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Methodology / Approach

Our Playbook

We develop with AI as the leverage. Every line is curated by senior engineers who own what they ship. The machine proposes; the engineer disposes.

01 / THE THESIS

Artificial intelligence is the greatest leverage in the history of software engineering. We use it the way a quant fund uses derivatives: as a multiplier on capacity, not as a replacement for judgment.

At Kurolabs, AI agents write the first draft of nearly everything — scaffolds, tests, benchmarks, even the boring parts. But nothing moves forward until a senior engineer has read it, challenged it, and signed it. The machine proposes. The engineer disposes.

This is not a marketing stance. It is an operational rule: AI output is untrusted input. It passes the same gates as any other code — in practice, stricter — or it does not ship.

02 / PRINCIPLES

Six rules the leverage has to obey.

01 / LEVERAGE, NOT DELEGATION

We ask the model to draft, explore, and stress-test. We keep the decisions: architecture, trade-offs, and the definition of done.

02 / SENIOR CURATION

Every merged line has been read and challenged by a principal-level engineer. If a human cannot explain it line by line, it does not ship.

03 / UNTRUSTED BY DEFAULT

AI-generated code passes the same CI as human code — in practice, stricter: fuzzing, property tests, and benchmark gates that catch what a reviewer's eye would miss.

04 / BORING TECHNOLOGY

We pick boring, proven technology and let the leverage make it arrive faster. Novelty is a cost we budget for, not a default.

05 / DETERMINISTIC PROOF

In systems where behavior matters, we demand replayable evidence: lockstep simulations, golden traces, and benchmarks that run on every commit.

06 / OWNED MACHINERY

We own the infrastructure that produces our code — the models, the harness, the weights. See the systems →

03 / THE LOOP

How an Engagement Runs

01

Discover

Problem definition, constraint analysis, and a written statement of what "done" means.

02

Architect

High-fidelity blueprints and interface contracts. The model drafts variants; the senior engineer picks one and defends it.

03

Build

Concurrent development in type-safe, compiled languages. Agents draft; humans curate every diff.

04

Optimize

Profiling, stress testing, and final tuning — until the benchmarks stop moving.

05

Operate

Long-term maintenance, monitoring, and the slow work that compounds.

04 / IN PRACTICE

What the leverage looks like on a running engagement.

Review
100% of merged lines are read and challenged by a senior engineer. No exceptions, no fast-lanes.
AI Drafts
First-pass code, tests, documentation, and benchmarks. The volume work is the machine's.
Human Gates
Architecture, API surface, security, performance. The decisions that are expensive to reverse stay with humans.
Verification
Fuzzing, property tests, and lockstep replay on every critical path. Behavior is proven, not asserted.

Leverage, Handled by Experts.

If your system needs to be fast, safe, and explainable line by line — that is the work we do.

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