The ADaSci Journal
Field notes for people who ship AI.
504 articles: deep dives on agents and LLM systems, career guides for AI engineers, and case studies from enterprise programmes.
02 · All articles
Everything, newest first.
The Rise of Agentic DevOps
Agentic DevOps redefines operations with AI agents autonomously planning, executing, and optimizing DevOps workflows.
Model Context Protocol: A Standard for Interoperable and Context-Aware AI
Model Context Protocol (MCP) enables an interoperable, scalable integration between LLMs, tools, and real-world data systems.
Visualizing LLM Performance through Monitoring Dashboards
Monitoring dashboards transform complex telemetry into clear insights on system health and performance.
A Practitioner’s Guide to Agent Communication Protocol (ACP)
Open-source ACP standard enables interoperable AI agents to communicate across diverse frameworks.
AI Consciousness and the Shift Toward Self-Modeling
We are moving from AI that knows about itself to AI that can think about its own thinking, a shift essential for safety, adaptability, and true intelligence.
Building Agentic AI Applications using OpenAI Agents SDK
OpenAI's Agents SDK enables efficient multi-agent workflows with context, tools, handoffs, and monitoring.
The Strategic Rise of the Forward Deployed Engineer
Discover why FDEs are becoming essential in the AI era, bridging technology and business to deliver high-impact enterprise results.
Pixie: A Context-Aware Multi-Agent Multi-Modal Large Language Models (LLM) Architecture for Digital Marketing
Author(s): Vivek Vishwas Vichare, Kirill Dubovikov, and Team
Vision-Powered RAG Agents for Organizational Software and Web Operations
Author(s): Varun Malhotra, Gaurav Adke, Ameya Divekar