Trust and adoption

Answer the engineering questions.

What LOCI analyses, what it concludes, and where it stops. Scope stated plainly.

Does LOCI run or simulate my application to predict behavior?

No. LOCI analyses compiled artifacts using learned execution models. Nothing runs on your silicon, there is no instrumentation and no probe.

The models are learned from physical measurements. Runtime tests and simulation still validate the application and any revision you make.

How can it help during /plan, before the code exists?

During planning LOCI reasons over a relevant existing compiled artifact together with your repository and application context — the callees your change will touch, the paths it will enter, the budgets it must live inside.

New or modified native code needs a build before LOCI can analyse that specific candidate. Planning guidance is grounded reasoning about what exists, not a measured result for something unbuilt.

Is the behavioral conclusion a direct model measurement?

No, and the distinction matters. Models and analyzers supply evidence. The coding agent reasons over that evidence with your application context and the Contract Envelope.

A consequence such as degraded output quality is conditional on the supporting evidence and the stated assumptions. Where a fact is missing, it stays explicit rather than being filled in.

Does LOCI predict every accelerator interaction or request delay?

No. CPU-accelerator reasoning needs relevant dependency evidence and operating context.

Cloud scope covers CPU demand along supported request paths — not every network, storage, operating-system or virtualization delay. Those remain separate contributors to final service behavior.

Does it replace coding agents, runtime validation or formal assurance?

No. LOCI adds execution grounding to the workflow you already have.

It does not establish exhaustive path coverage, automatic compliance, or certification-equivalent guarantees. Testing, simulation, profiling and hardware-in-the-loop remain complementary.

Earlier reasoning and later validation answer different questions.

LOCI

What could this change imply?

Combines execution evidence, application context and your requirements to reason about behavior.

Coding agent

What should we change?

Uses the grounded reasoning to plan, write, revise — or ask the engineer for missing context.

Runtime validation

What actually happened?

Test, simulate, profile or run HIL to assess behavior under the conditions actually exercised.

Complementary roles. No exhaustive-path, automatic-compliance or certification-equivalent guarantee.

Bring one behavior you cannot afford to get wrong.

A relevant repository and target, and the operating conditions that matter.