Skip to main content

INSPECTURAL

Dark Factory Software Development

Lights-off software development. Production delivery with receipts.

We build systems where agents pick up real product work, make changes, run checks, leave evidence, and bring humans in when judgment matters.

Dark Factory

SEE HOW

Cloud-to-Metal

EXPLORE

Software should keep moving when nobody is watching

A dark factory turns scattered prompting into a delivery system: a clear request, a prepared workspace, checks, review, evidence, and human approval only where judgment matters.

How it works

From agent bursts to a delivery loop

Agents can write code. Dark Factory makes the surrounding routine reliable: start the job, understand the codebase, run the right checks, review risk, keep evidence, and ask a person at meaningful decision points.

That is why the work keeps moving. The system carries the routine, the agents do the focused work, and humans see the receipts when approval is needed.

01

Spec

Turn rough intent into a testable artifact before code starts.

02

Plan

Break work into steps, expected evidence, and review points.

03

Build

Give the agent a clean workspace and a clear job to finish.

04

Review

Use independent reviewers when the risk is high or the first answer looks shaky.

05

Verify

Keep tests, logs, diffs, and proof attached to the work.

06

Release

Let low-risk work flow. Stop at sensitive boundaries.

01

Dark Factory Systems

We design and build systems that turn agent prompting into a repeatable path from request to shipped change. The goal is less babysitting, more evidence, and clearer human control.

Talk About Dark Factory
02

Cloud-to-Metal Optimization

The same philosophy applies below the application layer. Stable workloads, serious margins, and sensitive operations often belong on infrastructure you can inspect, price, and control.

Explore Migration

Evidence you can inspect

Dark factory work fails when the system asks you to trust a transcript. It starts working when every agent action has inputs, outputs, policy context, and a reason a human can inspect later.

Talk to an engineer

Clear Control

Agents can propose and test changes. The system decides which work is ready for review, release, or a human decision.

Risk-Shaped Review

Low-risk changes can keep moving. Sensitive changes pause for stronger review and clear approval.

Receipts Everywhere

Diffs, tests, logs, decisions, and attempt history stay attached to the work.

Owned Substrate

Agentic development gets stronger when the software and infrastructure stack can be inspected.

Latest Insights

Notes on infrastructure economics, cloud failure modes, and the systems work behind serious automation.

Build the factory quietly

If your team is already using agents and hitting the ceiling of one-off chats, the next step is a system: workflow, evidence, review, and infrastructure that can take real responsibility.