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AI Observability and Monitoring: Tracking Model Performance in Production
Standard APM doesn't tell you when your LLM-powered features are silently degrading. The signals we track and the dashboards that catch the regressions standard tools miss.
Autonomous CI/CD Pipelines: Self-Healing and AI-Assisted Deployments
Evolve CI/CD toward autonomous pipelines that detect issues and roll back safely.
Multi-Agent AI Systems: Building Collaborative AI Applications
Multi-agent systems are mostly hype. The patterns we've seen actually deliver value, plus the ones we'd avoid until the tooling is more mature.
Prompt Engineering Best Practices: Maximizing LLM Performance
We have ~40 prompts in production. The patterns that improved quality, the ones that turned out to be folklore, and how we test prompts now.
AI Model Deployment Strategies: From Development to Production
How we deploy LLM-powered features. The deployment patterns are mostly normal; the validation is where the differences are.
Model Quantization Techniques: Reducing LLM Size and Cost
We tried four quantization techniques on Llama-3 and Mistral models. The quality vs cost trade-offs we found, plus what works for production inference.
Vector Databases for AI: Comparing Pinecone, Weaviate, and ChromaDB
We benchmarked four vector databases on the same workload. Each has a place. Here's how we'd pick today.
Building RAG Applications: A Complete Guide to Retrieval Augmented Generation
We've shipped four production RAG applications. Each one taught us something. The end-to-end pattern that works.
RAG in Production: Reliability, Latency, and Cost for LLM Apps
Run retrieval-augmented generation at scale. Chunking, caching, and observability.
Best Practices: AI Inference Cost Optimization
We cut LLM inference cost 47% over a quarter while improving p95 latency. Six changes, ranked by what each one actually delivered.
Best Practices: Infrastructure Documentation as Code
Wikis rot. We moved every operational doc into the repo it describes. Six months in, the docs are mostly correct because the only people who can update them are the ones who change the system.
Best Practices: Cloud Networking Segmentation Patterns
A flat VPC is fine until you need to prove who can reach what. Five segmentation patterns that work in AWS without requiring a service mesh.