01 · the gap
Hallucinated Swift
Agents emit Swift that compiles in isolation but fails Apple's contract checks the moment it reaches Xcode.
axint · the thesis
We build theexecution layerfor agent software.
Better models keep expanding what AI coding agents can attempt. The harder question is whether the output can survive real platform rules, real toolchains, and real distribution.
Axint is building that execution layer: an open-source compiler, proof system, and repair loop for agent-built Apple software. The local runtime, registry, and Cloud service form one product with one job — helping agents ship native software that holds up.
the observation
AI agents can write code.They can't ship it.
Every frontier coding model can write Swift. None of them produce Swift that survives Apple's contract surfaces — App Intents, WidgetKit, plist requirements, entitlements, signing, review — without human cleanup. The output looks brilliant in a sandbox and flames out the moment it meets a real platform.
The next layer of value isn't a smarter model. It's the infrastructure that makes existing model output shippable on the platforms where users actually live. That infrastructure is what Axint builds.
02 · the gap
No repair loop
When a build fails, agents flail through the same code repeatedly without a structured fix path. The user pastes the error into chat and tries again.
03 · the gap
Token burn
Fine-tuning generated Swift across App Intent + view + widget + plist + entitlements eats 50–200 lines and a full agent context every time.
The result: agent-generated Apple software stays at “demo” quality. It doesn't ship. The compiler and repair loop are the missing pieces.
the system
One product.Complete loop.
Axint combines an open-source local runtime with hosted proof, package distribution, and collaboration. The compiler stays open; paid services cover the infrastructure that creates ongoing operational value.
Axint is the Apple-native execution layer for AI coding agents — compiler, validation, evidence, and repair in one loop.
axint.
The open-source compiler and repair loop for agent-built Apple-native software.
Authors define features in TypeScript or Python. The compiler emits ordinary, validated Swift. When something fails, axint writes a Fix Packet — verdict, findings, AI-ready repair prompt — that the next agent run reads. The loop closes; the agent ships.
- 1,512
- tests
- 235
- diagnostics
- 36
- MCP tools
- 60
- live packages
Beyond
Apple.
axint starts with Apple. The same execution-layer pattern applies anywhere agents meet strict platform rules, validation, repair loops, and distribution paths.
Investors and partners — request a briefing on what's next under the same roof.
why apple first
Strict rules exposewhat is real.
Apple is the first proving ground because the platform is the strictest software-shipping environment on earth. If an agent ships reliably on Apple, it ships anywhere. We chose the hardest test on purpose.
the rules are strict
Apple's API surfaces are verbose and contract-heavy. A widget needs TimelineEntry + TimelineProvider + EntryView + Widget struct before any business logic. An App Intent needs parameters, metadata, privacy assumptions, plist fragments, entitlements, and Swift that fits review.
Apple Intelligence forces App Intents
Apple's own AI strategy is App Intents + Shortcuts + Siri. Every consumer app needs to ship App Intents to be discoverable. Hand-writing them is a tax. axint removes the tax.
review is the proof
App Review is the strictest distribution gate on earth. If agent-generated software ships through App Review reliably, it can ship anywhere. We're starting where it's hardest because that's where the proof lands.
talent is in TypeScript and Python
The agent-friendly languages are TypeScript and Python — that's where the talent and tooling already are. The closest alternative (SwiftUI macros) requires Swift fluency. axint lets agents author in the languages they already speak.
Apple is not the whole market. It is the hardest useful proving ground.
why now
The window is open.We're shipping.
The model layer is accelerating. The execution layer is still missing. Five reasons this is the right company at the right moment. Each one stands on its own; together they compound.
01 · agent coding is real
Agents write code. They can't ship it.
Every frontier coding model generates Swift today. None of them produce Swift that survives Apple's contracts without human cleanup. The gap is structural, not transient — better models won't close it. That's where axint sits.
02 · MCP is the runtime
Every agent host speaks MCP.
axint ships 36 MCP tools and is one install command away in Claude Code, Cursor, Xcode, VS Code, JetBrains, Windsurf, Zed, Neovim, and Claude Desktop. Strategic distribution: agents pick axint up automatically through the install path their host recommends.
03 · Apple Intelligence pressure
Apple's AI strategy is App Intents.
Apple's own consumer AI surface is App Intents + Shortcuts + Siri. Every consumer app on the platform needs to ship App Intents to be discoverable. Hand-writing them is a tax. axint removes the tax — and as more apps ship intents, Apple's AI gets more capable, which compounds.
04 · open-source advantage
Closest alternative requires Swift fluency.
Apple's own SwiftUI/SwiftData macros are platform-native but require Swift expertise. The agent ecosystem speaks TypeScript and Python natively. axint lets agents (and their human collaborators) author in the languages where the talent and tooling already are — and stays Apache-2.0 to accelerate adoption.
05 · the loop is tight
The feedback loop is closed and shipping.
v0.0 to v0.6.0 in months. 1,512 tests. 235 diagnostics. 60 live registry packages. Public docs, public registry, production usage feeding compiler improvements every release. The loop is real, the proof is on GitHub, and the velocity compounds with every shipped fix.
the ask
The model layer is crowded.The execution layer is open.
Real agent software needs more than prompts. It needs compilers, validators, repair loops, registries, cloud checks, and platform-specific workflows.
Investors and partners — request a private briefing on the metrics, the roadmap, and what's coming next under the same roof.