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Corentin Lafay
Working method

How I work with AI while staying in control

AI speeds up my execution — never at the expense of quality or control. Here is, step by step, the workflow that guarantees code you (or any developer) can confidently take over.

AI proposes, I decide. I stay in control end to end and lock quality with automated guardrails (linting, strict typing, tests, CI) — I'm the one who guarantees what ships.

The workflow, step by step

The structuring decisions — scoping, control, quality — stay human. AI only steps in where it accelerates without risk, within a frame I define and that tooled guardrails enforce.

  1. Step 1 : Scoping

    Driven by me

    I understand the business need and define the scope and quality criteria. Nothing is delegated to AI at this stage: it's the foundation.

  2. Step 2 : Context

    Driven by me

    I give the AI the useful context — project conventions, constraints, existing architecture. It works within my frame, not the other way around.

  3. Step 3 : AI-assisted generation

    AI-assisted

    The AI proposes code and directions. This is where it saves time: drafts, variants, quickly getting up to speed on an unfamiliar codebase.

  4. The control loop

    Step 4 : Control & understanding

    Driven by me

    I stay in control: I understand the architecture and the choices, review the sensitive parts, and confirm the result does exactly what was scoped. Nothing ships that I couldn't re-explain or maintain.

  5. Step 5 : Quality harness

    Driven by me

    Linters, strict typing, automated tests, regression checks and continuous integration: tooled guardrails verify every change. Quality is proven continuously by the machine, not assumed.

  6. Step 6 : Iteration

    Driven by me

    Control and the quality harness repeat until validation. As long as a doubt remains or a guardrail isn't green, the loop continues — that's the heart of control.

  7. Step 7 : Documented delivery

    Driven by me

    I ship clean, documented, maintainable code, with the explanations your team needs to take over whenever it wants.

The control loop

Control, automated quality and iteration form a loop: you only leave it once the code is understood, verified by the guardrails and matches the criteria set at scoping. This mechanism is what turns AI-assisted generation into reliable production code.

Your guarantees

Human control end to end

Nothing reaches production before I've understood and approved the result. I drive the process and personally guarantee the code I ship.

Tooled guardrails

Linting, strict typing, tests and CI lock down quality and regression safety. Future changes can't break the existing app without it being caught immediately.

Nothing sensitive without your consent

No sensitive code or data is sent to a third-party AI service without your explicit agreement. The scope is defined with you.

Maintainable code

Clear architecture, documentation, conventions: any developer can take over after me. No dependency on my presence.

Frequently asked questions about AI

Unsure about AI in your project? Let's talk.

I'll walk you through exactly how I frame AI on your code, and what you get at the end. Fast reply guaranteed.

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