Renaming ClawHub to Loom taught us how to refactor a mature Python codebase without breaking imports, tests, or team momentum.
How I replaced raw Postgres queries with a type-safe repository pattern in a production scraper—improving testability and long-term maintainability.
We solved flaky tests in Git Context by normalizing file paths and fixing symbol reference counts in the database.
We introduced a service layer in a 15-year-old PHP app to untangle business logic, improve testing, and pave the way for future refactors.
We built a test framework to validate shared state in our Git Context pipeline, ensuring metric consistency across steps.
We replaced a 1931-line schema validator with a modular, manifest-driven pipeline powered by domain-specific metadata and backend-first validation.
We turned fragile data pipelines into self-validating contracts using schema-driven aggregation in HomeForged’s backend.
We built bounce email testing into our CI pipeline to ensure cleaner leads and more reliable AI-driven outreach at Lockline AI.
Full test coverage for betting types in Lockline AI slashed regressions and made AI model updates safe and predictable.