Sandbox agents without losing your dev environment
Virtualenv-style sandboxing with namespace isolation for runaway LLM agents.

Autonomous signup/login testing with security scanning, but Playwright and Cypress already own this space.
Indie hackers, early-stage product teams, developers shipping quickly
Playwright · Cypress · BrowserStack
It started as a tool for my own projects because auth and edge cases kept eating time: - login/signup issues - session weirdness - role/permission behavior - product-flow regressions - test scenarios that are annoying to recreate manually
The goal is to have a practical environment for validating auth/product behavior without building a huge internal setup every time.
Who it’s for: - indie hackers - builders shipping quickly - teams who need lightweight testing workflows - people who want to catch auth/product issues earlier
What I’d love feedback on: 1. What auth/testing pain points waste the most time for you? 2. What would make a tool like this genuinely useful vs. “nice idea”? 3. Which features would be must-have for version 1?
I’m especially interested in feedback from people who’ve dealt with messy auth flows in production.
Virtualenv-style sandboxing with namespace isolation for runaway LLM agents.
Cross-repo dependency resolution is clever; but autonomous code agents are a crowded, uncertain category.
Pydantic schema to production API with pause/resume and human approval in one docker compose.
Sandboxed AI agents coordinate code tasks locally without sending data to cloud.
Visualizes the exact four-step path where AI code assistance becomes action authority.
This is a focused, pragmatic tool: 27 rules across security, reliability, performance and AI-quality pick up things TypeScript and ESLint miss (hallucinated imports, phantom-dependency, hardcoded secrets, missing rate limiting). It ships as an npx CLI with JSON output for CI, tests and GitHub Actions — small but practical feature set that makes it trivial to gate AI-generated code in pipelines. I'd like stronger editor/IDE integration and more ecosystem hooks, but for teams relying on LLMs this hits an important pain point cleanly.