The Boringly Simple Loop Powering GenAI Apps
summary
Claim: most GenAI apps reduce to a boringly simple nested while loop that alternates a persistent turn loop (user turns accumulate history) with an inner trace loop (repeated tool calls until an assistant message). Evidence: concrete call flow for model prompt + history + tools, MCP tool signature/JSON schema usage, and a production library with ~36 million monthly downloads cited as context. Concrete failures (context overload, poisoning, useless data, inconsistency) and mitigations (lazy loading, RAG, skills, sub‑agents, memory) are demonstrated with working patterns.
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chapters (10)
- 0:00Introduction
- 2:14Core loop powering GenAI apps
- 8:11Designing app layer around loop
- 11:02Why loop underpins GenAI
- 16:58Single-agent to multi-agent workflows
- 17:20Context engineering for LLMs
- 19:25Structuring system prompts
- 24:01Four deadly sins of context engineering
- 28:56Lazy loading context
- 35:54Summary & Q&A
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