#llmengineering

I left a comment on a Medium piece a few weeks ago about agentic graph engineering across 82.8...

Discover why LLM routers optimized for cost silently destroy user trust through semantic drift, miscalibration, and hidden fallbacks. Learn the monito

Learn effective RAG chunking techniques for tabular data including CSV, Excel, and Parquet files, with production-tested strategies and code examples.

I built a memory layer, watched it rot, watched it get poisoned, and rebuilt it as four...

I spent most of last year treating my CLAUDE.md file like it was source code. Every time an agent did...

Discover how secemp9/arxiv-complete compares to traditional pipelines. A practical migration guide for engineers looking to optimize AI workflows in 2026.

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I read two connected articles last week that ruined an assumption I didn’t know I was carrying...

Debugging OpenRouter in production means auditing providers, not models: the same weights score 90% vs 58% GPQA, and pinned fallbacks cascade-fail in 14 days.

How to build an AI agent knowledge base: the wiki-plus-recipes pattern that cut per-turn tokens 80% and turned days of expert review into minutes.

The OpenAI Python HTTPX2 migration breaks certifi TLS in containers and proxies. The full checklist, OS trust store fix, and legacy escape hatch.

Agentic AI books compared for 2026: Gulli's Agentic Design Patterns beats Lanham, Huyen and Biswas for most builders, and here is why.