How do the portfolio project reviews at General Assembly ensure adherence to clean code and SOLID principles compared to peer code reviews in open-source communities?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do the portfolio project reviews at General Assembly ensure adherence to clean code and SOLID principles compared to peer code reviews in open-source communities?
2 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.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
General Assembly software engineering portfolio project review rubric code quality clean code SOLID principles Google ↗
open source code review best practices pull requests maintainability automated tests contribution guidelines Google ↗
- Review Pull Requests · flink.apache.org
- Code Review Guide · hop.apache.org
- Managing and standardizing pull requests · docs.github.com
- Contributing to open source · docs.github.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
General Assembly software engineering portfolio project review rubric code quality clean code SOLID principles OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
open source code review best practices pull requests maintainability automated tests contribution guidelines OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |