Designing for the Agent Era: A Paradigm Shift
12 min read
Each paradigm shift in software has been architectural. AI agents are the next — but only if we design for them intentionally, not as browser overlays.
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Engineering the future: AI, systems, and business insights
The Coming Divide: Cloud AI vs. On-Device Intelligence
6 min read
Explore the emerging divide between cloud and on-device AI, where Google leads large-scale intelligence and Apple builds a private, local AI revolution.
From Models to Systems: Vertical Agentic AI
9 min read
AI’s future lies in vertical agentic systems, multimodel pipelines that blend context, automation, and human expertise to amplify real business impact.
Signals: The Language of Search and Intelligence
6 min read
AI should be a choreography of signals — models that interpret data, systems that share context, and architectures that inspire meaningful action.
The Hard Truth About AI and Production Code
3 min read
AI coding tools can generate functions in seconds, but production software needs consistency, maintainability, and human judgment that LLMs can’t provide.
The Evolution and History of AI Agents
9 min read
Uncover how AI agents work. This deep dive covers their shift from rule-based systems to reinforcement learning and the future of multi-agent collaboration.
Why Generative AI is Not the Silver Bullet for Tabular Data
7 min read
Generative AI and LLMs struggle with tabular data. Discover why traditional models excel and learn the best solutions for finance, healthcare, and forecasting.