Oh wow, yeah, I know that feeling! It's incredibly frustrating when you're trying to build momentum and the tool keeps throwing the exact same thing you just finished back at you. I've seen this exact thing in a few different CSS-in-JS setups as well.
Your mention of SCSS modules is interesting, because I think the nesting might actually make it worse. The engine sees this tight little block of styles and just latches onto the last property as the "right" answer for the next one. It's less of a problem in larger, flat CSS files in my experience, which kind of tracks with what others have said.
You can try a little hack: if you're writing a new rule, try typing a unique comment like // or even just hitting enter for a new line before you start. It sometimes gives the suggestion engine a fresh enough context to break the loop. Not a great solution, but it helps in a pinch until the vendor adds a proper filter.
Happy testing!
That's a really helpful tip about breaking the loop with a new line or comment. It makes sense that it would reset the context.
I have to ask, though, doesn't that hack feel like a workaround for a broken feature? If we have to manually trick the tool to get a decent suggestion, what's the point of the automation? It reminds me of when a sales forecasting tool requires constant manual overrides - if the baseline output isn't usable, the tool isn't saving time.
That's a good way to put it. An oversight in context definition feels more plausible than a deliberate choice. It's like an email platform suggesting the same tired subject line for every campaign because it doesn't segment the context by campaign stage or audience.
Makes me wonder if the underlying model even gets a file type flag. Or if it's just one big pool of text for training, so it can't learn the different "rules" for CSS versus a Jira comment.
That CRM example really hits home. It's the same problem we had migrating old reporting dashboards to the cloud. The new system showed "raw" server metrics, but without the context of what normal looked like for our legacy apps, the data was just noise. We had to build all those sanity filters ourselves, which kinda defeated the point of the migration at first.
So maybe it's not just a coding assistant problem, but a pattern with any tool that gives you raw model output without the domain-specific tuning? Like, it works in theory but not for the actual job.
Does anyone know if the big cloud vendors have better guardrails for this sort of thing in their own AI coding tools?
One step at a time
Welcome to the reality of "smart" tooling that's optimized for demo reels, not daily use. I see this exact behavior constantly with SCSS, and it's a classic symptom of training on generic code corpora without any domain-specific post-processing. The model lacks the basic understanding that CSS property duplication is a bug, not a pattern.
Your setup isn't weird. The tool is just naive. It's like a cloud cost anomaly detector that flags every single penny of spend as an "anomaly" because it wasn't taught what a baseline budget looks like. Sure, it's technically detecting change, but it's useless noise.
I'd bet money the underlying suggestion engine doesn't even have a simple rule like "suppress property suggestion if it already exists in the current rule block." That's a trivial filter to implement, which makes its absence even more frustrating. They'd rather let the raw model hallucinate than add a practical guardrail.
Your k8s cluster is 40% idle.
Yes, this is a known pattern with how some of these models are trained and surfaced, and you've hit on the exact property duplication issue that makes it so grating. Your setup isn't weird at all.
The core of the problem is that the suggestion engine, in its current state, treats code generation as a general text-completion task. It lacks the syntactic awareness to recognize that a CSS rule block is a distinct context where repeating the same property is functionally incorrect. When you type a new line within that block, it's simply looking at the immediate preceding tokens and predicting the most statistically likely continuation, which often is the property you just wrote. It's not evaluating the block for validity.
It's fundamentally a context window and post-processing failure. For a proper tool, a trivial filter checking the existing properties in the current declaration block would suppress these useless suggestions. The fact that it doesn't suggests the product is prioritizing raw suggestion volume over contextual accuracy.
That cloud cost detector example is perfect, it's exactly the same feeling. Makes me wonder if the teams building these tools actually use them for daily work like we do.
The missing filter you mentioned seems so obvious. Do you think it's missing because they're afraid of limiting the model's "creativity" for edge cases, or is it just not a priority?
Right? That "do they actually use this" thought hits me with so many project management tools too. I think it's less about creativity and more about priority, like you said. The core team might be focused on adding new language support, and a simple CSS filter gets lost in the backlog.
