AI Engineering• 14 min
ChatGPT: Building Production Apps with GPT-4o
How we built a document processing pipeline handling 10K+ pages daily using ChatGPT's API — with structured outputs, function calling, and streaming patterns.
#chatgpt#openai
#llm
4 posts
AI Engineering• 15 min
Claude: Engineering with Long-Context LLMs
How we migrated from GPT-4 to Claude for code analysis — leveraging 200K token context windows, prompt caching, and multi-shot prompting to cut costs by 60%.
#claude#anthropic
AI Engineering• 13 min
Kimi: Long-Context LLMs for Document Intelligence
Handling 200K+ token documents with Kimi — the architecture for processing entire codebases, legal contracts, and research papers in a single context window.
#kimi#long-context
AI Engineering• 12 min
Building a Multi-Agent RAG Pipeline: Lessons from Production
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%.
#rag#llm