The code is becoming hard to maintain
Every feature costs more than the last. Juniors write "the way they're used to," seniors spend reviews on style instead of the domain.
Methodology
An architectural methodology: a language-neutral contract plus Java, Python, and Node bindings
↓ consists of
Knowledge
1,472 rules with codes R-AGG-X4, PG-T-013 across 17 style guides.
Contract
16 sections in the repo alongside the code. Section depth is chosen to match the service's maturity level.
Depth
The team picks a level to fit the task — from MVP to hexagonal.
Implementation
The reference Java binding, open-source, Apache-2.0. Python and Node bindings are assembled from their ecosystems.
↓ implemented by bindings
Binding · ready
Spring Boot, jOOQ, reference libraries. Articles are in Standards.
Binding · ready
FastAPI, SQLAlchemy, Pydantic. Style guide and ucp-py-* skills.
Binding · ready
NestJS, TypeORM, class-validator. Style guide and ucp-node-* skills.
Binding · in progress
net/http + chi, sqlc. Code prefixes are reserved.
↓ applied through
↓ outcome for the team
A backend team of 5+ (Java/Kotlin, Python, or Node), a product built for years ahead. If even one symptom feels familiar, it's worth talking.
The code is becoming hard to maintain
Every feature costs more than the last. Juniors write "the way they're used to," seniors spend reviews on style instead of the domain.
AI writes code, but there's no consistency
Three Claude sessions give three different solutions. A year later — ten services in ten styles.
Specs go stale before they're even approved
The analyst writes, the developer rewrites, and a month later no one knows where the truth is.
A 30-minute chat on Telegram — we'll discuss the context and agree on a format. No "about the company" slides.