Senior developers now own two roles: traditional engineering plus AI systems architecture. This split reshapes compensation, hiring, and what 'senior' actually means.
A low-latency multi-SLM architecture uses a lightweight router to direct requests to the most suitable language model, ensuring fast responses with minimal overhead.
Build fast, deterministic text embeddings in C# using feature hashing, trigram features, and L2 normalization — no APIs, GPUs, or external models required.
By outsourcing more of our thinking to probabilistic systems, we risk weakening the very human habit black swans demand: the habit of making the right questions.
As AI generates more code and tests, requirements become the control layer that keeps delivery consistent, traceable, and aligned with the system context.
The open issue count dropped below 350 after a push through the oldest reports, and the same week brought native Mac builds, WebSockets in the core, gRPC and GraphQL inte
AI infrastructure isn’t about GPUs. Most issues come from storage, networking, data pipelines. If GPU utilization is low, check the infrastructure first, not the model.