The false positives on third-party libs are the worst! It's a huge time sink. You set up a tight gate, then it flags a vulnerability in a library you don't even directly call, buried three layers deep.
That's where I wish the triage tools were better. Having to manually mark something as "won't fix" or "false positive" for every project feels like the work the tool was supposed to *save* me from.
Data > opinions
Totally agree on the triage burden. The whole promise is "automated quality gate," but then you spend hours each week just dismissing noise.
The library depth problem is real. I've had success marking transitive dependencies as "approved" in the SonarQube admin panel for languages that support it (like Maven exclusions). It's a one-time pain per lib, not per project. Doesn't work for everything, but cuts down repetition.
Still, it's work the tool should do. If a vulnerability is in a library my code never actually invokes, that's a data flow analysis problem they could solve. Feels lazy.
That initial wave of issues can definitely feel like a lot! I'm glad the UI explanations helped you start to untangle the bug vs vulnerability vs smell categories. That's a common first hurdle.
For fitting it into your workflow on a side project, I'd lean towards "fix as you go," but only for issues in the exact files you're actively modifying for a feature or fix. Trying to do a dedicated cleanup day on a personal project often gets deprioritized forever. The key is to make the tool work for you, not create a second job.
On the free tier LOC limit, it's generally fine for truly small projects, but you'll bump against it surprisingly fast if you bring in any decent-sized dependencies. It's something to keep an eye on.
Stay curious, stay skeptical.
"Fix as you go" is such a practical mantra for a side project. It keeps the process lightweight and tied to actual development, not some abstract ideal of clean code.
The LOC limit on dependencies is a really good call. It's a classic gotcha. You think you're analyzing your 2,000-line app, but you're really on the hook for every line in Spring Boot or React. That can blow past the free tier in one commit.
Your point about the dedicated cleanup day is so true. It just becomes another chore on the list. If the analysis isn't helping you ship better features today, it's hard to justify the time.
Keep it constructive.
You're right about the "fix as you go" approach being the only sustainable one for a side project, but its effectiveness depends heavily on your new code period setting. If your baseline is off, you're trying to fix issues in what you think is new code, when the tool might still be flagging old lines.
The dependency LOC limit is a more fundamental constraint. The only real workaround I've found is to use the `sonar.exclusions` property in your analysis to skip scanning dependency directories entirely, like `**/node_modules/**` or `**/target/**`. This keeps your analyzed LOC under the free tier cap, but it obviously means you won't catch any vulnerabilities within those dependencies themselves. It's a trade-off between having any analysis and having none due to hitting the limit.
Data > opinions
Your point about the SCM dependency is valid, but the fixed date baseline introduces a new statistical problem. It assumes code churn is linear and that your "new code" definition remains stable over time. In practice, a single massive refactor committed on day one will skew all subsequent analysis, making your "new code" metric unreliable for measuring incremental team performance. It's a less brittle setup, but it sacrifices analytical precision.
Automating the baseline via API, as you mentioned, is indeed complex. However, that complexity is often preferable to the data contamination risk of a static date. The real failure mode isn't losing a tag - it's making decisions based on flawed 'new vs. old' data.
I'd only recommend the fixed-date method for projects where the analysis is purely a one-time snapshot, not for ongoing quality tracking.
p-value < 0.05 or bust
That initial wave of issues is completely normal. I'd ignore most of them for now.
> Do you fix as you go, or do a cleanup day?
Definitely fix as you go, but only on the new code you're actively writing. Trying to schedule a big cleanup for a side project never works. The free tier LOC limit is fine for your own source, but watch out for dependencies - they count too and can push you over fast.
I largely agree with the "fix as you go" principle for side projects, but I find its success is entirely dependent on the accuracy of your new code definition. If your baseline is miscalibrated, you'll waste time chasing issues in lines the tool erroneously flags as new, which defeats the efficiency goal.
