A new multi-agent squad is forming across three time zones. Developers currently install conflicting Python packages locally, lack shared AI coding instructions, and onboarding takes weeks. You must specify developer tools and environments that support a healthy SDLC. What should you propose?
Select an answer to reveal the explanation.
Short Explanation
Correct answer: B. Architects specify SDLC tooling: dev containers, VS Code extensions, CLI, dependency management, and AI instructions. Portal-only (A) hurts local iteration and review. Unpinned deps (C) break builds. Secrets in READMEs (D) are a security failure. Reproducible, documented environments speed multi-agent development.
Full Explanation
The skills measured include specifying developer tools and environment to support the SDLC—dev containers, Visual Studio Code extensions, CLI, dependency management, and AI instructions. Multi-agent stacks (Agent Framework, LangGraph, MCP SDKs) are sensitive to version skew; containers and lockfiles stabilize onboarding. Shared AI instruction files (for example, repository guidance for coding agents) improve consistency of generated scaffolding. Option A removes productive inner loop. Option C causes “works on my machine” failures. Option D violates secrets management. Combine this with IaC and CI so local and pipeline environments converge.