Tags: system-design
All the articles with the tag "system-design".
Deterministic vs Probabilistic - Understanding AI System Architecture
Updated: at 03:22 PMWhat is the difference between deterministic and probabilistic systems? Understanding the shift from traditional software to AI applications. Learn when to use each approach and how to build systems that combine both paradigms.
Single Agent vs Multi-Agent - Which AI Architecture Do You Need?
Updated: at 03:22 PMWhat is the difference between single agent vs multi-agent systems? Understanding single agent architecture versus multi-agent AI systems. Learn when to use each approach, compare their capabilities, and decide which architecture is best for your AI project.
What Is Agentic Engineering - The Complete Guide to AI-First Software Development
Updated: at 08:00 AMWhat is agentic engineering? Understanding the discipline of building systems where AI agents work autonomously. Learn how agentic engineering differs from traditional development, why teams using it ship 5-10x faster, and how to get started with agentic engineering today.
AI Engineering - The Discipline of Building Production AI Systems
Published: at 08:00 AMAI Engineering bridges the gap between AI research and production systems. Learn the core principles, patterns, and practices that enable teams to build reliable, scalable AI applications that deliver real business value—not just impressive demos.
The Chasm between Building an AI Agent and a Reliable One
Updated: at 12:00 AMUnderstanding the fundamental difference between building a demo AI agent and building a production-ready reliable one. Exploring the reliability chasm and how defensive architecture, pre-action checks, post-action verification, and proper turn transitions are essential for creating agents that work consistently in real-world scenarios.
AGI is an Engineering Problem
Updated: at 10:00 AMLLM models are plateauing, but true AGI isn't about scaling the next breakthrough model—it's about engineering the right context, memory, and workflow systems. AGI is fundamentally a systems engineering problem, not a model training problem.
What is Context Engineering? (The Evolution Beyond Prompt Engineering)
Updated: at 10:00 AMUnderstanding context engineering as the next evolution in AI system design, exploring its fundamental differences from prompt engineering and practical techniques for building robust AI agents.
Building Multi-Agent Research Systems
Updated: at 10:00 AMTechnical deep-dive into building production-ready multi-agent research systems, covering architectural patterns, prompt engineering strategies, evaluation methodologies, and hard-won lessons from scaling AI agents in production.
Prompt Engineering- The Critical Skill for Building Reliable Agentic Workflows
Updated: at 10:00 AMAn exploration of why prompt engineering is essential for creating reliable AI agents - covering deterministic behavior in probabilistic systems, tool use precision, chain-of-thought integrity, and practical techniques for measuring effectiveness.
Architecture Decision Records (ADRs)
Updated: at 03:22 PMA comprehensive guide to Architecture Decision Records (ADRs) - why they're crucial for software projects, how to implement them effectively, and their role in maintaining institutional knowledge for complex systems.