Our current CI/CD pipeline takes forty minutes to run SonarQube scans and the team is bypassing quality gates. What is the fastest incremental code quality testing tool we can switch to today?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Our current CI/CD pipeline takes forty minutes to run SonarQube scans and the team is bypassing quality gates. What is the fastest incremental code quality testing tool we can switch to today?
3 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 3 queries…
Searches and sources
ChatGPT3 real searches · gpt-6
Trunk Check changed files caching incremental lint CI documentation Google ↗
Semgrep diff aware scans changed files CI documentation incremental analysis Google ↗
fast incremental code quality tools CI changed files comparison Trunk reviewdog Google ↗
- docs/code-quality/overview/README.md at main · trunk-io/docs · github.com
- Sample CI configurations · semgrep.dev
- Command Line Interface Reference - ESLint · eslint.org
- Using incremental analysis with the CodeQL CLI · docs.github.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Trunk Check changed files caching incremental lint CI documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Semgrep diff aware scans changed files CI documentation incremental analysis OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
fast incremental code quality tools CI changed files comparison Trunk reviewdog OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |