So you want to use OpenRouter?Might seem simple on the face of it, but unfortunately it's pain all the way down.

Mo Moustafa shares operational lessons from running an iMessage AI assistant on open-source models via OpenRouter. Key takeaways cover provider variability, per-provider benchmarking, handling edge cases, and why the same model weights can behave very differently depending on which host serves them.

Blog post · LLMs · AI · APIs · Open Source

Engineering trade-offs when building a multi-model AI gateway

Practical engineering notes on multi-model AI gateways: narrow common interfaces, request normalization, streaming, error handling, routing, cost tracking, and the limits of portability.

Blog post · AI · Engineering · LLMs · Infrastructure

Can AI design circuit boards yet?

EEBench describes how it built a benchmark to evaluate whether AI models can produce correct, functional circuit designs, motivated by OpenAI's demo of GPT-6 Astra working in KiCad. Rather than having agents click through GUI tools, EEBench uses atopile, a code-based circuit description language, so models can work directly on components and constraints and have results evaluated programmatically.

Blog post · AI · Circuit Design · Hardware · Benchmarks

Porting my 1993 Amiga game to Godot, with an LLM reading the 68000 assembly

Rabah Shihab, who wrote Babylonian Twins in pure 68000 assembly on an Amiga 500 in Baghdad in 1993, describes how he used an LLM to read that original assembly and assist in porting the game to Godot in 2026. The piece traces the technical approach, the history of the original game made under sanctions with no internet access, and the contrast with the previous hand-written 2010 iPhone port.

Blog post · Game Development · LLMs · Amiga · Assembly

GenRec: Towards LLM-Native Recommendation at Netflix

Recommendations sit at the heart of the Netflix experience. Our current production models rely on thousands of hand‑crafted features over users, items, and interactions, along with specialized architectures for sequence modeling, feature interactions, and multi‑task objectives. This stack has evolved over many years to support diverse content types (movies, series, games, live, podcasts) and product surfaces, but its complexity makes it costly to onboard new use cases: adding a content type or surface can require significant feature engineering, architecture change,...

Blog post · AI · Machine Learning · LLMs · Engineering

Harness engineering: leveraging Codex in an agent-first world

OpenAI engineer Ryan Lopopolo on harness engineering: how Codex and agent-first workflows reshape the scaffolding around models, from prompts and tools to evaluation and production loops.

Blog post · AI Agents · Engineering · LLMs · AI