D-04active

Custom Ops Tooling & Rebuilds

6-9 months and a full dev team -> one 2-week sprint.

custom code / app fabricationcompress timelines while preserving datadatabase-level security (RLS)assess-clean-test-deliver on existing code

The offer

Build Sprint

$20K · 2 wk

Your clunky workflow rebuilt bespoke, data preserved.

The offer

Cleanup Assessment

scoped

Assess, evaluate, recommend, sandbox, deliver.

Proof

What shipped

Take a fragile, insecure system and ship a production replacement - fast.

Situation: A field/admin workflow ran on a no-code platform with no real database-level access control, performance collapsing under 1M+ requests/day, and 5-15 hours of manual cleanup per report.
Built: A production admin app on a modern Postgres backend: full CRUD across six entity types, bulk CSV import, in-app user/role management, and true per-site row-level security enforced at the database.
Outcome: Shipped in 3 calendar days (171 modules, clean build, zero errors); per-site access proven across three user roles by direct database-impersonation testing. Infrastructure cost path dropped from ~$5-7K/yr to ~$1.2K/yr.

3 calendar days171 modulesper-site RLS proven across 3 roles$5-7K/yr to $1.2K/yr

Enforce access control where it actually holds - the database.

Situation: The old system's security was the UI hiding buttons; the data underneath was open to direct access.
Built: Row-level security tied to per-site membership and role, plus DB-owned audit stamping that can't be faked at the app layer.
Outcome: A field tech cannot read another site's data no matter what they do. Verified by impersonation testing, not claimed.

per-site RLSDB-owned audit trailzero false-access leaks in testing

Know when to clean up existing code instead of replacing it - and prove it before shipping.

Situation: Not every clunky system needs a ground-up rebuild; sometimes the existing code just needs to be understood and repaired.
Built: A disciplined path: assess the existing system, evaluate what's salvageable, make recommendations, prove the fix in a sandbox, then deliver.
Outcome: The client gets the cheapest correct answer - cleanup when cleanup works, rebuild when it doesn't - tested before it lands.

assess -> evaluate -> recommend -> sandbox/test -> deliver