“We shipped an AI-built prototype. Now it has to hold up.”
It works, and customers are already using it. But nobody designed the permissions, the data model or the edge cases.
Two Senior Product Engineers
We build software that holds up in production.
We build new products, and we turn AI-built prototypes into production systems. We own the product, the UX, the architecture and the engineering.
- 10+ years each
- Full-stack ownership
- Startups → enterprise
- Product + engineering
- AI-native workflow
Where teams usually find us
“We need a product built, not a team hired.”
You have the funding and the roadmap. Hiring four people first does not fit the timeline.
“The hard part is nobody’s job.”
The AI feature, the data model, the migration. Nobody owns this work, so it waits.
01 — Selected work
The repositories are private, so we describe the systems.
01 · Automotive platform
From AI-built prototype to production platform
A Lovable/Supabase app already held customer data on a model that could not support it. We rebuilt the schema and the permissions, then automated the operations on top.
- listing prep 40 min
- under 5 min
- single dealer
- multi-tenant
- no access control
- row-level policies
React · TypeScript · Supabase · AI
02 · AI workflow platform
Complex enterprise workflows made usable
Operators needed to build and run reusable AI workflows without engineering in the loop. We designed the product model and built the engine underneath it.
- trigger
- steps
- tool calls
- review
- output
Next.js · Node · Postgres · Queues
03 · Document intelligence
A retrieval product a compliance team trusts
Extraction was accurate most of the time, which no audit accepts. We rebuilt retrieval around verifiable citations and hardened it for enterprise tenancy.
- “usually correct”
- cited to source
- silent failures
- review queue
- shared tenancy
- isolated per customer
RAG · Postgres · AWS
Everything above is under NDA or in a private repo. On a call we’ll go through the architecture and the trade-offs in as much depth as you want. We will also put you in touch with the people we built it for.
02 — Why two engineers
You work directly with both of us.
Direct communication
You talk to the people who make the decisions.
Senior execution
Both of us write the code ourselves.
Small-team speed
Two people deliver what used to need a team.
Shared ownership
Both of us are responsible for the whole product.
03 — What we do
idea → production
Build the product
From vague requirements to architecture, UX, implementation and shipping. You bring the direction. We turn it into working software.
prototype → production
Make the prototype real
Permissions, tenancy, data modelling, testing, observability and infrastructure. These are the edge cases a demo never reaches.
hard problem → shipped
Own the hard part
Agents, automation, data pipelines, integrations and migrations. The work that never reaches the top of the backlog.
04 — AI-native engineering
We use AI. We stay accountable for the result.
We use coding agents throughout development. We keep architecture, product decisions, security, review and reliability.
- 01Product problemus
- 02Architecture & specificationus
- 03AI-assisted implementationagents
- 04Engineering review & verificationus + CI
- 05Productionowned
05 — Technology
- React / Next.js
- TypeScript
- Node.js
- PostgreSQL / Supabase
- AWS Vercel Docker React Native OpenAI Anthropic Redis Queues
We choose the technology to fit the product.
06 — About
Igor
Senior Product Engineer
Full-stack engineer, strongest on product, UX and frontend architecture. Turns a vague business problem into screens and system boundaries that still hold six months later.
product · ux · frontend architecture
Srdjan
Senior Product Engineer
Full-stack engineer, strongest on backend, data and infrastructure. Finds the authorization hole and the query that fails at ten times the data.
backend · systems · integrations · infra
07 — How we engage
Product Build
Own a new product or a substantial area of one.
Workstream Ownership
We take ownership of a difficult product or technical area inside your team.
Technical Takeover
Audit and assume ownership of an inherited codebase.
Hardening Sprint
Short engagement on the biggest technical risks. It starts with a two-week audit, which you keep either way.
- 01
Understand
Product, users, existing system.
- 02
Define
Scope, UX, architecture, approach.
- 03
Build
Short iterations, frequent releases.
- 04
Ship & improve
Deploy, monitor, keep improving.
08 — The first two weeks
Judge us on the work.
We can’t show most of what we’ve built, so we keep the start of an engagement small, concrete and easy to walk away from.
Day 1–2
Technical deep-dive
A call about your codebase or your problem, in whatever depth you want. We ask architecture questions.
Week 1
Written assessment
Risks, priorities and a plan you own. It stays useful even if you hand it to someone else.
Week 2
Something shipped
One real fix or feature in production, so you can judge the code.
- Rolling monthly, no lock-in
- You keep every repo and document
- References on request
- We’ll sign your NDA first
What are you building?
Tell us what you’re building, where it is today, and what’s in the way. If there’s a codebase involved, we’ll sign your NDA before we look at it.
Start here
Tell us about the project
A few questions about what you’re building and where it stands. Takes about two minutes.
- 01You send the details
- 02We reply within one business day
- 03Technical deep-dive call, NDA first if needed
or email hello@stajics.com