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LOCI

by Aurora Labs
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Execution-Aware AI Platform

The execution layer your AI agent is missing.

Execution-aware signals — fired from a model trained on real running software, traced over five years of production workloads.

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The Product: LOCI

Grounding software engineering tasks

Whether you’re using LLM coding agents or working directly in your IDE, LOCI provides execution-aware insights that help engineers ship high-quality code faster, streamline reviews, improve security checks, and avoid unnecessary testing cycles.

Code
Build
LOCI
Test
Merge
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Technology Deep Dive
Critical

Performance Regressions

LOCI identifies performance risks introduced by code changes – early, before tests or benchmarks run.

  • Latency regressions (average, p95, p99)
  • Throughput degradation (requests/sec, tokens/sec)
  • Increased critical-path execution time
  • Tail-latency amplification

CPU & GPU Inefficiencies

LOCI flags inefficient execution patterns that hurt utilization and scalability – without instrumentation.

  • Excessive CPU instruction cost
  • GPU kernel inefficiencies and divergence
  • Memory pressure & cache-unfriendly access
  • Suboptimal CPU/GPU utilization

Power & Execution Cost Increases

Execution behavior drives energy usage. LOCI reasons about execution cost and highlights expensive paths.
  • Power spikes caused by execution paths
  • Increased energy per operation
  • Inefficient use of hardware resources
  • CPU/GPU scheduling and interaction

High-Risk Execution Paths

LOCI highlights execution paths that increase attack surface or expose unsafe behavior under rare or adversarial conditions.
  • Worst-case execution paths with weakened validation
  • Rare branches reachable via attacker-controlled inputs
  • Input-dependent paths that expose unsafe execution behavior
  • Tail-dominating paths are associated with instability and security failures
Automated

Learning from Measured Execution

Execution models are refined using measured execution data – improving accuracy while staying grounded in physical reality.
  • CPU and GPU traces
  • Performance counters
  • Execution timing and power behavior
New

Grounding LLM Coding Agents

LOCI produces execution-aware signals designed to plug directly into developer workflows and automation.
  • Execution-time estimates
  • Performance regression indicators
  • Efficiency and cost signals
  • High-risk execution path identification
Where LOCI Fits

Earlier insight. Fewer surprises.

As you build your software: Code → Build → LOCI Signal → Test → Merge

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