#SoftwareSpecifications can now serve as a dynamic source of truth, as…
#SoftwareSpecifications can now serve as a dynamic source of truth, as LLM-based reasoning agents become better at interpreting human ambiguity.
The catch? #LLMs are stochastic and must be constrained.
Enter #ContextEngineering - a structured discipline focused on providing clear intent and missing instructions to AI models.
It relies heavily on context artifacts, including: ⇨ Skills ⇨ Rules ⇨ Scripts ⇨ Feedback loops ⇨ Evaluation metrics
🎧 Hear more insights on the #InfoQ #podcast with Baruch Sadogursky: https://bit.ly/49dArFj
📄 #transcript included
#SoftwareArchitecture #SpecDrivenDevelopment #Testing #AI #SoftwareEngineering
Context is the Key to the Agentic Architecture Revolution: A Conversation with Baruch Sadogursky
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 specifications can become the source of truth, while the code becomes a disposable intermediate language.
bit.ly
Comments (0)