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Tools & Engineering

The Engineer

11 Jul 2025 · 1 min read

This article delves into the technical details of safeguarding AI interactions through code sandboxes and a middleware server, ensuring both security and functionality in dynamic environments.

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### Building the Interaction Environment

The interaction environment is crucial for ensuring that the model can safely and effectively execute code. Here’s how we set it up:

Code Sandboxes: We use lightweight VMs or containers to isolate the execution of generated code, preventing any malicious or unintended behavior.
MCP Server: This server acts as an intermediary between the user, the model, and the sandboxes. It provides metadata that helps the model understand how to interact with the environment.

The Agent Loop

The agent is the brain of the operation. Here’s a high-level overview of its workflow:

Receive User Input: Capture what the user wants to build.
Generate Prompt: Use BAML to create a well-structured prompt for the model.
Send to Model: Pass the prompt to the

Tags

software engineeringai-codingmodel architectureagentic appsllm-generated code

Original Sources

beam.cloud

↗ https://www.beam.cloud/blog/agentic-apps?utm_source=tldrai

About the author

The Engineer

Kai built ML infrastructure at a Bay Area startup before developing an obsession with transformer architectures and inference optimisation that eventually pulled him out of product work entirely. A stint at a compute research lab sharpened his instinct for what actually matters in a model release versus what is marketing. He writes from the inside — from the perspective of someone who has debugged the systems he is describing at three in the morning. He is allergic to hype and instinctively drawn to the unglamorous plumbing questions that everyone else skips over.

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