Inference Engineering for Agents: Spend Compute where it Helps
To optimize AI agents, developers should practice "inference engineering" by focusing on the cost per completed task rather than simple per-token pricing. The article recommends al…
To optimize AI agents, developers should practice "inference engineering" by focusing on the cost per completed task rather than simple per-token pricing. The article recommends al…
This article provides a step-by-step guide to building an autonomous agent loop, using a website-building project as a practical case study. It outlines essential components for su…
This article explains the evolution of AI engineering practices, moving from prompt engineering to more advanced concepts like graph engineering. It argues that these new terms sho…
This article examines Hugging Face’s open-source project, Tau, which demonstrates that a coding agent's "harness" is more critical to the final product than the underlying model it…
Rather than being obsolete, RAG has evolved from simple, single-query vector searches into more sophisticated "knowledge runtime systems" within enterprises. While larger context w…
This article explores the concept of "loop engineering," a practice where developers design systems that allow AI agents to run, iterate, and self-correct autonomously rather than …
The AI Builder Summit is a free online conference featuring expert-led sessions on topics such as agentic workflows, voice agents, and building AI-native products. While recordings…
This article examines the gap between viral claims that AI agents can run entire businesses and the practical reality of their current capabilities. The author provides guidance on…
The article argues that while vendor lock-in can offer benefits like speed and reduced maintenance, developers must avoid being "trapped" by ensuring they maintain ownership of cri…
The article introduces "The ROI Gate," a framework designed to help developers accurately cost AI agents by moving beyond simple prioritization toward true financial impact analysi…
As AI tools like Cursor and Claude Code increasingly automate manual coding, the role of a developer is shifting from writing lines of code to overseeing architecture, logic, and s…
Most AI product failures stem from flaws in the "harness"—the surrounding software that manages context, tools, and verification—rather than limitations in the model's intelligence…