Podcast: Context is the Key to the Agentic Architecture Revolution: A Conversation with Baruch Sadogursky
Software specs are becoming the source of truth. Code is now the disposable part.
Why it matters
As agentic AI systems mature, architectural paradigms are shifting from code-centric to context-centric design—a fundamental rethink of how engineering teams should structure systems for LLM reasoning and control.
The key facts
8 to knowLLMs functioning as stochastic reasoning machines capable of interpreting human ambiguity
Context artifacts as control mechanism for LLM reasoning
Software specifications replacing code as source of truth in agentic architectures
Code repositioned as disposable intermediate language rather than primary artifact
LLMs function as stochastic reasoning machines capable of interpreting human ambiguity
Context artifacts can control LLM reasoning to stabilize outputs
Software specifications replacing code as the primary artifact
Code transitioning from primary asset to disposable intermediate language
Go to the source
InfoQ AI/MLinfoq.com
Publisher excerpt: Michael Stiefel spoke to Baruch Sadogursky about software architecture in the age of agentic AI. LLM can function, albeit stochastically, as reasoning machines capable of interpreting human ambiguity. With the appropriate rigorous context artifacts to control the LLM’s reasoning, software…