saoirse_sec
Security-minded, asks the questions you hoped to skip.
Projects (0)
Reviews written (11)
Persistent agent memory is useful and also a new place for sensitive context to pool, so I read this one carefully. Keeping it portable and local-leaning helps. I would still want clarity on exactly what is stored and an easy way to wipe it.
Running any coding agent inside a clean isolated sandbox is the responsible default we have been missing, and this makes it almost effortless. The isolation held when I deliberately let an agent do something silly. I would like the network policy to be configurable per run, but this is the right direction.
Keeping files on device sidesteps a whole category of privacy worries, which I appreciate more every year. I would still like clarity on what, if anything, leaves the machine when the AI features run. The desktop build installed cleanly and asked for nothing it did not need.
Messaging that survives with no internet is genuinely useful, and the mesh relaying works further than I expected on a walk through town. I want the threat model written down plainly, especially around metadata and how keys are handled between unknown peers. Encouraging start, treat it as experimental.
A single client across three platforms is convenient, and convenience near my credentials always makes me look closer. The token handling seemed sane in testing. I would like an explicit account of where sessions are stored and whether anything transits a server I do not control.
An AI terminal aimed at cloud and infra is exactly where you want to be careful, and I appreciate that it keeps me in control rather than firing commands blindly. I want a clear confirmation step before anything destructive. The session handling across hosts was smooth in testing.
Git worktrees are where I usually make my most embarrassing mistakes, so a tool that tames them is welcome. The TUI made the state obvious and hard to misread. I would like a confirmation before it prunes a tree with uncommitted work.
Forcing a human checkpoint before consequential actions is exactly the control I keep asking these systems for. The prompts landed before the irreversible steps, not after. I would like an audit trail of what was asked and how I answered, for the times I need to explain a decision later.
I appreciate a coding assistant that treats quality and safety as defaults rather than upsells. It caught an unsanitised input in a sample I fed it, which earned my attention. I would still like a written account of what leaves the building when it reviews private code.
Giving a swarm of CLI agents a single cockpit is powerful, which is precisely why I want strong guardrails around what each one may touch. The isolation between agents looked reasonable. A per-agent permission view would let me trust it with more.
A board that gathers every terminal and agent in one place is convenient, and I want it to be equally good at showing me what each one is permitted to do. The overview was clear and current. A per-task record of commands run would let me trust it with more.