Fence – Sandbox CLI commands with network/filesystem restrictions
Hi HN! Fence wraps any command in a sandbox that blocks network by default and restricts filesystem writes. Useful for running semi-trusted code (package installs, build scripts, unfamiliar repos) with controlled side effects, or even just blocking tools that phone home. > fence curl https://example.com # -> blocked > fence -t code -- npm install # -> template with registries allowed > fence -m -- npm install # -> monitor mode: see what gets blocked One use-case is to use it with AI coding agents to reduce the risk of running agents with fewer interactive permission prompts: >…
In plain words
Fence is a command-line sandbox tool that restricts network access and filesystem writes when executing commands. It blocks all network traffic by default and prevents unintended file modifications, making it useful for running untrusted code like package installations, build scripts, or unfamiliar repositories safely. It offers templates for common tasks like npm installs, a monitor mode to observe blocked actions, and integration with AI coding agents to reduce permission prompts.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi HN! Fence wraps any command in a sandbox that blocks network by default and restricts filesystem writes. Useful for running semi-trusted code (package installs, build scripts, unfamiliar repos) with controlled side effects, or even just blocking tools that phone home. > fence curl https://example.com # -> blocked > fence -t code -- npm install # -> template with registries allowed > fence -m -- npm install # -> monitor mode: see what gets blocked One use-case is to use it with AI coding agents to reduce the risk of running agents with fewer interactive permission prompts: > fence -t code -- claude --dangerously-skip-permissions You can import existing Claude Code permissions with `fence import --claude`. Fence uses OS-native sandboxing (macOS sandbox-exec, Linux bubblewrap) + local HTTP/SOCKS proxies for domain filtering. Why I built this: I work on Tusk Drift, a system to record and replay real traffic as API tests (https://github.com/Use-Tusk/tusk-drift-cli). I needed a way to sandbox the service under test during replays to block localhost outbound connections (Postgres, Redis) and force the app to use mocks instead of real services. I quickly realized that this could be a general purpose tool that would also be useful as a permission manager across CLI agents. Limitations: Not strong containment against malware. Proxy-based filtering requires programs to respect `HTTP_PROXY`. Curious if others have run into similar needs, and happy to answer any questions!
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com


Launched alongside, January 2026
the whole month →- IN
Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code. Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped! I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity: http://cannoneyed.com/projects/isometric-nyc
AI · Jan 2026 · cannoneyed.com




Automatic AI-powered code reviews the moment you open a PR
Dev tools · Jan 2026 · kilo.ai
