Systems and methods for automated continual vulnerability remediation and validation

A method for minimizing software rebuild time during continuous integration and continuous deployment pipeline management using container-based code samples, the method comprising:

• receiving a first user input for creating a first rebuild code set corresponding to a first code sample, wherein the first rebuild code set comprises one or more instructions for automatically rebuilding the first code sample following one or more modifications;
• storing, in a first container, the first rebuild code set and the first code sample;
• receiving a first modification request, wherein the first modification request modifies the first code sample in the first container to generate a first modified code sample;
• in response to receiving the first modification request, executing the first rebuild code set on the first modified code sample;
• and
• after executing the first rebuild code set on the first modified code sample, validating the first container based on the first modified code sample.

One or more non-transitory, computer-readable media, comprising instructions that, when executed by one or more processors, cause operations comprising:

• receiving a first user input creating a first rebuild code set for corresponding to a first code sample, wherein the first rebuild code set comprises one or more instructions for automatically rebuilding the first code sample following one or more modifications;
• storing, in a first container, the first rebuild code set and the first code sample;
• receiving a first modification request, wherein the first modification request modifies the first code sample in the first container to generate a first modified code sample;
• in response to receiving the first modification request, executing the first rebuild code set on the first modified code sample;
• and
• after executing the first rebuild code set on the first modified code sample, validating the first container based on the first modified code sample.