Question

Your team is building a system that flags whether user-submitted code contains a security vulnerability before it is auto-merged. A single model pass sometimes misses subtle issues, and false negatives are costly. You want to improve reliability without building a fully model-directed agent. Which parallelization approach best fits this need?

Accepted Answer

Run the same vulnerability-check prompt multiple times in parallel and aggregate the results by voting, treating the code as risky if any run flags an issue

Answer

Split the code into independent sections and have each parallel call summarize its own section for the user

Answer

Give the model a set of tools and let it autonomously decide how many times to re-inspect the code until it is confident

Answer

Chain the analysis so each prompt passes its output to the next, refining the vulnerability judgment step by step