When your APIs change, your code should
Fix2shipistheverificationplatformforautonomoussoftwaremaintenance.Ourengine,ApiPatch,automaticallyrewritesbreakingAPIchangesbeforetheyimpactproduction.
Autonomous breaking change remediation.
Supported Deterministic Ecosystems & Runtimes
Interactive AST Pipeline · 4 Continuous Verification Stages
Detect Breaking Changes Automatically
Catch outdated API calls before they reach production
When a third-party service updates their API, ApiPatch automatically reads the changelog and finds every line in your codebase that will break.
Changelog volume has outgrown human capacity.
When third-party releases ship breaking changes without enforcement, manual triage fails by definition.
of breaking releases are mislabeled as safe, non-breaking updates
of package releases break at least one dependent project on update
new package versions ship every day on PyPI alone
of that changelog volume is ever read in time by affected engineers
APIs change.
Your code doesn't know until it breaks.
Package managers track what version you asked for. They say nothing about whether the functions you call, the parameters you pass, or the responses you parse still exist.
Traditional dependency tools bump a number and walk away — leaving broken call sites, unverified PRs, and silent production crashes in their wake.
Dependabot bumps version numbers. It doesn't fix what broke.
Dependabot only bumps version numbers in package.json or requirements.txt. If an API changed a method signature or payload property, Dependabot leaves the codebase broken — it never touches the actual source code that calls the API.
Dependabot bumps version numbers. It doesn't fix what broke.
Dependabot only bumps version numbers in package.json or requirements.txt. If an API changed a method signature or payload property, Dependabot leaves the codebase broken — it never touches the actual source code that calls the API.
Vendors publish a diff. You still have to find every call site yourself.
Providers ship changes as GitHub releases or OpenAPI diffs, but that information dead-ends at a changelog. Nothing automatically locates every place in your repository that calls the affected method, so the burden of translating 'what changed' into 'what code needs to change' falls entirely on you.
An automated fix you can't verify is just a different kind of risk.
A tool that rewrites your source code automatically is only useful if the rewrite is provably correct. Without deterministic AST transformations, syntax validation, and sandboxed differential testing before a patch ships, auto-generated fixes risk introducing new failures instead of preventing them.
A PR that doesn't fit your codebase's style just becomes more review work.
Even a working patch can miss how your team actually writes code — wrong syntax conventions, wrong patterns. Without a way to give in-context feedback and have the patch re-verified and updated, a 'fix' can just shift the work from fixing the API call to fixing the fix.
Dependabot updates the version number. ApiPatch updates the code.
Why Now
Agents already touch the codebase.
AI coding agents have normalized automated commits and PRs, so an auto-fix PR reads as routine infrastructure, not a risk.
API surface area is outgrowing manual tracking.
The number of vendor endpoints and SDKs teams depend on is growing faster than any team can read changelogs for.
Agent-written code is outrunning review.
Code generated and patched by agents reaches production faster than existing review processes can verify it's safe — which is what our second product is for.
The Autonomous Verification Layer
From deterministic API code patching to universal AI agent merge verification.
Roadmap: 3 Stages
ApiPatch
Auto-fixes source code against provider API changes.
SafeAgentMerge
Verifies agent-generated PRs are safe to merge.
Agentic action guardrails
Verification extending beyond code — including VLA and robotics-adjacent actions.
“Companythesis:autonomousdeterministicremediation—startingwithcode,extendingtoanydomainwhereAIagentstakeconsequentialactions.”
GenerativeAIhascommoditizedcodecreation,butinmission-criticalsystems,consequenceisexpensive.A98%modelsuccessratecreatesa2%catastrophicfailurerateinproductionbilling,datapipelines,andinfrastructure.Morepromptscannotfixstochastichallucinations.Theonlymathematicallydefensiblepathtoautonomousagencyisrigid,deterministicverificationbeforeanyactioncounts.
Built by Systems & Verification Engineers
Engineered from ground truth: deterministic AST rewrites backed by compiler-gated sandboxes.
Sameer Khan S
Founder & Business
Rishi Harti
Founder & Systems Architect
The Engineering Thesis Behind Fix2ship
Leading commercial deployment and enterprise verification pipelines at Fix2ship. Prior to Fix2ship, built Gradebench, an autonomous evaluation platform for scoring LLM coding agents under strict runtime and production invariants.
Three hard deterministic guarantees enforced on every emitted patch.
Tree-sitter AST Engine
Multi-language concrete syntax tree parsing with C/Rust bindings.
Isolated Docker Sandboxes
Full compiler & test suite verification gates before PR emission.
Zero-Prompt Ingestion
Deterministic code upgrades with 100% token repeatability.
Ship changes with certainty.
Talk to us about ApiPatch, SafeAgentMerge, or the roadmap between them.