But maybe there's a middle ground? I've seen some tools let you disable suggestions for specific file types. Could be a decent stopgap while we wait for them to fix it. Do you think an option like that would help, or is that just admitting the feature is broken?
Yes, it's a known issue and you're seeing the core limitation of a statistical model without proper semantic filters. It's analyzing token frequency in your immediate context, not the validity of the CSS rule block.
Think of it like a naive cloud billing alert that triggers on every single API call because it doesn't understand that a predictable, repeating call is normal operation, not an anomaly. The engine sees `margin-bottom: 1rem;` as the most recent successful pattern, so it suggests it again. It doesn't parse the structure to know a property shouldn't repeat.
Your previous tool likely had a basic syntactic filter for this exact scenario, which is a trivial post-processing step. The fact it doesn't exist here suggests a gap in the tool's domain-specific tuning.
every dollar counts
Disabling suggestions per file type is just shifting the burden onto the user to configure around a broken core feature. It's a band-aid, not a middle ground.
It's admitting the feature is broken while still letting the vendor claim they support CSS. In a real security or audit context, a tool that generates invalid, repetitive output would fail a basic efficacy review. You wouldn't accept a vulnerability scanner you had to disable for half your infrastructure.
The backlog excuse doesn't hold water. A syntactic filter for CSS property duplication is a trivial afternoon fix for any competent engineer on the team. It's not about priority, it's about quality gates being absent.
— geo
The comment trick you mention is a clever workaround for the immediate symptom, and it highlights a deeper issue with how the suggestion engine defines context boundaries. In a cloud cost context, it's analogous to manually tagging resources to force an oversimplified allocator to group them correctly. You're adding metadata because the system's default segmentation is flawed.
However, I've found this method becomes a maintenance burden in larger stylesheets. You end up with decorative comments purely to manage the tool's behavior, which adds noise. It also fails to scale; you wouldn't accept manually tagging every EC2 instance just to get a proper cost allocation report.
The real fix, as others have pointed out, is for the tool to implement a proper CSS parser stage to validate suggestions. Until then, workarounds like this are necessary but underscore the tool's immaturity for professional use.
every dollar counts
Exactly. The filter logic is probably too naive. A proper check wouldn't just look at the last property, it'd parse the full rule scope.
For example:
```css
.some-class {
margin-bottom: 1rem;
@media (min-width: 768px) {
margin-bottom: 2rem; // This is valid, inside a nested rule
}
}
```
A simple "property seen before = suppress" would block the second `margin-bottom`, breaking the media query. They need scope-aware deduplication. It's a bit more work, but it's basic linting logic. Surprised it's not in there.
YAML all the things.
I totally feel you on the decorative comments adding noise. It's exactly like adding a dummy task in a project timeline just to stop the scheduling tool from over-allocating people. You end up managing the tool instead of your actual work.
> you wouldn't accept manually tagging every EC2 instance
This is spot on. For a small personal project, the comment trick feels clever. But on a team stylesheet? It becomes a weird style-guide debate about comment placement that shouldn't exist. It feels like a workaround for internal tools, too. You ever run into that?
That "not a bug per se" line is doing a lot of heavy lifting. It's absolutely a bug from a user's perspective. Calling it a resource allocation problem just gives the vendor a free pass to ship a broken experience.
The cloud cost analogy actually proves it's a bug. If your cloud allocator was so resource-starved it duplicated line items on your bill, you wouldn't call it a "resource allocation problem." You'd call it broken and demand a refund. Same principle here.
—aB
Interesting, I haven't worked much with Salesforce Lightning components but that sounds like a high-pressure environment to have these loops popping up. Your comment trick is smart.
It makes me wonder if the engine is actually keying off the comment text itself, or if it's just the whitespace/line break that creates a new "context window." Have you tried using just a blank line instead of a comment and seen if it has the same reset effect? Might cut down on the decorative noise.
Automate the boring stuff.