Hire Frontend Developers Who Use AI Tools Well
AI tools are genuinely fast at markup and boilerplate. They are not reliable at accessibility, novel interaction design, or performance under real constraints. Our frontend developers know exactly which is which.
- React, Vue and other frameworks
- Vetted on accessibility and performance
- Two-week replacement guarantee
What AI Tools Are Actually Good At in Frontend Work
Not a benefits list. A plain account of where the speed is real, so the next section means something by contrast.
Component scaffolding, repetitive markup, wiring a static design into a first pass of code, and boilerplate — form state, API-fetching hooks, the tenth modal of the project that looks like the first nine. This is real time saved on work that was never where the craft lived anyway.
A developer who refuses to use AI tools for this kind of work is not being careful. They are just slower, for no benefit to anyone reviewing their output.
Accessibility, genuinely novel interaction design, and performance under real constraints. Generated markup can look fine and still fail a screen reader. A generated interaction can be the nearest generic pattern in the training data rather than the one your product actually needs. A generated component can run smoothly on a fast laptop and badly on the phone your users carry.
None of that is visible from glancing at the output. It takes a developer who knows to look.
A description of where the tools are strong and weak, not a claim about any specific product or version.
Specific Checks, Not a General Impression
Whether a candidate can tell AI-generated markup that passes a glance from markup that actually works with a keyboard and a screen reader. Whether they can spot a performance problem an assistant would not flag on its own — a re-render loop, a layout thrash, an image nobody sized properly.
And whether, faced with an interaction nobody has designed before, they design it — rather than accepting the nearest generic pattern the assistant offers because it compiles and looks plausible.
Our AI code review standardsTwo Checks, Both Have to Pass
Engineering Fundamentals
- Debugging a real rendering or state bug without an AI assistant in the room
- Accessibility fundamentals: keyboard navigation, semantic markup, contrast and focus handling
- Performance reasoning: what causes jank, and how to actually measure it rather than guess
- Honest code review of someone else's component
AI-Assisted Work Review
- A frontend work sample built with AI tools, reviewed for what the assistant got wrong
- Whether accessibility was checked, or just assumed because the markup looked reasonable
- How they prompt for an unusual interaction versus a routine one
- Whether they can name what they changed from the AI's first draft, and why
Both evaluations sit inside the same vetting process every developer on the marketplace goes through.
What a Good Frontend Brief Looks Like
Tell us this
- Framework and design system in use, or the freedom to choose one
- Accessibility standards you are held to, if any, and how strictly
- The interaction or performance work that is genuinely hard here, specifically
- Who currently reviews frontend pull requests on your side
- Which AI tools, if any, your team already uses in this codebase
Watch out for this
- A brief that lists frameworks but says nothing about accessibility or performance bar
- Assuming AI tools remove the need for design or UX input on genuinely new screens
- A budget that treats frontend as the cheap half of a full-stack feature
- No mention of who currently reviews frontend work, if anyone does
When You Need a Full-Stack Developer Instead
If the frontend work here is thin and most of the feature lives in the API and the data model, a frontend specialist is the wrong shape of hire.
Hiring AI-Assisted Frontend Developers
Where are AI tools genuinely good at frontend work?
Component scaffolding, repetitive markup, wiring a design into a first pass of code, and boilerplate like form state or API-fetching hooks. This is real, unglamorous time saved, and a developer who refuses to use it is not being more careful, just slower for no benefit.
Where do AI tools fall short on frontend work?
Accessibility, genuinely novel interaction design, and performance under real constraints. AI tools can produce markup that looks fine and fails a screen reader, an interaction pattern nobody has described in training data, or a component that is smooth on a fast laptop and janky on the device your actual users carry. None of that shows up by glancing at the output.
Do your frontend developers work in a specific framework?
No. We match against React, Vue, and other frameworks depending on what your project uses. The AI-fluency and judgement axes we vet on apply the same way regardless of framework, so tell us your stack and we match against it rather than assuming one.
What do you specifically test for in frontend AI-assisted work?
Whether a candidate can tell AI-generated markup that passes a glance from markup that actually works for keyboard and screen-reader users, whether they can spot a performance problem an assistant would not flag on its own, and whether they design an interaction the assistant has never seen rather than settling for the nearest generic pattern it offers.
What does a good frontend brief include?
The framework and design system in use, whether there are accessibility standards you are held to, the interaction or performance work that is genuinely hard about this project specifically, and who currently reviews frontend pull requests. The harder parts of the brief are exactly where AI tools help least, so naming them changes who we put forward.
Need the other side of the stack? See hiring AI-assisted backend developers.
Tell Us What Is Genuinely Hard About This Screen
Share the framework, the accessibility bar, and the interaction work that matters. We match frontend developers vetted on exactly that.