Generate the feature. Validate the Apple output. Decide with a real report. Ship only when it is actually safe.
Axint Cloud is the Apple-specific control layer for AI product and platform teams shipping Apple-native features with AI-assisted workflows. It turns generated output into something a team can review, compare, and make a release decision on before Xcode cleanup or App Review pain shows up downstream.
One Apple-native issue caught before ship.
The feature looked fine in a demo: a health logging intent generated clean Swift, but the surrounding Apple contract was still wrong for release.
Generated feature: workout logging intent for a fitness app
Decision: hold the release, fix the Apple contract, rerun validation, then ship with a real report instead of a Slack screenshot.
Run a real Cloud report with the compiler and validators behind Axint.
Start from a real sample, upload a source file, or pull a package from the registry. Save a durable report URL, compare it against a baseline or another package, and group runs into one shareable collection.
Preview compiles first. Creating a public URL or private workspace save sends your source, generated Swift, and diagnostics to Axint Cloud. .
Pull a second live package into the report flow and compare validation plus Swift output side by side.
Run a Cloud report, export JSON or a brief, and keep a shareable collection tied to this browser. This is the fastest path for demos, reviews, and one-off package comparisons.
Workspaces add teammates, org boundaries, exports, anonymization, ownership transfer, and purge controls. GitHub sign-in is for the durable collaboration layer, not for the basic report flow.
Anonymous report URLs and collections already work on this page. Sign in with GitHub only when you want persistent workspace history, teammate access, and one durable review lane for Apple output.
Collections give a team one URL for a report set instead of passing standalone runs around. Anonymous collections are public URLs tied to this browser token.
Start with a sample, bring in your own file, or pull a live registry package. This view will show diagnostics, generated Swift, and baseline comparison before you decide whether to save anything to Cloud.
Phase 1 atomic collection verification.
Phase 1 atomic collection verification.
Phase 1 atomic collection verification.
New registry packages can now land with a Cloud validation record immediately, so package pages can show health and compiler compatibility without waiting for a manual report run.
- Published packages can appear in the recent Cloud feed automatically.
- Registry package pages can show validation status and compiler metadata from the latest Cloud report.
- Teams can carry those reports into collections, comparisons, and follow-up reviews from the same starting point.
Cloud starts where the AI demo stops. Apple-specific confidence is what turns generated code into something a team can keep.
The hard part is not getting one feature generated. The hard part is understanding whether the Apple-native output is still healthy as definitions change, packages evolve, more AI-generated code lands, and Apple moves the goalposts again.
Catch Apple-specific breakage before Xcode does
Cloud exists for the moment after generation: entitlement drift, plist gaps, WidgetKit rules, and App Intents edge cases that turn a cool demo into release cleanup.
See drift across Xcode and Apple releases
Keep a compatibility-aware record of what changed between runs so Apple platform churn does not get discovered at the worst possible point in the release cycle.
Give every AI tool the same Apple backend
Whether the feature started in Codex, Claude, Cursor, or a human review pass, Cloud gives the team one Apple-native validation and history surface.
See validation, compatibility, and release health in one place
Cloud is where compiler output, validation, and compatibility baselines meet in one place alongside registry provenance and CI health.
Generated Swift health
Compile output, run validation, and preserve the exact diagnostics and fix path attached to every build.
Compatibility matrix
Track how a package or project behaves across compiler versions, Apple SDKs, and future Xcode baselines.
Regression alerts
Know when a previously healthy project slips because Apple or your own definitions changed under it.
Entitlement and plist review
Surface missing keys, capability mismatches, and App Intents policy mistakes in one report instead of three toolchains.
CI and PR checks
Make Cloud the gate on every change so the team sees Apple-specific failures in GitHub before they hit Xcode.
Package trust signals
Layer registry provenance, compiler version compatibility, and publisher metadata into one operational control plane.
One pipeline from AI prompt to Apple-safe release.
Describe the feature once
Start in your AI tool or by hand. The important part is that the feature enters Axint through a compact authoring surface instead of raw Swift boilerplate.
Axint generates the Apple-native output
The compiler turns that smaller definition into real Swift, plist, entitlements, and the Apple-native structures your app actually needs.
Cloud proves whether it is safe to keep
Run validation, compare against baselines, share the report, and keep a durable view of Apple-surface health once the feature leaves the one-person demo stage.
They want AI-assisted workflows to produce Apple-native features, but they do not want release confidence to depend on one person manually untangling Swift, Xcode, entitlements, and Apple framework breakage.
Use Cloud as the Apple-specific control layer between generation and release so the team can validate, review, and decide from one shared report surface.
They need shared visibility into regressions, compatibility drift, and whether a generated Apple surface is safe enough to merge or ship.
Use Cloud as the review, history, and compatibility surface that sits between AI generation and a real Apple release.
For engineering leaders
See Cloud in terms of release confidence, regression risk, Apple beta drift, and a team workflow that does not depend on one person reading generated Swift by hand.
For AI builders / vibe coders
See Cloud as the moment after the prompt: generate the feature, inspect the Swift, catch Apple-specific issues, and know whether the output is actually safe to keep.
Make Cloud the commercial layer, not a second brand.
The open-source compiler should stay easy to try. The current money motion is the Axint Cloud design partner program for teams that want Apple-native validation, report workflows, and rollout help now, with broader team rollout following only after one workflow is clearly worth expanding.
Open-source compiler
Free nowUse the compiler locally if you want the prompt-to-Swift workflow without introducing a new team process yet.
- Best for solo exploration and demos
- Keeps the authoring surface compact
- Graduate to Cloud when sharing and regressions matter
Axint Cloud design partner program
Available nowThis is the current commercial motion: a scoped, fixed-fee design partner engagement for one real Apple-native workflow that your team needs to validate and ship now.
- Typical scope: one workflow, 2-3 weeks, low five figures
- Deliverable: kickoff baseline, shared reports, and a written ship / hold recommendation
- Best for AI product and platform teams that need proof on a live release question
Team rollout
Staged accessPersistent workspaces, org history, and wider release controls for teams that need shared governance around Apple-native output after the first workflow is proven.
- GitHub-backed workspaces when enabled
- Organization scope as rollout expands
- Best after design-partner fit is clear
One commercial path from first proof to repeatable product.
Design partner is the current entry point, not the final shape. The goal is to use one live workflow to earn the right to a repeatable paid product and broader team rollout.
Design partner program
Live nowFounder-led, fixed-fee engagement around one real Apple-native workflow that needs a ship / hold decision soon.
Workflow subscription
Next product shapeRepeatable paid product for teams that want ongoing Cloud reports, compatibility checks, and release review around one proven workflow.
Team rollout
Expand carefullyShared workspaces, org scope, durable history, and broader governance after the first workflow is already worth operationalizing.
Keep the landing page simple, but make the team path obvious.
You should not need GitHub sign-in to understand Cloud. Start with the report lane, then step into workspaces only when the workflow needs durable team history.
Use this when you need the fastest path to a report URL, a JSON export, or a quick shareable review surface.
Use GitHub sign-in only when the workflow graduates into durable history, teammates, shared collections, exports, and ownership controls.
Want rollout updates while Cloud opens up?
Join the list for broader Cloud rollout updates, staged workspace access, and future team features. If your team needs Cloud on a real workflow now, the design partner program is the primary path.