Architecture
From business intent to production.
AI-native product engineering is a disciplined lifecycle: agents execute meaningful work across every stage while I retain product judgment, accountability, and release authority.
One lifecycle, six accountable stages.
The sequence makes decisions, dependencies, verification, and release boundaries visible. AOHYS is one public implementation of this practice—not the limit of the architecture or a map of the private Development System.
Business intent
Listen to the business, clarify the user outcome, surface constraints, and grill ambiguous language before choosing a technical path.
Domain & decisions
Model the domain, name stable concepts, compare tradeoffs, and record the decisions that shape the product and system.
Specs & dependency graph
Turn the agreed direction into specs, executable tickets, ownership, acceptance seams, and dependencies that preserve the right order.
Agent implementation
Specialized agents research, implement, test, and review bounded work. The human orchestrator integrates evidence and resolves the decisions tools cannot own.
Verification & browser QA
Use proportional TDD, linting, type checks, behavior tests, independent review, and browser QA to verify the real user-visible result.
Preview to production
Build a Preview Deployment, collect human review, promote through the Release Train, verify the Production Deployment, and run smoke checks.
Architecture is a sequence of tradeoffs.
Agent execution with human accountability
Agents can expand execution capacity, but they cannot own business intent, risk acceptance, or release authority.
I remain responsible for what gets built, how it is verified, and whether it is ready to ship.
Public explanation without publishing the private tool
The lifecycle should be inspectable without exposing private instructions, operating methods, or delivery details.
The Development System remains private and adaptable; shipped products and sanitized artifacts provide the evidence.
Preview before production
A green build does not prove that a release works in its real environment.
Protected promotion, a Preview Deployment, human review, and smoke checks make production a separate decision.
Operating notes
The seams that keep the topology connected.
Human accountability
Agents execute requirements work, modeling, specs, tickets, implementation, tests, review, and QA. Alejandro retains product judgment, integrates the evidence, and authorizes release.
Public Source Site and Private Work
The Public Source Site makes AOHYS implementation choices inspectable. Private Work—including client code, data, operational screens, credentials, and the Development System—remains private.
Release Train
A Preview Deployment is built and reviewed first. Production moves through a separate promotion with explicit authority, environment checks, deployment verification, and smoke checks on the canonical domain.
AOHYS as a visible implementation
AOHYS demonstrates localized public routes, authenticated private workflows, typed content, observability, and a protected release path. It is one concrete example of the broader professional architecture.
Private Development System
The Development System coordinates tools and agents across different coding environments. It is private, not open source or a commercial template, and every team should adapt its own practice.
Production feedback
Observability, analytics, errors, smoke checks, and stakeholder feedback return real behavior to the next product decision instead of treating release as the end of the lifecycle.
Inspect the source
This repository is a public working sample. It does not make private client code, product code, credentials, private screenshots, or operational data public.