标签：#presentation

Slides have an odd status in engineering: we make them constantly, but we treat them as disposable. They rarely live in a repo. They rarely go through review. The diagram you spent twenty minutes aligning in Keynote is gone the moment the talk ends. Dinghy's Slide Builder treats a slide like any other artifact: a folder of source files that compiles to a single deliverable. What it is A presentation builder layered on top of RevealJS , wired into the same Dinghy CLI you already have: YAML DSL: recognized keys map to semantic blocks, and any other key becomes the matching HTML element, so you describe slides in a structured, indented form. Markdown and HTML, auto-loaded: drop a .md or .html file in the slide folder and it becomes a section. Self-contained HTML output: assets inlined, a single file you can share or host anywhere. Live reload dev server: run dinghy slide start and edit-to-reload feedback. Prezi-style zoom and pan: exclusive to Dinghy, covered below. A YAML slide The core idea is that a slide is a tree of HTML elements, and YAML is a tidy way to describe nested structure: sections : - badge : Show Case title : Slide Builder subtitle : author RevealJS presentations in YAML ul : li : - YAML DSL maps keys to HTML elements - Self-contained HTML output - Live reload development server Some keys are recognized aliases: badge becomes <div class="badge"> , title becomes <h2 class="title"> , subtitle becomes <p class="subtitle"> . Any other key, such as p , h3 , ul , or li , becomes that HTML element directly. Multi-file slides are just multiple YAML files in the same folder, picked up in filename order. A Markdown slide If you want to add a section quickly, plain Markdown works: ## Slide Builder - YAML DSL maps keys to HTML elements - Self-contained HTML output - Live reload dev server Markdown files become slides automatically. You can mix YAML, Markdown, and raw HTML in the same slide and use whichever fits each section. The single-file output Run dinghy slid

Sean Klein discusses why "human error" is a dangerous myth in complex systems. Sharing the inside story of Azure’s 2023 global WAN outage, he explains how modern incident analysis looks past the "Five Whys" to uncover systemic issues. Learn how engineering leaders can move away from blame, improve Standard Operating Procedures, and design resilient systems that actively protect their engineers. By Sean Klein

OpenAI’s Bonnie Xu discusses Kepler, an internal AI data analyst agent built to query 600+ petabytes of data. She explains how they overcome context window limits using MCP, automated code crawling, and RAG. Xu also shares how their team leverages scoped semantic memory for self-learning and utilizes AST-based LLM grading to build a robust, regression-free evaluation pipeline. By Bonnie Xu