Typometer is a tool to measure and analyze the visual latency of text editors.
Editor latency is the delay between an input event and a corresponding screen update — in particular, the delay between keystroke and character appearance. While there are many kinds of delays (caret movement, line editing, etc.), typing latency is a major predictor of editor usability.
Check the article typing with pleasure to learn more about editor latency and its effects on typing performance.
entity resolution is the killer feature. context engineering is the problem with this benchmark attempt. The agent plan seemed to one shot, and the fact that the LLMs could write their own tools without validation or specific multi shot examples is worrisome. To me way to much left to the whims of the llms - with out proper context.
Not a dev, but I know what these are. Maybe the post was meant for people that know. Bun / deno new nodejs. Hono new koa new express. Vite new webpack. React still React but most popular.
Knowledge / property graphs provide truths that can guide the retrieval. LLMs lack a truth function, ie causality. The KPG provides this as sorta a lace across the llm vector space. A KPG can either be used as a filter or a router of sorts. I expect we’ll see kpgs colocated with vector data of the llm and a tuned router layer uses it to guide retrieval and course correct the output. Kind of like MoE.
Typical early hooks: • fetch wrapper • XMLHttpRequest.prototype.open/send wrapper • WebSocket constructor wrapper • history.pushState/replaceState wrapper • EventTarget.addEventListener wrapper (optional, heavy) • MutationObserver for DOM diffs • Error + unhandledrejection capture