Tag:
Contributed
AI
Building a Holistic Ecosystem for Generative AI Apps Beyond Simple Prompts
Early in their careers, engineers realize they can’t learn everything and often choose specialties like backend, frontend, or DevOps. Despite this specialization, there’s foundational...
AI
Farewell Plugins: MCP Emerges as the Go-To Universal Interface for AI
In recent months, the Model Context Protocol (MCP) has emerged as a revolutionary solution in AI integration, transforming how developers connect AI models to...
AI
Optimize LLM Tool Scalability Using Remote MCP Architecture on Kubernetes
As developers transition AI systems to production, they face scaling challenges with large language model (LLM) tools that work poorly on local machines. Initial...
AI
Unlocking Enterprise AI: It’s Not About the Model, But the Context That Matters
The race to deploy AI agents for data work is intense, focusing on tasks like SQL writing and pipeline debugging. However, many AI implementations...
AI
Unveiling the Truth: The Deception of Load Tests in AI Agent Performance
The Pitfalls of Traditional Load Testing for AI Agents
Standard load testing techniques, developed for APIs, fail to account for the unique challenges presented by...
AI
Unseen Challenges of Integrating AI Agents into Legacy Systems
Integrating AI agents into enterprise environments presents unique challenges, primarily stemming from systems of record rather than the AI models themselves. These systems, crucial...
AI
Overcoming Legacy APIs: The Hidden Barrier to AI Agent Success
APIs, initially designed for human developers, now face the challenge of AI agents lacking the intuition to navigate poorly designed contracts. Effective implementation of...
AI Hacker News
Unlocking Insights: 3 Key Takeaways on AI-First Platform Engineering from PlatformCon
AI and Platform Engineering: The New Paradigm Shift
In today's tech landscape, platform engineering and AI are not just intertwined; they're foundational. A...