Back to listCategory performance Workaround partial Stage debug Freshness persistent Scope single_lib Recurring Yes
Over-Fetching and Under-Fetching Data
7/10 HighDevelopers struggle to balance data retrieval efficiency. Requesting excessive data degrades performance, while requesting too little data causes multiple round trips to the server, impacting application speed and responsiveness.
Sources
Collection History
Query: “What are the most common pain points with HTTP for developers in 2025?”3/31/2026
Pain point REST APIs are common. They hide in latency spikes, payload bloat, brittle contracts, and opaque versioning... Slow serialization, inefficient queries, and over-fetching data are top offenders... Bloated JSON wastes bandwidth.
Query: “What are the most common pain points with GraphQL for developers in 2025?”3/30/2026
Developers may unintentionally request excessive data, resulting in performance degradation. On the contrary, requesting too little data can lead to multiple round trips to the server, further impacting application speed and responsiveness.
Created: 3/30/2026Updated: 3/31/2026