Integrating AI into Your Engineering Workflow
AI

Integrating AI into Your Engineering Workflow

Where AI accelerates senior engineers, and where it quietly costs you more than it saves.

1 min read

AI is a brilliant junior pair programmer and a reckless architect. The difference is entirely about where you point it.

High-leverage uses

  • Boilerplate and repetitive refactors
  • Generating the first draft of tests
  • Explaining an unfamiliar codebase quickly
ts
// Let the model draft, you decide
const draft = await ai.complete(`write a Vue composable for debounced search`)

<h2 id="where-to-stay-in-control">Where to stay in control</h2>
<p>:::warning
Never let a model be the sole author of a security boundary, a migration, or an API contract. Review those line by line.
:::</p>
<h2 id="a-simple-rule">A simple rule</h2>
<p>If you could review the output confidently in five minutes, delegate. If you would need to research to verify it, you are the one doing the work — the model just added a round trip.</p>
<blockquote>
<p>AI does not raise your ceiling. It raises your floor, and frees your attention for the parts that actually require judgement.</p>
</blockquote>
Joyonto Kumar Sarker

Joyonto Kumar Sarker

Senior Full-Stack Software Engineer

Founder & CEO of Deveable

I build reliable, high-scale web platforms — multi-tenant SaaS, ERP, and payment infrastructure. I write about the architecture decisions behind software that ships.

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