HEXETIQ Imaging the world in code.

Hexetiq is my software engineering practice: 21+ years in development and architecture, now AI-first by default.

Understand your software. Modernize what matters. Build what comes next.

I help teams turn complex software situations into clear architecture, practical roadmaps, and working systems using senior engineering judgment amplified by AI-first delivery methods.

Legacy discovery Risk assessment Modernization Cloud & identity New foundations AI-first enablement

Where I help

Software systems made understandable, modern, and buildable.

I work where software is valuable but unclear: inherited codebases, modernization pressure, architecture risk, platform complexity, authentication and identity questions, security concerns, and new ideas that need a serious technical foundation.

01

Legacy System Discovery

Understand what exists before deciding what to change. I map architecture, dependencies, data flow, business logic, risks, and modernization options from the actual codebase.

  • System map
  • Risk register
  • Modernization options
02

Quality & Security Assessment

I review maintainability, security exposure, test coverage, dependencies, CI/CD, architecture pressure, and delivery risk, then turn findings into priorities.

  • Prioritized findings
  • Fix plan
  • Verification path
03

Modernization Sprint

I plan and execute focused modernization slices: framework upgrades, refactoring, migration paths, documentation, tests, and safer technical foundations.

  • Roadmap
  • Working slice
  • Handover
04

New Product Foundation

I turn new product ideas into serious starting points: requirements, architecture, data model, delivery plan, scaffolded codebase, and first implementation slice.

  • Specification
  • Architecture
  • Buildable base
05

Platform, Cloud & Identity

I design and review the platform layer teams depend on: cloud architecture, infrastructure, CI/CD, environments, authentication, OAuth2, identity providers, and access boundaries.

  • Platform plan
  • Identity design
  • Delivery pipeline
06

AI-First Engineering Enablement

I run workshops and hands-on support for teams adopting coding agents, CLI harnesses, review loops, repo instructions, documentation workflows, and verification gates.

  • Workshop
  • Team workflow
  • Reusable harness

How the work moves

Fast analysis. Grounded judgment. Practical delivery.

01

Map the reality

Read the code, trace behavior, identify risks, and turn scattered technical knowledge into a usable picture of the system.

02

Choose the path

Separate urgent problems from expensive distractions, then define the roadmap, tradeoffs, and verification needed to move safely.

03

Ship the slice

Execute focused implementation when it creates leverage: modernization slices, product foundations, harnesses, tests, documentation, and handover.

The working model

Senior experience keeps the work grounded. AI-first methods make it faster and deeper.

Hexetiq is my software engineering practice. It is built around a practical combination: 21+ years of software development and architecture experience, paired with years of working AI-first in real engineering workflows.

AI-first, in my work, means applying that accumulated software craftsmanship through modern AI tools. The judgment still comes first: knowing what needs to be done, where the risk is, how to sequence the work, and what must be verified. Then I guide AI agents and purpose-built tooling through that plan so discovery, documentation, refactoring, platform work, and implementation can move at AI speed without drifting into guesswork.

This is not unguided code generation. It is grounded engineering with faster instruments: clear direction, focused context, explicit workflows, and verification gates, with AI doing the detailed execution under senior engineering control.

Bring me the codebase, idea, or concern.

No formal brief needed.

Send a short note about what you are dealing with, what feels unclear, or what you are trying to move forward.

contact@hexetiq.com