#Aiengineering

From Dev RSS Feed: Building Scrollbook: What I Learned Building and Scaling an AI Game Master Platform as a Solo Engineer

Enterprise AI systems are entering a phase where inference design matters as much as model capability itself.

A critical analysis of MRC's three counterintuitive design decisions, the networking mathematics that make them work, and what they mean for the rest of the AI infrastructure community.

I built the same AI coding feature twice. One attempt produced 116 commits and ended in a hard reset....

A practitioner's argument that meeting summarizers fail in the same way regressions fail when you skip the part where you ask what the data can support.

A short post argued this week that reliable agents need deterministic control flow, not more prompts....

Token utilization is the hidden cost of AI-assisted development. Here's how I used a knowledge graph as a cache layer to reduce what agents need to re-learn on every session.

Most AI projects fail somewhere between demo works and production ships. The gap is rarely the model....

The Problem Wasn’t Triage Most AI workflows in software engineering still keep the human...

Before you touch agents or RAG pipelines, you need to understand one pattern. Everything else builds...

From Towards Data Science: Proxy-Pointer RAG: Multimodal Answers Without Multimodal Embeddings

Blast-radius control tells you how much to break. Intent tells you what breaking it will teach. Only one of these has mature tooling.

NaNs don’t crash your training — they quietly destroy it. After losing hours to a silent failure in a ResNet training run, I built a lightweight detector that pinpoints the exact layer and batch where things break.…

We love a good ol’ social media roast, and Y Combinator CEO Garry Tan found himself on the business end of a doozie Wednesday. Tan, who in a past life worked as an engineering manager at Palantir and has more recently been a vocal proponent for AI…