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.
Independent engineering practice
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.
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.
01 / Transactional systems
Schema design, consistency guarantees, concurrency control and query performance for systems that move money, inventory or state — and can't lose any of it.
02 / Data platforms
Ingestion, batch and streaming pipelines, warehouse and lakehouse design. Correct at volume, observable end to end, and still affordable a year after launch.
03 / Applied AI
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.
04 / Cloud architecture
Reproducible foundations, infrastructure as code, resilience you've rehearsed and a bill that goes down instead of up.
05 / Technical leadership
Roadmaps, build-versus-buy, hiring loops, due diligence and the calls nobody else wants to make.
06 / Rescue & modernisation
Audit first, then a migration path that keeps the lights on — until the system is boring again.
Every engagement runs on the same four moves, scaled to the size of the problem.
Read the system the way it actually runs — code, data, traffic, team and contracts. Most answers are already in there.
Make the trade-offs explicit. Decisions are written down, costed and agreed before anyone writes a line of code.
Ship in small, reversible steps behind real metrics. Production is the only environment that tells the truth.
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.”
Weeks
Architecture reviews, second opinions and technical due diligence. A clear written answer, fast.
Months
Ongoing technical leadership for companies between seed and scale — or between CTOs.
Project
Hands-on design and build of a defined system — from the first diagram to production handover.
A short note on the system, the problem and the timeline is plenty to start.