A technical blog about AI engineering, system design, DevOps, and open source — written by the engineers building Nivant Labs.
Our CI pipeline was the bottleneck every developer complained about. Here's how we broke it down, parallelized it, and what we learned about caching strategies along the way.
How we built a production RAG system that handles 10K+ queries daily — the architecture, the failures, and the hard-won optimizations that cut latency by 60%.
LLMs, agents, RAG pipelines, fine-tuning, and production AI systems
🏗️Scalability, distributed systems, microservices, and architecture patterns
⚙️CI/CD, Kubernetes, cloud-native, and platform engineering
🎨React, TypeScript, developer tools, and performance
🌐Tool releases, community contributions, and case studies
Our CI pipeline was the bottleneck every developer complained about. Here's how we broke it down, parallelized it, and what we learned about caching strategies along the way.
We migrated from a modular monolith to event-driven microservices. Here's the honest story — what went well, what went wrong, and the 3 questions you should ask before starting your own migration.
How we built a production RAG system that handles 10K+ queries daily — the architecture, the failures, and the hard-won optimizations that cut latency by 60%.