pydantic-monty investigation
Summary
An investigation into pydantic-monty, a minimal Python interpreter in Rust for sandboxed execution, confirming that its security limits (duration, memory, allocations, recursion) work as intended.
View Cached Full Text
Cached at: 05/31/26, 07:16 PM
Similar Articles
Built a minimalistic coding agent in Rust optimized for memory footprint
Introduces zerostack, a minimalistic coding agent built in Rust with a focus on low memory footprint (~16MB RAM) and no CPU usage when idle, aiming to be feature-equivalent to existing agents like Pi or Mistral's Vibe.
A Simple Runtime Invariant Miner
This post implements a Daikon-style runtime invariant miner in Python, including instrumentation, trace collection, candidate invariant checking, and implication-based suppression, providing an approximate oracle for regression testing.
@jerryjliu0: Agents + file sandboxes are all in the range in 2026 This is a nifty reference implementation by @itsclelia showing you…
This reference implementation demonstrates how to run an LLM agent securely within a local sandbox to process and analyze various document types using Rust, LiteParse, and microsandbox. The open-source CLI leverages OpenAI's GPT models and native bash commands to perform file retrieval and analysis in an isolated environment.
The Edge of Safe Rust
A TokioConf 2026 talk/blog post explores pushing safe Rust to its limits by implementing tracing garbage collection for complex pointer structures, sharing techniques for circular references and raw-pointer GC design.
Code mode with a stateful REPL
The author introduces ptc_runner_mcp, an MCP server that provides a stateful, sandboxed REPL using a Clojure-like language, allowing AI agents to perform exploratory computations without overwhelming the context window.