Systems don't fail because they're too small. They fail because nobody can safely change them.

20+ years finding where complexity crept in, deleting what isn't earning its keep, and leaving a system the team can move quickly on.

Start a Conversation or read the case studies

B. CHILDRESS

software architect

COST

-25% cloud spend

deleted a data-persistence layer instead of tuning it

VELOCITY

weekly to daily

release cadence rebuilt on a stalled SaaS platform

TRACK RECORD

20+ years, multiple patents

Enterprise to early-stage, shipped at every scale

Most systems don't fail because they're too small. They fail because they got too complicated to understand, and nobody could safely change them anymore.

I've spent two decades on the other side of that problem, arriving at platforms where releases were rare and risky, incidents were routine, and the team had lost a clear picture of its own architecture. My job is to give that picture back: find where complexity crept in, remove what isn't earning its keep, and leave behind a system the team can move quickly on without holding its breath.

I work directly in the code, alongside the people who own it. The goal isn't a report; it's a system that's still legible after I'm gone.

What I believe about building software

These are the principles I actually work by, not slogans. Each one has cost me something to learn.

Delete before you optimize.

The cleanest win I've ever shipped came from removing an entire data-persistence layer rather than tuning it, which cut cloud spend by 25%. The fastest code is the code that no longer exists. I look for what can be retired before I look for what can be improved.

Don't cargo-cult a bigger company's architecture.

Most over-complexity comes from copying patterns built for problems you don't have. The right architecture is the smallest one that fits your actual constraints, not the one that looks impressive in a diagram.

A system you can't understand is a system you can't fix.

Comprehension is a feature. When a team loses the mental model of how its own platform works, increasingly common when code is generated faster than it's understood, velocity dies quietly. I rebuild that understanding as deliberately as I rebuild the code.

Make the safe path the easy path.

Teams don't ship slowly because they're careless. They ship slowly because shipping is scary. Real local dev environments, honest test coverage, dependable pipelines, and monitoring that tells the truth turn "deploy" from an event into a non-event.