AI Briefing#agentic-systems
The latest AI and developer news about #agentic-systems, with the original source and a short summary.
The latest AI and developer news about #agentic-systems, with the original source and a short summary.
Drawing on three years of operating LangGraph, LangChain shared its design principles for modeling agents as graphs.
CANTANTE improves multi-agent prompt optimization through credit assignment.
Signals is a lightweight technique for selecting meaningful agent traces without LLM judges.
LaCy improves factuality by distinguishing what SLMs should learn from what they should delegate.
Continual learning for AI agents happens across three layers: model, harness, and context.
SSMs equipped with tool-use generalize beyond their length limits to problems of arbitrary length.
Netomi combines GPT-4.1 and GPT-5.2 to present a reliable agentic system scaling strategy suited for enterprise environments.
Building reliable agentic systems requires understanding the difference between workflows and agents, and controlling the appropriate context.