Aurora Labs

Aurora Labs offers LOCI, an execution-aware AI platform that audits and validates code changes at the binary level. It helps software teams prevent regressions, power issues, and bugs before code is merged, without running the code.

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At a glance

Pricing

Likely Not Free

Free tier

API

Skill level

Technical

About

What is Aurora Labs?

Aurora Labs presents LOCI, an execution-aware AI platform designed to enhance software development by auditing and validating code changes. LOCI acts as a quality gate, modeling regressions, power consumption, latency, and bugs directly from the binary, eliminating the need to run code, instrumentation, or code changes. It integrates into the development workflow, from planning to merge, by auditing AI agent plans before code is written and analyzing pull requests after code changes. The platform uses a Large Code Language Model (LCLM) trained on billions of ASM blocks and real-time traces from various systems, ensuring first-pass accuracy and reducing rework. LOCI is particularly beneficial for engineering leaders, SREs, AppSec teams, and embedded/firmware developers, providing governance for AI-generated code and enforcing quality contracts like throughput, latency, and stack depth KPIs.

Best used for

Ideal for engineering leaders and developers who need to ensure high code quality and prevent regressions in software development. Especially valuable for auditing AI-generated code, validating pull requests at the binary level, and enforcing measurable KPIs like throughput and stack depth in safety-critical systems.

Common actions

audit code changes

detect code regressions

validate code quality

enforce coding standards

improve software reliability

Capabilities

Key features

Binary-level code auditing
Regression detection
Power/latency modeling
Stack overflow detection
Quality contract enforcement
No instrumentation required
CI/CD pipeline integration

Target Audience

developer

Integrations

github

Pricing & Plans

Likely Not Free

Not publicly disclosed. Check auroralabs.com for current pricing.

FAQs

How does LOCI detect issues without running code or instrumentation?

LOCI utilizes a Large Code Language Model (LCLM) trained on billions of ASM blocks and real-time traces. It analyzes the binary directly, modeling potential regressions, power, latency, and bugs, allowing it to provide feedback before code execution or instrumentation.

What types of quality issues can LOCI identify?

LOCI can identify various quality issues including performance regressions (e.g., BLE throughput, TLS handshake latency), power consumption changes, stack overflows, and general bugs. It also helps enforce compliance with standards like MISRA/AUTOSAR for safety-critical systems.

How does LOCI integrate into an existing CI/CD pipeline?

LOCI is designed for zero friction integration. It sits alongside your existing pipeline without requiring new build steps, instrumentation, profilers, or code changes. It can be plugged in at various stages, from planning to merge, to provide continuous coverage.

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