How do we optimize our Webpack dev server performance and memory usage for a legacy monolithic frontend app that takes forever to start up locally?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do we optimize our Webpack dev server performance and memory usage for a legacy monolithic frontend app that takes forever to start up locally?
1 real search · 1 real-search pass
Webpack 5 documentation filesystem cache dev server watchOptions babel-loader cacheDirectory source maps development performanceGoogle ↗
OBSERVEDComparison
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 (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
Webpack 5 documentation filesystem cache dev server watchOptions babel-loader cacheDirectory source maps development performance Google ↗
- Build Performance · webpack.js.org
- webpack · webpack.js.org
- DevServer · webpack.js.org
- Cache · webpack.js.org