Execution Reasoning Applied to Real Engineering Problems
LOCI’s execution reasoning applies across teams, domains, and industries. Each use case below shows how execution-aware insight helps teams make better decisions — as software is built.
LOCI integrates natively with GitHub and GitHub Marketplace. As code is pushed and built, LOCI analyzes compiled artifacts and surfaces execution-level signal directly where developers work.
What LOCI provides
Constrains generation within real execution limits
Prevents performance-regressing suggestions
Guides optimization decisions with execution truth
CI Guardrails
Performance Regression Prevention
Frequent code changes make performance regressions hard to detect early. LOCI reasons about how changes affect execution and flags risks before tests and benchmarks run.
What LOCI provides
Latency regressions (average and tail)
Throughput degradation
Critical-path expansion
KPI violations
Risk Surfacing
Security-Critical Execution Paths
Many correctness and security risks depend on how code executes, not just what it does. LOCI highlights risky execution behavior early without replacing existing security tools.
What LOCI provides
Correctness depends on rare control-flow paths
Memory access patterns are unsafe or fragile
Changes introduce risky execution behavior
Efficiency
Power & Thermal Efficiency
Execution behavior directly affects power consumption and thermal characteristics. LOCI reasons about execution cost so teams can address efficiency and cost issues as software is built.
What LOCI provides
Power spikes caused by specific execution paths
Inefficient CPU and GPU utilization
Thermal stress introduced by code changes
Fewer Tuning Cycles
Execution-Aware Optimization
Optimization efforts often rely on trial and error. LOCI identifies execution hotspots and high-cost patterns to reduce guesswork and speed up tuning.
What LOCI provides
Hot execution paths
Inefficient instruction sequences
High-cost memory access patterns
Review Signal
Execution-Aware Code Review
Code reviews often lack execution context. LOCI adds execution reasoning to reviews so reviewers can make faster, more confident decisions with execution truth.
What LOCI provides
Why a change affects performance or cost
Which execution paths matter most
How behavior differs across builds
Onboarding
Execution Knowledge & Team Onboarding
Execution knowledge is often tribal and hard to transfer. LOCI makes execution behavior visible so new team members ramp faster with concrete insight.
What LOCI provides
Showing how systems actually run
Highlighting critical paths and bottlenecks
Explaining execution impact of changes
Safety-Critical
Functional Safety & System Availability (Automotive)
For automotive and safety-critical systems, predictability and availability matter. LOCI helps functional safety managers and system engineers surface execution risks early.
What LOCI provides
Understand worst-case and tail execution paths
Identify execution variability and contention
Analyze change impact on system availability
Next Step
Want a walkthrough LOCI’s execution signals
See how executable decomposition + hardware-grounded models translate into bounded, actionable signals inside CI, IDEs, and LLM coding agents.