aislop vs SonarQube.
SonarQube is the incumbent static-analysis suite: broad rule coverage across many languages, with deep security analysis. aislop is a deterministic gate built for one job SonarQube was not designed for — the patterns AI coding agents leave behind — and it hooks into the agent on every keystroke. Both are deterministic and LLM-free. The core difference: SonarQube is general-purpose breadth; aislop is AI-slop focus, zero-config start, agent handoff, and a free MIT CLI.
Side by side.
Both are deterministic static analysers. They differ in focus, setup, and where they sit in the workflow. The marks below are an honest read of each tool's primary, first-party workflow.
Same code in, same score and findings out — no run-to-run drift.
Static analysis with no model call at runtime.
Returns in well under a second on a typical change.
Hooks into coding agents on every edit, before the PR exists.
Rules tuned for the patterns AI agents leave behind.
Useful out of the box without standing up a server or wiring presets.
Applies safe fixes for mechanical findings automatically.
Blocks merges against an explicit threshold.
Large rule sets across many languages, including deep security analysis.
MIT-licensed CLI you can run locally and in CI at no cost.
Project and org-level rules with hierarchical standards.
| Capability | aislop deterministic gate | SonarQube static analysis suite |
|---|---|---|
| Deterministic, reproducible output Same code in, same score and findings out — no run-to-run drift. | supported | supported |
| Runs without an LLM Static analysis with no model call at runtime. | supported | supported |
| Sub-second latency Returns in well under a second on a typical change. | supported | partial |
| Reviews during the keystroke (agent hooks) Hooks into coding agents on every edit, before the PR exists. | supported | not supported |
| AI-slop-specific rules Rules tuned for the patterns AI agents leave behind. | supported | not supported |
| Zero-config start Useful out of the box without standing up a server or wiring presets. | supported | partial |
| Auto-fix Applies safe fixes for mechanical findings automatically. | supported | partial |
| PR gates Blocks merges against an explicit threshold. | supported | supported |
| Broad multi-language SAST breadth Large rule sets across many languages, including deep security analysis. | partial | supported |
| Free open-source CLI MIT-licensed CLI you can run locally and in CI at no cost. | supported | partial |
| Custom rules Project and org-level rules with hierarchical standards. | supported | supported |
SonarQube has broad, general-purpose rules across many languages. aislop concentrates on a specific, growing problem: the maintainability tells AI agents leave behind — narrative comments, swallowed errors, unsafe casts, generic naming. It is a focused layer, not a replacement for general SAST breadth.
aislop is a single CLI that is useful out of the box: one command, a 0–100 score, no server to stand up. SonarQube's depth comes with more setup. If you want a fast first signal on AI-generated code, the zero-config path matters.
aislop hooks into nine coding agents on every edit and turns unresolved findings into structured prompts the agent can act on. It catches slop at the keystroke, not only at the PR, which is where AI-written code is actually produced.
When SonarQube is the better choice.
If you need org-wide static analysis breadth across many languages — deep security rules, established quality-gate dashboards, and a mature ecosystem the whole organisation already standardises on — SonarQube is a strong, proven choice, and its coverage goes well beyond AI-specific patterns. aislop is not trying to be a general-purpose SAST suite. It is the AI-slop layer that sits alongside one, catching what general rule sets were never tuned to see.
Try aislop free.
One command scans your repo and returns a 0–100 score with every finding. No server, no signup, no token cost.
npx aislop scan