Title: P2: I was preparing for interview for Agentic AI Engineer. [2025-05-15 Thu]

interpretable outputs (e.g., natural language
explanations) to facilitate human-in-the-loop oversight.

standards:
- FIPA Standards/specifications (e.g., FIPA-ACL)
- IEEE 1471 (ISO/IEC 42010)

I thing, first step of planning multi-agent system is to
measure what intellectual capabilities we can accure
and manage. #dailyreport #multiagent #agents #agentoriented #agentengineering

Title: P1: I was preparing for interview for Agentic AI Engineer. [2025-05-15 Thu]

- Event-Driven Communication: (e.g., Apache Kafka, RabbitMQ)
- Standardized Communication Protocols: like FIPA
(Foundation for Intelligent Physical Agents) for agent
communication, ensuring interoperability and structured message
passing (e.g., ACL - Agent Communication Language).
- Explainability in Communication: Ensure agents provide #dailyreport #multiagent #agents #agentoriented #agentengineering

Title: P0: I was preparing for interview for Agentic AI Engineer. [2025-05-15 Thu]

Main steps in Agent-Oriented Software Engineering:
1) analyzing requirements - what to do and how fast
2) defining system scope and limits - where to run and
how much money we have
3) identifying agent roles
4) selecting architectures
5) choosing tools

best practices:
- microservices REST or gRPC #dailyreport #multiagent #agents #agentoriented #agentengineering

I like the word harness 🤗
The parallels between leading organisations and building agents are a bit … uncanny

https://www.sarincasm.com/blog/i-like-harness

#AgentEngineering #DevEx #Leadership

Everyone’s excited about AI agents. But a harder question remains: what would need to be true for them to actually stay aligned with the human job-to-be-done over time? Not just at the prompt, but across decisions, context, and collaboration. Curious how others think about this.

#AgentArchitecture #AgentEngineering #AgentMemory #RuntimeEvaluation #IntentModeling #LLMSystems #AgenticAI #AI #ArtificialIntelligence #JTBD

https://www.designative.info/2026/03/08/preventing-agent-drift-designing-ai-systems-that-stay-aligned-with-human-intent/

Agent Engineering is the future of AI.
It's an iterative blend of product thinking, engineering, and data science that transforms unpredictable LLMs into reliable, production-ready agents.

Ship fast,
observe deeply,
refine constantly.

#AgentEngineering #AI #LLM