30-Minute Behavioral QA Before Deploy: 12 Bugs That Actually Break Vibe-Coded Apps
Session, Authorization, Duplicate Requests, LLM Resilience — What Static Analysis Can't Catch
30-Minute Behavioral QA Before Deploy: 12 Bugs That Actually Break Vibe-Coded Apps
Session, Authorization, Duplicate Requests, LLM Resilience — What Static Analysis Can't Catch
TL;DR: Static analysis catches "code smells." Behavioral QA catches "actual breakage."
Prerequisites
This is NOT about hacking. This is a behavioral QA routine to reduce risk before deploying your own app in staging.
Related Posts
AI Engineering
LLM Inference Optimization Part 4 — Production Serving
Production deployment with vLLM and TGI. Continuous Batching, Speculative Decoding, memory budget design, and throughput benchmarks.
AI Engineering
LLM Inference Optimization Part 3 — Sparse Attention in Practice
Sliding Window, Sink Attention, DeepSeek DSA, IndexCache, and Nvidia DMS. From dynamic token selection to Needle-in-a-Haystack evaluation.
AI Engineering
LLM Inference Optimization Part 2 — KV Cache Optimization
KV Cache quantization (int8/int4), PCA compression (KVTC), and PagedAttention (vLLM). Hands-on memory reduction code and scenario-based configuration guide.