7h ago · 3 min read · We Rebuilt Our RAG Pipeline 4 Times — Here's the Architecture That Finally Served 50K Daily Queries Under 800ms We rebuilt our RAG pipeline 4 times before it actually worked in production. Here's what broke each time — and the architecture that final...
Join discussion7h ago · 5 min read · We Rebuilt Our RAG Pipeline 4 Times — Here's the Architecture That Finally Served 50K Daily Queries Under 800ms Our first RAG system hit 91% user satisfaction in demos and 34% in production. This is the brutal post-mortem of 4 rebuilds, 3 fired vendo...
Join discussion
1d ago · 7 min read · When deployments destroy production: Engineering reliability in high-stakes environments The clock reads 2:00 PM on Black Friday. Your e-commerce platform is scaling toward peak traffic when the development team pushes what appears to be a straightfo...
Join discussion
1d ago · 2 min read · TypeScript works well for standard CRUD SaaS. AI systems introduce different problems. AI responses can vary. Prompt variables must be validated. Async pipelines require clear state models. These patt
Join discussion3d ago · 18 min read · Last year I rebuilt a client's entire content pipeline three times. The first version was a single LangGraph graph with 14 nodes, and every time we needed to add a new step, I spent two days re-threading state through the whole thing. The second vers...
Join discussion
3d ago · 6 min read · Introduction In the first three parts of this series, we built a full-stack IBC Bridge Monitor from the ground up: Part 1: local multi-chain setup with wasmd and Hermes Part 2: Rust backend indexer
Join discussion
3d ago · 19 min read · The fourth time I had to debug a LangChain agent that silently returned malformed JSON and crashed a client's order processing pipeline, I decided I was done patching type errors at midnight. That was eight months ago. Since then I've built 14 produc...
Join discussion
3d ago · 19 min read · The fourth time I had to debug a LangChain agent that silently returned malformed JSON and crashed a client's order processing pipeline, I decided I was done patching type errors at midnight. That was eight months ago. Since then I've built 14 produc...
Join discussion4d ago · 17 min read · The third time a client's AI pipeline crashed mid-workflow and wiped out 45 minutes of LLM calls, I stopped using stateless chains. That was 18 months ago. Since then I've built 23 production systems on LangGraph, and the difference is not subtle. La...
Join discussion
5d ago · 5 min read · Running Apache Iceberg in production with streaming workloads exposes failure modes that batch-only deployments never encounter: small file accumulation at high ingest rates, catalog contention during concurrent writes, and snapshot metadata bloat af...
Join discussion
