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Antifailure
A disposable copy of production for every pull request
Antifailure builds a throwaway copy of your production stack for each branch: the real schema and data volume with every identifier masked and the masking proved, a network the app cannot escape, and agents that use it like people. Your change runs there first, it tells you what would have broken, and then the copy deletes itself. MIT licensed, one command, no account.
Every way we normally answer "is this safe to ship" answers a different question. The suite runs against a seeded database that is small and empty, so it cannot tell you the migration holds a lock for ninety seconds at production's row counts. Staging reaches the real vendor, so it cannot tell you whether the path that charges a card would have charged one. Reading an ALTER TABLE in review cannot tell you whether it rewrites the table, because the statement does not say; it depends on the server version and the type you are coming from.
So Antifailure builds the copy instead, one per branch, and destroys it afterwards. Real schema, real data volume, every identifier masked, and the masking is proved rather than asserted: a scanner reads the result back with the same detectors that would find a leak and signs an attestation, and a copy that fails it cannot be used. The environment sits on a network with no route out, so an SDK that ignores its proxy settings has nowhere to send the packet. Then agents drive a real browser through it and come back with pass, fail, flaky, blocked or unverified, with a video and a trace.
The thing I am proudest of is not a feature. Yesterday our own masking verifier reported clean about a database in which the plan listed 145 columns as copied unchanged, nine of them Stripe customer ids and two of them sealed key material. It read six text types and treated everything it could not read as fine. We found it by pointing the product at itself, and the fix shipped in today's release: it now reads every column it can read as text, names the ones it cannot, and fails rather than passes when a column it could not read has no rule and a name that says it holds a secret.
The engine is MIT licensed and needs no account:
curl -fsSL https://antifailure.dev/install.sh | sh
af init && af up
What is the worst thing a migration has done to you in production? Most of the ones I collect are things a copy would have caught.
About Antifailure on Product Hunt
“A disposable copy of production for every pull request”
Antifailure was submitted on Product Hunt and earned 11 upvotes and 1 comments, placing #22 on the daily leaderboard. Antifailure builds a throwaway copy of your production stack for each branch: the real schema and data volume with every identifier masked and the masking proved, a network the app cannot escape, and agents that use it like people. Your change runs there first, it tells you what would have broken, and then the copy deletes itself. MIT licensed, one command, no account.
On the analytics side, Antifailure competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Antifailure performed against the three products that launched closest to it on the same day.
Who hunted Antifailure?
Antifailure was hunted by Vir Sanghavi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Antifailure including community comment highlights and product details, visit the product overview.
Vir Sanghavi