AI Engineering

Vibe Coding with AI: Best Practices for Human-AI Collaboration in Software Development

— collaborating with an agentic AI-powered IDE to construct software — is rapidly becoming a mainstream development approach. Tasks that after required weeks of engineering effort can now often be accomplished in hours...

Self-Hosting Your First LLM

finally work. They call tools, reason through workflows, and really complete tasks. Then the first real API bill arrives. For a lot of teams, that’s the moment the query appears: “Should we just run this ourselves?” The excellent...

Machine Learning at Scale: Managing More Than One Model in Production

yourself how real machine learning products actually run in major tech corporations or departments? If yes, this text is for you 🙂 Before discussing scalability, please don’t hesitate to read my first article on...

Zero-Waste Agentic RAG: Designing Caching Architectures to Minimize Latency and LLM Costs at Scale

-Augmented Generation (RAG) has moved out of the experimental phase and firmly into enterprise production. We aren't any longer just constructing chatbots to check LLM capabilities; we're constructing complex, agentic systems that interface directly...

Breaking the Host Memory Bottleneck: How Peer Direct Transformed Gaudi’s Cloud Performance

introduced Gaudi accelerators to Amazon’s EC2 DL1 instances, we faced a challenge that threatened your complete deployment. The performance numbers were not only disappointing; they were disastrous. Models that required training effectively were...

Architecting GPUaaS for Enterprise AI On-Prem

AI is evolving rapidly, and software engineers not have to memorize syntax. Nonetheless, pondering like an architect and understanding the technology that permits systems to run securely at scale is becoming increasingly precious. I also...

Donkeys, Not Unicorns

There has never been a greater time to be an AI engineer. In the event you mix technical chops with a way of product design and a keen eye for automation, you would possibly...

Plan–Code–Execute: Designing Agents That Create Their Own Tools

today deal with how multiple agents coordinate while choosing tools from a predefined toolbox. While effective, this design quietly assumes that the tools required for a task are known prematurely. Let’s challenge that assumption...

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