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carlostapiacl/README.md

Carlos Tapia

Software architect in Santiago, Chile. Thirteen years on banking, telecom and public-sector systems. On my own time I run AI coding agents on real code and measure what happens: what they cost, how much of their code survives, where they get out of a sandbox. The notes are at carlostapia.cl.

Tools

  • seisin: gives each agent its own folders and keys, enforced by the OS. MIT, on npm.
  • tartaros: a local sandbox for coding agents, in Rust. Apache-2.0.

Measurements

  • sandbox-conformance: runs the tests other sandboxes wrote for themselves against every sandbox, with the results by date.
  • denial-detours: what an agent does when it is denied a write to another role's file. Exploratory, every trial kept.

carlostapia.cl · LinkedIn

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  1. seisin seisin Public

    A permission layer for AI coding agents: role-scoped folders and keys, enforced by the OS, and when it denies something it tells you whose file it was.

    JavaScript

  2. sandbox-conformance sandbox-conformance Public

    An open lab for measuring sandboxes for AI coding agents: runnable contracts, per-sandbox results, side-by-side comparison.

    Python

  3. tartaros tartaros Public

    A local sandbox for AI coding agents that you can test yourself. Secrets out of reach, egress on an allowlist, a clean repo. macOS and Linux, Rust.

    Rust

  4. denial-detours denial-detours Public

    What a coding agent does when it is denied a write to another role's file, and whether knowing the owner changes it. Every trial kept.

    JavaScript