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Modern AI agents are brilliant but amnesiac. This article explores the three-layer memory problem in agentic AI systems — ephemeral state, session memory, and persistent memory — and explains why every agent framework today is building on a fundamentally inadequate foundation.
Context engineering is the discipline of structuring, curating, and optimizing the information that flows into a large language model during inference. This article explores why it has become the most consequential skill in AI engineering.
The AI conversation has shifted from chatbots to autonomous agents. This article explores what agentic AI really means, the frameworks enabling it, where it's already delivering value, and the hard problems the industry still needs to solve.
The gap between a demo and a deployed AI agent is where most projects go to die. This article walks through the architecture patterns that actually hold up in production: orchestration loops, memory management, tool abstraction layers, multi-agent coordination, and the observability infrastructure you need to debug failures.
Why Your AI Agent Forgets Everything: The Hidden Crisis of Context Windows Three months into production, your AI agent starts failing silently. It misses obvious steps in the workflow. It repeats acti...
The Context Engineering Revolution: How AI Agents Are Rewriting Software Development In 2023, every developer learned what a "context window" was. In 2024, they started fighting over it. In 2025, the ...
Vibe coding is reshaping software development. This article explores what it actually means, where it sits on the AI-assisted development spectrum, what skills are gained and lost, and why the best practitioners are those who think at the highest level of abstraction while maintaining the depth to intervene when it matters.
Context engineering is emerging as the foundational discipline for building reliable AI agents. While the industry obsesses over model capabilities, the practitioners who actually ship working AI systems are obsessing over something far more mundane: how to manage the information environment AI agents operate in.
Context engineering is the discipline of designing, maintaining, and optimizing the informational environment that an LLM operates within. Here's why it matters more than prompt engineering.