aislop vs SonarQube.
SonarQube is a broad static-analysis suite with deep multi-language rule sets and org-wide quality gates. aislop is a deterministic layer focused on the patterns AI coding agents leave behind. The core difference: SonarQube optimises for breadth across a mature SAST program; aislop optimises for agent-native workflow, zero-config start, and AI-slop-specific rules with sub-second local scans.
Side by side.
Both tools improve code quality. They optimise for different problems. 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.
Can hook into coding-agent edits 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 support |
| Agent-hook workflow Can hook into coding-agent edits 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 support |
| Auto-fix Applies safe fixes for mechanical findings automatically. | supported | partial support |
| 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 support | supported |
| Free open-source CLI MIT-licensed CLI you can run locally and in CI at no cost. | supported | partial support |
| 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 problem: the maintainability tells that often appear in agent-written code — 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-assisted code, the low-setup path matters.
aislop can hook into coding-agent workflows and turn unresolved findings into structured prompts the agent can act on. That surfaces defined issues earlier than PR review, while the change is still cheap to edit.
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.
Where aislop fits.
One command scans your repo and returns a 0–100 score with named findings. No server, signup, or model key required for the local CLI.
npx aislop scan