JS Kongress 2016
who it's for
javascript developers, frontend developers, full-stack engineers, device and IoT developers, web performance engineers, security engineers
topics
async iterators; transform streams; service worker navigation preload; Espruino on microcontrollers; Web Bluetooth device control; in-browser deep neural networks; React game development; React component libraries; D3.js dashboard visualizations; GraphQL backend prototyping; WebGL general-purpose computation; V8 performance profiling
| title | author | length |
|---|---|---|
| Future App Model: 7 features coming in 2017 (Opening Keynote) | Jake Archibald | 26m |
Seven concrete features land or prototype for 2017: async iterators let for await loops replace manual reader loops; transform streams provide pipeThrough text… | ||
| JavaScript for Microcontrollers with Espruino (ASL) | Gordon Williams | 26m |
Explains that a full JavaScript interpreter runs on microcontrollers so development and debugging happen on-device, not cross-compiled; shows Espruino running… | ||
| Machine Learning in the Browser with Deep Neural Networks | Oliver Zeigermann | 26m |
Shows a working JavaScript implementation of neural nets in the browser: a naive perceptron demo that learns a linear separator, experiments in the TensorFlow… | ||
| Let’s create a React powered game in 25 minutes | Johannes Stein | 26m |
Creates a playable prototype in ~25 minutes using React components to render two ships, keyboard handlers for movement including diagonal motion, sprite-sheet… | ||
| From Scratch to Production-Ready: Creating Dashboard Visualizations | Elisabeth Engel | 25m |
Guides a practical path from sketch to deployed dashboard: choose a tool by requirements (use D3.js when custom visuals are needed, pick out‑of‑box libs if… | ||
| Alice in Hardware Land - JavaScript models of interaction with the physical world | Sayanee Basu | 26m |
Three concrete models: JavaScript running on-board a single‑board computer — Tessel running OpenWRT, Raspberry Pi 3, BeagleBone — with Node.js controlling GPIO… | ||
| From Software to Hardware: How Do I Track My Cat with JavaScript | Tomomi Imura | 24m |
Raspberry Pi camera sits by the food bowl with a cheap PIR motion sensor on GPIO, Node.js spawns raspistill to capture 320x240 images and forks a separate… | ||
| 360 & VR Video | Raúl Jiménez | 23m |
Demo shows a working 360/VR video player built with A-Frame and Angular 2, wired to Videogular plugins from videogular2-showroom and net-mag-vr on GitHub. It… | ||
| Writing Secure JavaScript | Guy Podjarny | 24m |
Live exploits show NPM supply-chain failures and concrete bugs: the st package yields directory traversal via URL-encoding, marked allows HTML entity evasion… | ||
| Making games with JavaScript and Phaser.io | Martin Splitt | 26m |
Browser development lets gravity tunings and input fixes happen in seconds so iteration beats compilation and device copies every time. Phaser.io gives a ready… | ||
| RPD — Reactive Patch Development | Ulric Wilfred | 07m |
A tiny JavaScript framework called reactive patch development implements flow programming for web UIs: nodes with typed inputs/outputs, a process function that… | ||
| Building Component Libraries for Cross Team Use with React | Joel Carras | 07m |
A tool that uses webpack to scan component directories and dynamically generate documentation and live examples for React components so multiple teams can… | ||
| Creating a flexible GraphQL backend in 5 minutes | Robert Hostlowsky | 08m |
Demo claims a flexible GraphQL backend in five minutes using graph cool hosted backend, builds an Instagram clone called insta cat post type with description… | ||
| The rise of javascript robotics | Markus Leutwyler | 08m |
Argues JavaScript fits robotics because its asynchronous event model matches sensors and actuators; uses Arduino with Firmata over serial/USB or Bluetooth, and… | ||
| Arbitrary Computation on the GPU Using WebGL | Seth Samuel | 24m |
Claim: WebGL can run arbitrary parallel computation by encoding data as pixels, shipping it through the WebGL pipeline, and reading back with canvas… | ||
| Performance profiling for V8 | Franziska Hinkelmann | 25m |
V8 profiling shows exact failure modes: inline caches (ICs) go from monomorphic to polymorphic to megamorphic, causing extra map checks and deoptimizations… | ||
| Kill all Humans, Development Tool Automation Like a Pro | Jan Lehnardt | 29m |
Hoodie grows to 50 plus repos and 108 contributors and the team automates releases and dependency updates so new versions hit users fast. It shows a CI flow… | ||
| nothing matches | ||