#softwarespecifications — Public Fediverse posts

#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

#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

#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

#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

#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