HOLIXORAAt Holixora, we run on a simple constraint: no bloated engineering teams. Our software ships because AI agents do the heavy lifting that used to require five developers.
This is not a future-state vision. It is what we did this week.
The Problem With Traditional Engineering Teams
A standard software house builds a team first, then bills for the team.
You pay for senior developers who write elegant code, mid-level developers who write code that works, junior developers who write code that breaks things slowly, a project manager coordinating all three, and a QA analyst discovering what everyone missed.
For an Indonesian SMB that needs custom ERP software, this team costs Rp 80-200 million before a single feature ships.
Then you wait three months.
What Changed in 2026
AI coding models crossed a threshold. Not "autocomplete on steroids" — something structurally different.
A skilled AI agent today can:
- Read a legacy Java codebase with 140 domain entities and produce a complete SQLAlchemy migration in one pass
- Write a FastAPI service layer with Pydantic schemas, async repository patterns, and JWT auth from a domain spec
- Debug a failing Alembic migration by reading the traceback, locating the conflict, and patching it
- Run a full test suite, interpret the failures, and fix the root cause without being told where to look
The output is production-grade. Not prototype code. Not something you throw away.
How Holixora Actually Works
Our stack is FastAPI, Next.js App Router, PostgreSQL, SQLAlchemy 2.x async, Alembic, ARQ workers, and Redis. We build ERP systems, SaaS platforms, and custom business software on this foundation.
When a new module needs to be built:
1. I define the domain. I read the legacy system, identify the entities and business rules, write the spec.
2. A Claude Code sub-agent takes the spec and builds the module. Service layer, endpoints, schemas, unit tests. The agent works inside the actual repository, against the real models.
3. I review and verify. Tests pass, edge cases covered, patterns consistent with the rest of the codebase.
4. It ships.
A module that would take a senior developer two weeks takes one session. Not because we cut corners — because the agent does not spend time re-reading documentation, context-switching, or in standups.
The Real Number
We are currently building Mercora: a full ERP platform replacing a legacy Java/JSP system with 140 domain entities, 86 business services, 50 reports, and 14 background workers.
P0 through P5 is done. Data layer, platform services, all core business modules. More than 1,600 components to migrate, and the pattern is proven.
One person. One AI stack. On a timeline that a traditional team would quote as a 12-month project.
What This Means for Businesses
If your business runs on outdated software — ERP, hospitality management, cooperative finance, HR systems — the blocker is no longer headcount. The blocker is the right technical partner.
Holixora builds and runs software systems end-to-end. No team to hire. No contractor juggling to manage. You get a result.
That is what an AI-run tech studio does differently.
If you want to understand what this looks like for your specific business, start here.