Antifailure

Antifailure spins up a disposable copy of a company's production stack for every pull request, then runs the proposed change against it before the code merges. The system pairs masked Postgres, contained third-party APIs, and agents that use the app like people , so schema migrations, background workers, and integrations get exercised on something shaped like the real system rather than a clean, empty staging box. When the pull request closes, the twin deletes itself. The product is aimed at engineering teams whose deploy volume has outgrown human-tended staging, particularly as coding agents open more pull requests than reviewers can babysit. Under the hood it bundles an Isolated Twin, a Safe State layer for sanitized production-shaped data, a Side-Effect Firewall that swaps live Stripe and email for stateful simulators, a Load component that replays traffic shaped like production's access log, and a Migration Safety check that surfaces exclusive locks, table rewrites, and query plans before they hit customers. The engine is open source and runs inside existing CI with no account, while a hosted control plane connects to GitHub repositories. The launch is posted by Vir Sanghavi (@VirSanghavi13), who frames the pitch around a specific gap: Series A through Series D pipelines that were built for human review cadence and now have to absorb agent-generated changes. The video leans on outages like the July 2024 update that grounded thousands of flights and a 2022 configuration change that knocked out 911 access for millions of Canadians to argue that testing on a small clean copy no longer resembles the environment a change will actually meet. Antifailure's bet is that a same-size, same-shape, self-destructing twin per PR is a more honest gate than the mix of staging, review tools, and ad hoc tests most teams ship with today.