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
Hexetiq is my software engineering practice: 21+ years in development and architecture, now AI-first by default.
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.
Where I help
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.
Understand what exists before deciding what to change. I map architecture, dependencies, data flow, business logic, risks, and modernization options from the actual codebase.
I review maintainability, security exposure, test coverage, dependencies, CI/CD, architecture pressure, and delivery risk, then turn findings into priorities.
I plan and execute focused modernization slices: framework upgrades, refactoring, migration paths, documentation, tests, and safer technical foundations.
I turn new product ideas into serious starting points: requirements, architecture, data model, delivery plan, scaffolded codebase, and first implementation slice.
I design and review the platform layer teams depend on: cloud architecture, infrastructure, CI/CD, environments, authentication, OAuth2, identity providers, and access boundaries.
I run workshops and hands-on support for teams adopting coding agents, CLI harnesses, review loops, repo instructions, documentation workflows, and verification gates.
How the work moves
Read the code, trace behavior, identify risks, and turn scattered technical knowledge into a usable picture of the system.
Separate urgent problems from expensive distractions, then define the roadmap, tradeoffs, and verification needed to move safely.
Execute focused implementation when it creates leverage: modernization slices, product foundations, harnesses, tests, documentation, and handover.
The working model
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.
Send a short note about what you are dealing with, what feels unclear, or what you are trying to move forward.
contact@hexetiq.com