Deterministic repair planning
Every repair plan is computed from explicit rules. No probabilistic guessing, no ML inference. The same drift always produces the same repair.
iOS implementation
Aeostara detects configuration drift, plans safe remediation, verifies outcomes, and recovers automatically — built entirely in Swift 5.9+ with SwiftUI and Xcode 15+.
The problem
Systems drift over time. Configuration files diverge from their intended state through manual edits, partial updates, failed deployments, and undocumented hotfixes. The gap between what a system should be and what it actually is grows silently, one changed value at a time.
Manual repair introduces its own risk. Engineers working under pressure make assumptions, skip validation steps, and apply fixes without verifying outcomes. Each ad-hoc correction becomes another source of potential drift — compounding the very problem it was meant to solve.
Fast fixes break trust and traceability. When teams discover drift during incidents — when the cost of repair is highest — the urgency to restore service overrides the discipline to repair safely. Without deterministic repair planning, verified outcomes, and complete audit trails, every fix is a gamble.
How it works
Continuously monitor configuration files against declared desired state. Surface deviations before they become incidents.
Generate deterministic repair plans based on policy invariants. No heuristics, no guesswork — every repair is explicit.
Validate repair outcomes against acceptance criteria before finalizing. Failed verification triggers automatic rollback.
Execute safe repairs with timestamped backups, complete audit trails, and verified rollback capability.
Capabilities
Every repair plan is computed from explicit rules. No probabilistic guessing, no ML inference. The same drift always produces the same repair.
Repairs execute only when policy invariants are satisfied. Constraints are evaluated before mutation, not after.
Every configuration file is backed up with a timestamp before any modification. Recovery from a bad repair is always one step away.
Repairs are verified against acceptance criteria immediately after execution. Failed verification triggers automatic rollback.
If verification fails, the system automatically restores the previous configuration from the timestamped backup. No manual intervention required.
Every detection, plan, repair, verification, and rollback is logged to an append-only JSON Lines audit trail. Complete operational history.
Architecture
Three layers working together.
CLI tools, adapters, and configuration management interface.
Deterministic healing engine with policy evaluation.
Native modular runtime with contract enforcement.
iOS implementation
Built on modern Swift 5.9+ with SwiftUI for the native iOS interface and Xcode 15+ for build and test tooling. Fully native, with no web views or cross-platform compromise.
Import configuration files through the native iOS document picker. Load desired-state definitions and configuration files from iCloud Drive, Files, or any connected document provider.
Comprehensive coverage using both XCTest for unit and integration testing and XCUITest for end-to-end UI validation. Every module and every user flow is tested against explicit acceptance criteria.
The AeostaraApp module provides the SwiftUI interface for configuration management, drift detection, and self-healing operations on iOS.
Applications
Maintain known-good configuration state across environments. Detect deviations and restore automatically.
Apply targeted repairs to specific configuration properties without affecting unrelated settings.
Verify configuration state before and after deployments. Ensure compliance with organizational policies.
Provide CLI tools for teams who need direct control over validation, diffing, and repair operations.
Aeostara
Aeostara brings deterministic, policy-gated, verifiable self-healing to iOS — with a native SwiftUI interface.