Human accountability
Generated code is reviewed and tested against the agreed requirements. If a component needs specialist assurance, that review is scoped explicitly.
AI-assisted development & delivery
More possibility.
Same accountability.
I use AI coding assistants to accelerate development, backed by more than a decade of software engineering experience.
Human-led.AI-assisted.
AI-assisted. Engineer-led.
I use AI coding assistance during development. My role is to define the problem, review the implementation and make informed delivery decisions.
Your information, your rules
We agree approved tools and information boundaries before confidential code or data is shared with an external service.
A clear handover
Repository access, account ownership, licensing, documentation and support terms are agreed in the proposal.
Already have an AI-built prototype?
A scoped review can identify functional gaps, permission risks, deployment issues and maintenance work. Automated checks assist the review; they are not a security certification.
My approach
The assistant helps.
The engineer owns it.
AI makes it easier to explore, prototype and implement. I bring the judgement to decide what to build, how it fits and whether it is ready to use.
More room to explore.
I use coding assistance to analyse a problem, draft an implementation and work through small, reviewable changes.
Clear responsibility.
I remain responsible for the architecture, business rules, access permissions, code review and the decision to release.
The output is a starting point for review. Experience and evidence guide the next step.
From a clear brief to a checked change.
How I workFrame the problem
Understand the system, constraints and acceptance criteria before implementation starts.
A shared definition of the taskBuild in small steps
Explore approaches and use assistance to scaffold and refine manageable changes.
Code that can be reviewedVerify the behaviour
Review the code and check behaviour, security assumptions and relevant edge cases.
Checks suited to the changeOwn the delivery
Consider maintainability, release readiness and the information the next engineer needs.
An informed release decision
In practice
Useful acceleration.
Clear boundaries.
Here is where assistance can help—and the engineering checks I bring to each task.
Get to grips with
an existing codebase.
Explore unfamiliar code, trace a workflow and identify the parts that need closer attention.
My engineering check
Confirm the explanation against the source code and the system’s actual behaviour.
Turn an idea into
a working prototype.
Explore implementation options and scaffold a workflow in small, reviewable steps.
My engineering check
Check the business rules, integrations and acceptance criteria with the people who will use it.
Refine what
already exists.
Draft tests, refactor repetitive code and make documentation easier to follow.
My engineering check
Review what changed, protect existing behaviour and check the relevant edge cases.
Working with your team
Your context shapes
the approach.
We agree the tools, information boundaries and delivery expectations around your project.
Talk through your requirementsCan you work within our tool policy?
Yes. We agree which tools and information can be used before code or business information is shared with an external service.
Your organisation’s policies and approval requirements guide how I use assistance on the engagement.
Do you promise a fixed speed improvement?
No. The benefit depends on the codebase, task and review requirements. Scope and delivery expectations are agreed around your actual project.
Need an experienced builder?
Let’s discuss what AI-assisted engineering could mean for your project.