Independent engineering practice

Engineering for the next order of magnitude.

Future Code designs, builds and steadies the systems companies run on — transactional cores, data platforms, production AI and the cloud underneath them. Led by a CTO with more than a decade of putting them into production.

Experience
10+ years leading engineering
Scope
OLTP · Data · AI · Cloud
Model
Senior by default. No layers.
Local time
--:-- · Poland

Systems rarely fail because of the technology. They fail at the seams — between services, between teams, between the plan and the traffic. Future Code works at the seams.

The work covers the full chain of decisions: data models that survive the next pivot, pipelines that stay correct at volume, cloud footprints you can explain to a CFO, and engineering teams that can carry all of it once the engagement ends.

You work directly with the person who designs the system. No account managers, no hand-offs to juniors, no forty-page deck before the first useful answer.

Built for the busiest hour
of the busiest day.

01 / Transactional systems

Cores where every write matters.

Schema design, consistency guarantees, concurrency control and query performance for systems that move money, inventory or state — and can't lose any of it.

  • Data modelling
  • Isolation & consistency
  • Query tuning
  • Zero-downtime migrations

02 / Data platforms

From event stream to answer.

Ingestion, batch and streaming pipelines, warehouse and lakehouse design. Correct at volume, observable end to end, and still affordable a year after launch.

  • Streaming
  • Batch & ETL
  • Lakehouse
  • Data quality

03 / Applied AI

AI that survives contact with production.

LLM features, retrieval pipelines and agents built on data you can trust — with evaluation, guardrails, latency budgets and unit economics designed in, not bolted on.

  • RAG & retrieval
  • Agents & tool use
  • Evals & guardrails
  • Inference cost control

04 / Cloud architecture

Infrastructure, priced on purpose.

Reproducible foundations, infrastructure as code, resilience you've rehearsed and a bill that goes down instead of up.

05 / Technical leadership

The CTO seat, for as long as you need it.

Roadmaps, build-versus-buy, hiring loops, due diligence and the calls nobody else wants to make.

06 / Rescue & modernisation

Slow, fragile or simply outgrown.

Audit first, then a migration path that keeps the lights on — until the system is boring again.

Fewer surprises.
On purpose.

Every engagement runs on the same four moves, scaled to the size of the problem.

  1. 01

    Map

    Read the system the way it actually runs — code, data, traffic, team and contracts. Most answers are already in there.

  2. 02

    Decide

    Make the trade-offs explicit. Decisions are written down, costed and agreed before anyone writes a line of code.

  3. 03

    Build

    Ship in small, reversible steps behind real metrics. Production is the only environment that tells the truth.

  4. 04

    Hand over

    Leave behind a system your team understands and owns: documentation, runbooks and people who can carry it forward.

“Boring in production is the highest compliment a system can get.”

Three ways to work together.

Weeks

Advisory

Architecture reviews, second opinions and technical due diligence. A clear written answer, fast.

  • System & cost audit
  • AI readiness & use-case review
  • Investor-grade due diligence

Project

Delivery

Hands-on design and build of a defined system — from the first diagram to production handover.

  • Platform, data & AI builds
  • Migrations & re-platforming
  • Performance programmes

Let's talk about what
you're building next.

A short note on the system, the problem and the timeline is plenty to start.