NNNipun Nairinnipunnair.hashnode.dev·17h ago · 4 min readStreaming Showdown: Kafka vs Redpanda vs NATS, benchmarked honestlyIf you've ever had to pick a message broker or streaming platform, you've run into the same wall I did: every vendor comparison is written by the vendor, "benchmarks" quietly compare a tuned cluster a00
NNNipun Nairinnipunnair.hashnode.dev·17h ago · 7 min readKafka vs Redpanda vs NATS on My M4 Mac: The Real Numbers Part 2 of 3 in Streaming Showdown. Previous: the benchmark bug. Next: when I'd actually reach for each. Part 1 is about how my first latency numbers were an artifact of a burst-then-drain test design,00
NNNipun Nairinnipunnair.hashnode.dev·17h ago · 6 min readThe Benchmark Bug That Made NATS Look 9x Faster Than KafkaPart 1 of 3 in Streaming Showdown. Next: the real numbers and my test rig. I've been running a small side-by-side benchmark of Kafka, Redpanda, and NATS JetStream — same event schema, same message siz00
L(Lucian (LKB)inlkforge.hashnode.dev·Jul 20 · 5 min readProving It's Actually Unbeatable: How I Benchmark a Game AI Before Publishing a NumberThis was originally published on the LK Forge blog, where the charts are interactive and you can play the AI it talks about. "Unbeatable" is a testable claim, not a marketing word. Before that word go10
MMMarco Mornatiinblog.mornati.net·May 31 · 14 min readYour AI Agent Deserves a Tool Harness, Not a Wild WestWe started the same way everyone does: give the LLM access to everything and hope it figures it out. Connect the GitHub MCP, the Jira MCP, the internal product API MCP, throw in a database schema or t00
OOmnithiuminomnithium.hashnode.dev·May 31 · 15 min readThe Enterprise AI Agent Performance Benchmark: How to Measure and Compare Agent EffectivenessWhy Current AI Agent Benchmarks Fail the Enterprise Why do most AI agent benchmarks fail to predict what actually happens in your production environment? Because they measure the wrong things, in the 00
NSNeeloppher Syedinneeloppher.hashnode.dev·May 15 · 8 min readASR Evaluation Framework: Benchmarking Speech Recognition Models Across Accuracy, Speed, and RobustnessPicking an ASR model for production is not straightforward. Whisper might be the most accurate for general English but too slow for real-time use. Wav2Vec2 might be fast enough for edge devices but st00
EEntreelinistiaq.hashnode.dev·May 8 · 6 min readBenchmarking pgvector IVFFlat vs HNSW indexes for production RAG applications - Blog PostBenchmarking pgvector IVFFlat vs HNSW indexes for production RAG applications I've spent the last three months stress-testing vector indexes in production environments, and the results challenge conventional wisdom about when to use each index type. ...00
EEntreelinistiaq.hashnode.dev·May 8 · 6 min readBenchmarking pgvector IVFFlat vs HNSW indexes for production RAG applications - Blog PostBenchmarking pgvector IVFFlat vs HNSW indexes for production RAG applications I've spent the last three months stress-testing vector indexes in production environments, and the results challenge conventional wisdom about when to use each index type. ...00
NVNolan Vossinnolan-voss.hashnode.dev·Apr 30 · 7 min readThe 1,000-Message Test: A Benchmark for AI Memory That Most Apps FailMost apps that claim "memory" don't have it. I spent 200 days testing AI companion apps. 15 platforms, every subscription paid out of pocket. What I found, consistently, is that "memory" in marketing 00