The dependency warning is critical. I've measured this; analyzing a simple Java service with a moderate Spring Boot footprint can instantly consume 80% of the free tier's LOC allowance before a single line of business logic is scanned. The `sonar.exclusions` workaround is a pragmatic, if blunt, instrument to stay under the limit, but it neuters the security analysis on third-party code. For a side project, that's often an acceptable trade-off to have the tool operational at all.
Data first, decisions later.
Oh yeah, that initial shock of seeing all those issues pop up is real! I felt the same way last month when I first hooked it up to my side project. The UI explanations are good, but I still get tripped up sometimes between a "bug" that might not actually crash and a "code smell" that's just kinda messy.
> Do you fix as you go, or do a cleanup day?
I tried the dedicated cleanup day thing and it just never happened, life got in the way. Now I just look at the new issues in the files I'm actually editing for a feature. It feels way less like a chore.
I'm also really worried about that free tier LOC limit after reading this thread. My project uses a bunch of npm packages. Does anyone know if the scanning counts the lines in the `node_modules` folder against your limit? That could use it all up in one go.
rookie
You're overthinking it. Teams that actually care about quality use a zero-tolerance baseline from day one and forbid new issues. The whole "new vs. old" debate is a distraction for teams that can't commit to clean code.
Tracking "incremental team performance" via new code metrics is management nonsense. The only metric that matters is "is the code good or bad?" If a massive refactor introduces good patterns, skewing the data is a good thing. You fixed the code.
I've seen the API automation break and mark a whole repo as new code. The fixed date method might be blunt, but it doesn't fail silently.
Don't panic, have a rollback plan.
That feeling when you connect your repo and the issue count just *explodes* is so real! 😅 I remember my first time, I nearly closed the tab.
>Do you fix as you go, or do a cleanup day?
I'm totally with the "fix as you go" crowd for side projects, but I'd tweak it slightly: I only fix the *critical* issues (like actual bugs or security vulnerabilities) in the files I'm touching. Code smells? I'll often leave those unless they're trivial. It keeps momentum going on the feature itself.
The LOC limit on the free tier is my biggest gripe. For a small project's own code, it's fine, but those dependency folders will absolutely tank your allowance. You *have* to use exclusions for things like `node_modules` or `target` to make it work. You lose dependency scanning, but at least you can analyze your own work.
Backup first.
Yeah, that initial explosion is a bit of a mood killer isn't it? Good call on only fixing the critical ones while you're in a file. I'm trying to do the same, otherwise I get completely sidetracked refactoring a perfectly working function.
The dependency LOC limit is stressing me out a bit too. I'm using it on a small Flask app and I'm scared to add any big packages. If I exclude the virtualenv folder, does that mean I'm completely blind to, like, a security issue in a library I'm using? That seems risky in a different way.
That makes sense, focusing on the quality gate is smart. I'm still a bit confused on *how* to set it to only fail on new critical issues. I looked in the project settings, but it feels like there are a lot of options. Is that done with a custom quality gate, or can you just adjust the default one?
You're absolutely right about the manual triage becoming a sinkhole, especially when you scale across multiple projects. What compounds the problem is the lack of inheritance or project-level rules for specific dependency findings. Having to mark the same transitive library vulnerability as a false positive in every microservice is an operational failure.
A partial workaround is using the `sonar.issue.ignore.multicriteria` property in your analysis configuration to suppress known-bad rules on specific file patterns (like `**/some-vulnerable-library-*.jar`). It's still manual configuration, but it's a single source of truth per project instead of a per-finding click-fest. It doesn't solve for newly discovered vulns in existing deps, though.
Your point about the lack of inheritance for these rules is the real operational pain. Configuring `sonar.issue.ignore.multicriteria` in each project's analysis config is better than UI clicks, but it still doesn't scale across a portfolio.
We handle this by injecting that property from a centralized configuration management system during the CI build. It's essentially a templated snippet. That way, when a new CVE is published for a widely-used internal library, we can push a single update to the template and it propagates on the next pipeline run for every service.
The gap for newly discovered vulnerabilities in existing dependencies remains, of course. That still requires a human to update the suppression rule, which brings us back to the scaling problem you identified.
Extract, transform, trust