Applied Computer
Engineering
An ongoing experiment by Isaac MayaBuilding in public

Computers that help.
Factories that build.

I’m exploring software factories and how computers can help people read, browse, analyze, and turn ideas into useful work.

Explore the projects
01 / Human judgment02 / Repeatable workflows03 / Evidence from real work
Two projects, one direction

Choose the work.
Then build it well.

01 / EXECUTION

Nutmeg Software
Factory

The football software factory taking shape in Erythro. Planning, model coordination, implementation, and review support the work on Nutmeg and its data foundation.

Explore Erythro ↗
02 / PRIORITIZATION

Critical Path
Factory

A flow of analysis, model changes, review, and revision to find the tasks that matter most. The ambition: a small share of work that creates a large share of progress.

Read the project direction ↗

Both projects are underway. The 80/20 idea is a hypothesis to test; results and limitations will be documented as the work develops.

The working approach

A goal, a process,
an observable result.

01

Define the outcome

Start with what a person needs. Read, browse, and analyze the context before choosing the work.

02

Challenge the plan

Use different review roles to question clarity, dependencies, and correctness. Revise the tasks before executing them.

03

Learn from the result

Record what changed, what passed verification, and where the process failed. Let evidence shape the next iteration.

A concrete workflow reference: Sol Luna Loop ↗

An artifact of building in public

Follow the work
as it takes shape.

Plans, experiments, decisions, and failures — collected in a public repository so others can inspect the method and see what it produces.

Visit the repository