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 faster and better code, reviews, improve security checks, and avoid unnecessary testing cycles.
Code
Build
LOCI
Test
Merge
Ground & verify coding agents
Generated code with production awareness – LLMs loop with execution reasoning – no need to run the SW.
On GIT, measurements before testings
Code review with evidence. Save costs, time, and resources while avoiding failures in testing cycles.
Ground Claude Code
As you code, catch tail and worst-case execution paths that testing misses.
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 Singal → Test → Merge