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Services

CODE X works with companies that need engineering depth rather than headcount. Engagements run from a single architecture review to owning a product end to end — with AI in the loop throughout.

01

Product Delivery

Web platforms, APIs and backend systems taken from architecture through to production. We act as your engineering team, or work alongside the one you have, with an AI-assisted workflow that shortens the distance between a decision and working software.

  • Full-stack web applications
  • REST, GraphQL and event-driven APIs
  • System integrations and data pipelines
  • Database design and performance work
  • Automated testing and CI/CD pipelines
  • Legacy systems brought back under control
02

AI Product Engineering

LLM features built to production standards rather than demo standards — agents that use real tools, retrieval grounded in your own data, and the evaluation harness that tells you whether any of it works before your users find out for you.

  • LLM features inside existing products
  • Agents with tool use and function calling
  • Retrieval-augmented generation over your data
  • Evaluation harnesses, regression suites and guardrails
  • Prompt and context architecture
  • Cost, latency and failure-mode engineering
03

Engineering Practice & Consulting

Independent judgment on decisions that are expensive to get wrong — and help getting AI-assisted development into a team without loosening the standards that keep software correct.

  • Architecture and code review
  • AI tooling adoption for engineering teams
  • Cloud architecture on AWS, Azure and Google Cloud
  • Authentication and identity (OAuth 2.0, OpenID Connect, SSO)
  • Legacy modernization and migration planning
  • Technical due diligence

AI and delivery tooling

The machinery we build around a project so that fast work stays correct.

  • LLM agents
  • Tool use & MCP
  • Retrieval (RAG)
  • Evaluation harnesses
  • Typed contracts
  • CI/CD pipelines

Languages and platforms

We are not defined by a stack. These are the tools we have shipped with most — but the choice follows the problem, and the cost of working outside this list is far lower than it used to be.

  • Ruby on Rails
  • .NET
  • Go
  • TypeScript
  • Python
  • AWS
  • Azure
  • Google Cloud

Engagement models

Project

Defined scope, fixed price, agreed milestones. Best when you know what needs building.

Retainer

A recurring monthly block of engineering capacity. Best for ongoing development and support.

Advisory

Focused consulting on a specific decision or system. Delivered as a review, a plan, or both.