AI Writes Code.LOCI Gates It.
LOCI models regressions, power, latency, and bugs, from the binary. Shift-left execution signals, before code planning, before merge. A vertical agent trained on real workloads and real-time traces over 5 years.
Without running code. No instrumentation. No code changes.
GitHub PRs, CI/CD, Claude, Copilot, Cursor - fits your workflow.
How It Works
Three steps. You stay in control.
Preflight - Audit the Plan
AI agent plans a change. LOCI models the incremental BIN and .so, feeds impact back, before code is written.
Postflight - PR Feedback
Agent writes code and opens a PR. LOCI analyzes the new binary and feeds regression results back to the agent.
Gate - Human Decides
Review LOCI’s analysis on the PR. Approve or block. LOCI adapts to your team’s quality bar.
Preflight in Action
Preflight Saves the Rework.
Audit before code is written
Scaled across a sprint
How we calculate
5 devs × 20 AI-assisted changes
= 100 changes / sprint
Each change: ~14K tokens saved
vs. unguided LLM context
100 × 14K = ~1.4M tokens
tokens → time → ~$5K saved
Daily window capacity
Teams on flat-rate AI plans hit the
daily token cap by ~3pm.
Fewer wasted tokens per task =
2.2× more real work in the same
window - coding until 6pm, not
locked out at 3.
5 devs
× 20 changes
~1.4M
tokens saved
~33 hrs
reclaimed / sprint
2.2×
daily window used
~$5K
saved / sprint
- Preflight catches overflows and regressions before code is written.
- Postflight validates the PR — feeds results back to the agent.
- First pass accuracy. No babysitting.
- Real numbers from a BLE project — not synthesized data.
AI PRs need a quality gate.
AI PR review impact
How we calculate
10 AI PRs × 4 devs reviewing = 40 review
sessions / sprint
Each: ~2 hrs of manual execution tracing
eliminated by LOCI
40 × 2 hrs = ~80 hrs
80 hrs × $75/hr = ~$6K saved
10 AI PRs
× 4 devs
~2 hrs
saved / PR review
~80 hrs
reclaimed / sprint
~$6K
saved / sprint
Your role. Your budget. Your quality gate.
For Engineering Leaders
VP Eng · CTO · AI Code Assistants budget
- Governance for AI-generated code, human-on-the-loop
- Quality gate replaces hope with evidence on every PR
- Activity-based ROI, scales with AI adoption
For SREs & Platform Teams
SRE · DevOps · Observability budget
- Shift-left observability, catch regressions before deploy
- Binary-level gate in your existing CI/CD pipeline
- Same signals as Datadog, fired before merge, not after
For AppSec Teams
CISO · Security Lead · AST budget
- Binary-level CFI, stack overflow, and supply chain checks
- Catches what source-level SAST tools miss
- No source code required, reads compiled artifacts
For Embedded & Firmware
Firmware Lead · Safety Eng · Embedded Tools budget
- Stack depth, power, and latency budgets enforced from binary
- MISRA / AUTOSAR compliance, no instrumentation needed
- Non-discretionary spend in safety-critical systems
Quality gate. Zero overhead.
LOCI's gate sits alongside your existing pipeline, no new build steps, no instrumentation, no profilers. Plug it in at any stage.
LOCI SIGNAL LAYER
Plug in at
one stage
or
the full pipeline
Code
incremental .so
fn-level signal as you type
Build
full binary pass
all 5 signals, whole program
Test
tail & edge cases
paths your suite never reaches
Merge
PR gate
blocks if signal exceeds baseline
Each stage is independently useful — or run the full layer for continuous coverage.
No instrumentation required.
No runtime overhead added.
No profilers to set up.
No new build steps.
No changes to your CI.
No code changes needed.
Define what matters. LOCI enforces it.
Set measurable KPIs for your binary, throughput, latency, stack depth. LOCI validates every change automatically.
BLE Throughput
Define a throughput baseline for your BLE stack. LOCI monitors every binary change and flags regressions before they reach production.
• Throughput −8% detected in ble_ll_tx()
• PR blocked – regression caught before merge
• Agent gets feedback to fix before re-submitting
TLS Handshake Latency
Set a latency budget for your TLS handshake path. LOCI catches timing regressions in crypto functions at the binary level.
• +3.4ms detected in AES_encrypt()
• Flagged in preflight, before code is written
• Coding agent adjusts approach based on LOCI’s signal
Stack Budget (Safety-Critical)
Define stack depth limits per function. LOCI validates every build against your MISRA or AUTOSAR budget, no instrumentation needed.
• Stack depth exceeds 2KB limit in motor_ctrl()
• Gate blocks release, compliance enforced automatically
• Full trace: which call chain pushed it over budget
Proof, Not Promises
Powered by LCLM - Large Code Language Models trained on billions of ASM blocks from hundreds of real-time production projects.
Results are inspectable, explainable, and verifiable. Always.
