Question 1

Guardrails for LLM apps: how do you implement input/output safety in 2025?

Accepted Answer

**Target Audience:** Engineers who own a production LLM feature and have to make its safety checks fast, reliable and measurable, not just present.
**Difficulty:** Hard
**Verified with:** Node 22.22.0 and Python 3.12.3 (both examples below, identical output). Vendor facts were checked by web search in October 2026: the Amazon Bedrock user guide ("Configure streaming response behavior to filter content") and API reference (`ApplyGuardrail`), Microsoft Learn (Prompt Shields), Meta model cards (Lla

Question 2

MCP authoring: how do you build a Model Context Protocol server in 2025-26?

Accepted Answer

**Target Audience:** Engineers asked to expose a product or internal system to AI hosts through MCP, and candidates who need to talk through the build end to end.
**Difficulty:** Hard
**Verified with:** Node 22.22.0 and Python 3.12.3 (both examples, identical output). SDK facts were read in October 2026 from the published packages: `@modelcontextprotocol/server` 2.3.1, `@modelcontextprotocol/core` 2.3.1, `@modelcontextprotocol/node` 2.1.1, `@modelcontextprotocol/sdk` 1.32.1 and the Python `mcp`

Question 3

What is red-teaming an LLM application and how is it done?

Accepted Answer

**Target Audience:** Engineers and tech leads asked to "red-team the assistant before launch" who want a method rather than a list of famous jailbreak prompts.
**Difficulty:** Hard
**Verified with:** Node 22.22.0 and Python 3.12.3 (the example below, identical output). Research, tools and standards mentioned were checked by web search in October 2026: Anthropic's Constitutional Classifiers announcement (February 2025), the Crescendo paper (Russinovich, Salem and Eldan; USENIX Security 2025), sec

AI ENGINEERINGDECODED.

Hard

Guardrails for LLM apps: how do you implement input/output safety in 2025?

MCP authoring: how do you build a Model Context Protocol server in 2025-26?

What is red-teaming an LLM application and how is it done?