Every website change waits on my developer to upload it by hand. How do I fix that?

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This is worth separating clearly, because the fix is different depending on which problem you actually have. "My developer takes a week to make the change" is a different problem from "my developer made the change on Monday and it didn't go live until Thursday because they forgot to upload it." The second one has a real, mostly permanent fix. The first one doesn't.

What Git-connected deploys actually do

Once your site's code lives in a Git repository (GitHub, GitLab or similar) and that repository is connected to Netlify, every time code changes in the right branch, Netlify automatically rebuilds the site and republishes it, with no human needing to manually package and upload anything. The developer's job shrinks to "write the change and save it," and the publishing step that used to require a separate manual action just happens.

This removes exactly one specific bottleneck: the gap between "the change is written" and "the change is live." It does nothing for the gap between "you asked for the change" and "the change is written," which is a different conversation entirely about your developer's workload or responsiveness.

Step by step: how to set this up

1. Confirm the site's code actually lives in a Git repository. If your developer has been manually uploading files that only exist on their own computer, this needs to happen first, and it's worth asking directly whether a repository already exists before assuming one does.
2. Connect that repository to Netlify. This is a one-time setup: authorize Netlify to access the repository, and choose which branch (usually called "main" or "master") represents the live site.
3. Set the build command and output directory. Depending on what the site is built with, this might be nothing at all (plain HTML) or a specific build command your developer can provide in under a minute.
4. Make a small, low-risk test change and push it. Confirm the site actually rebuilds and republishes automatically before trusting the pipeline for anything that matters.
5. Agree on who approves what goes live. Automatic doesn't have to mean unreviewed; Netlify's own Deploy Previews can show you a working preview of a change before it reaches the live site, which is worth setting up alongside this if you want a review step kept in the loop.

What this actually costs

Git-connected deploys are available on every Netlify plan, including the free one. A production deploy costs 15 credits against the free tier's 300 monthly credits, which covers dozens of updates a month before you'd need to pay anything. Where cost comes in is concurrency: the Pro plan ($20/month) supports multiple concurrent builds running at once, useful mainly for a busier team pushing several changes close together; a solo developer or small team rarely needs this, and it's worth confirming your actual update frequency before assuming you need the paid tier for this specific reason.

The alternatives, and when they fit better

Vercel offers essentially the same Git-connected automatic deploy model, and is a reasonable like-for-like alternative if your developer already prefers it or your site is built with a framework it's particularly tuned for.

Cloudflare Pages does the same job on Cloudflare's own infrastructure, worth considering mainly if you're already using Cloudflare heavily for DNS or security and want fewer separate dashboards.

When to skip this

If there is no developer and no code repository involved at all, this entire approach has nothing to connect to. A plain file-drop deploy, or a hosted site builder with its own editor, is the right fit if there's no ongoing code-based development happening behind the site.

A worked example: a two-week wait that turned out to be a ten-minute fix

Say a business owner has been waiting two weeks for a developer to update a pricing table on their site, and every time they follow up, the answer is some version of "it's done, I just haven't had time to push it live yet." The change itself, editing a few numbers in a file, probably took the developer twenty minutes. The other two weeks were spent waiting for that developer to find a free moment to manually package the site and upload it somewhere, a task that competes for attention with everything else on their plate and always loses because it feels less urgent than writing new code.

Once that same developer connects the site's repository to Netlify, the exact same twenty-minute pricing change goes live within a couple of minutes of being saved, with no separate "find time to upload it" step ever entering the picture again. The business owner isn't getting faster code from the developer, they're just no longer waiting on a second, entirely separate task that had nothing to do with the actual work. This is usually the real story behind "my developer is slow:" much of the actual delay was never the coding at all, it was everything that happened, or didn't happen, after the code was already finished.

Common mistakes when making this switch

• Assuming automatic deploys mean no oversight at all. Some business owners resist this change because they picture code going live the instant someone saves it, with nobody checking first. Deploy Previews solve exactly this, giving you a private preview link before anything merges into the live branch, so the review step can stay in place even once publishing itself is automatic.
• Not confirming which branch is actually "live." If the connected branch isn't the one your developer actually works from day to day, changes on their working branch simply won't show up on the live site, and it can look like the automation silently isn't working when really it's watching the wrong branch.
• Treating this as a developer-performance fix when it's a process fix. If your developer has been slow because of workload, not because of a missing upload step, removing the upload step won't change how quickly new work gets started. Be honest with yourself about which bottleneck you're actually solving before expecting this to fix a frustration it was never built to fix.

How I'd approach this

I'd separate the two problems honestly before doing anything. If it's purely the manual-upload bottleneck, setting up Git-connected deploys is a quick, low-cost fix that pays for itself the first time it saves a day of waiting. If the real bottleneck is your developer's availability or responsiveness, automating the publish step won't touch that, and it's worth having that separate, more direct conversation instead. Where I actually get involved is building the review and approval step properly around the pipeline, so "automatic" doesn't accidentally mean "nobody checked it before it went live." Get in touch if you want that set up correctly from the start.