#sandbox

AI coding agents are amazing — until they rm -rf something, leak an API key, or leave your project in...

gitlawb-zero is winding up a 0.4.0 release, and the commit stream shows a project maturing its...

A merged commit in Codex's repository does one focused, important thing: it preserves parent sandbox...

The operating problem You've shipped microservices for a decade. You've got CI/CD...

Google Cloud has moved Cloud Run sandboxes to public preview, positioning them as a runtime for AI-generated code and untrusted binaries that a pipeline would otherwise be asked to trust with host access and cloud credentials.

Cloud sandboxes are great — but for a single-user agent, the user's own desktop is often the more natural runtime. Notes on Desktop × PTY × Codex App Server.

A plain OpenAI Responses call fixed our broken code but could not run the tests. A readiness checklist for when an AI agent actually needs a sandbox.

'Just a ChatGPT wrapper' stopped being an insult. The thing you'd wrap became a runtime — sandbox, agent loop, state gravity. Notes from building it, and where the moat is thin.

E2B is easy to describe too quickly: give an AI agent a secure sandbox so it can run code. That...

Fix Codex CLI "command failed; retry without sandbox" on every edit: install bubblewrap on Linux, set sandbox_mode workspace-write, approval_policy on-request. 6 fixes, 5 real 2026 issues.

A capability-compiler meets ten deliberately-broken MCP servers. The honest scorecard: it cleanly stops one class, contains several, and is useless against another.

In sandbox runtimes, "isolation" is the core requirement. qwrap (based on bwrap user namespace) and...