observed runtime behavior instead of only static code output.

Common issues

Most issues come from incomplete requirements, missing runtime configuration, unclear data models, or API behavior that has not been validated with logs and documentation.

Need a missing topic?

These docs are structured for the Nerdics backend engineering workflow. Additional guides can be added under the same left navigation groups as the product surface expands.