I am Cookie Engineer (also known as 🍪🔧), and I'd like to welcome you to my website.
This website mostly contains a curated list of my work and stuff I've built over
the years but there may be those projects missing that were classified and I'm not
allowed to publicly speak about.
My background has always been Web Technologies, Open Source, Artificial Intelligence
(not only Machine Learning), and the creation of automated Self-Adapting Systems of
all kinds. I solve problems by teaching machines how to solve it and I'm good at
creating the Software Architecture behind it to make it possible.
I also create a lot of personal tools to automate my workflows. A huge part of my
written software is Open Source, except the ones that are under NDA or were classified
by my customers and contract partners (obviously). But I do believe in Open Source,
just as I believe in the Robot Overlords.
Wanna pwn my machines? Then do not take a glance at my
dotfiles and my
dotvim repositories.
It's strictly forbidden.
There's also a little hacking challenge hidden in this website. It's Open Source on
GitHub and
GitLab, too,
in case you want to know how things work.
Enjoy your stay.
Cyber Defense/Security Work
My personal offered services include being an AI Engineer, Cyber/Web Analyst or
IT-Security Consultant due to my specialization in Cyber Defense, Cyber Intelligence
and the autonomous code generation parts behind Network Simulation environments.
Whenever I have enough time to spare I'm trying to automate the Web of Knowledge with
my Project called the Tholian Network,
which aims to automate the Semantic Web whilst using a unique distributed peer-to-peer
Network Architecture combined with (co-)evolutionary adaptive AI methodologies and
compositional game theory ideas to learn and adapt from user interactions with the Web.
Nevertheless my Areas of Work seem a bit random, as I'm fascinated by unusual problems
that need automated Non-Human solutions. If you have interesting problems that need
more efficient solving, don't hesitate to contact me.
Skills.
Network Security
I have a huge depth in the knowledge of network protocols, their implementations
and specification quirks that could lead to potential attack vectors.
This includes strong knowledge in network protocols such as
TCP,
UDP,
MQTT,
ICMP,
SNMP,
SOCKS,
TLS
and all protocols related to the Web such as
HTTP/S,
SPDY,
QUIC,
DNS,
DNS over HTTPS, DNS over TLS, DNS-based Service Discovery,
WebRTC
and WS13.
Most of my open source software is peer-to-peer, meaning they use NAT
traversal and NAT breaking techniques to find other local and global
peers. Those techniques are similar to how malware often works, as most of them use DNS
Exfiltration, Multicast and Relaying, and even PWNAT- or
ICMP-spoofed attacks to contact their CNCs
once they successfully infiltrated a device.
Network Analysis
My previous employments included building up Blueteams in the Cyber Defense space,
wherein AI-based IDSes were being
built, trained, and used in order to gain a strategical advantage on the Blueteam
side.
My experience helped me to create a deep understanding of how to build trainable
automated network security systems that can learn from traffic fingerprinting and
the behaviour of networked nodes and their communications.
My work with co-evolutionary systems like backpropagated
ES/HyperNEAT
gives me the knowledge to create virtual simulations and pentesting scenarios that
can be easily replicated and adapt to new infiltration targets.
Additionally those virtual environments usually are multi-agent simulations
of vast network topologies and reuse existing PCAP
files or streams from previous attack scenarios to train the
CPPNs more efficiently.
Network Forensics
My past employers include varying Cyber Defense contractors for both the military
and other big organizations. In my time there I've learned a lot about the God's Eye
view of Internet Service Providers, and how they achieve large-scale observations
and correlations of encrypted network connections.
In the past I also led the development of a large-scale co-evolutionary network forensics
framework that analyzed, classified and verified correlations of networked data streams
across the Clearnet, and in some cases including the Darknet (aka TOR
or I2P).
Web Intelligence
First getting online at the age of 10, I spent most of my time learning things online.
I see the Web as the knowledge of humanity at your fingertips.
Over the past years many of my projects were indirectly trying to automate the
OSINT methodologies that still need human
interaction to acquire information online, such as the Research
and Stealth Browser projects.
My unique perspective with the usage of co-evolutionary AI systems allows me to build
self-automating and self-adapting systems that help to exceed the frontiers of what
you can do with the Knowledge on the Web.
Prototypes.
All your ideas are belong to us or something like that. These are the current challenges that I'm working on whenever I have time to spare.
Stealth is an automateable Web Browser that focusses on increased Privacy, increased Automation,
adaptive Semantic Understanding and efficient Bandwidth Usage, no matter the cost.
Stealth's Design Goals try to embrace the Automation of User Interaction wherever possible,
so that users can focus on the important tasks while their Web Browser helps them to automate
repetitive tasks that would consume time unnecessarily. As everything is on the Web, everything
can be automated.
Its unique concept allows to automate and share Beacones (Site Adapters) and Echoes (Site Workflows)
with other local Peers in the same Network - or global Peers connected to Radar, so that once
a User automated a workflow for a specific Website others can simply reuse it, modify it or share
it with their trusted Peers.
Radar is a peer-to-peer Knowledge Tracker that allows to learn from a Network of connected
Stealth Browsers, while helping its Users to discover Knowledge, related Articles,
the History of Changes, Author Biases or more advanced Automation Features.
It integrates nicely with Beacons (Site Adapters) to automate the extraction of Knowledge,
and Echoes (Site Workflows) to automate User Interactions with websites in a programmable,
repeatable and scheduled manner.
Recon is a Network Forensics App that acts both passive and active inside a Network,
and tries to analyze observed Network Traffic incrementally to gain Intelligence
about malicious actors or potentially vulnerable Targets.
Its Classifiers use AI techniques to have the capability to identify Network Traffic
and to generate crafted payloads to scan remote services for vulnerable behaviours;
while trying to show a list of related CVEs that the vulnerable Target should be
checked against.
The design as a Web App for Linux is intended, so that it is deployable on Open Source
smartphones; such as the Pine64 Pinephone or the Purism Librem 5. Additionally the
background service allows to remotely deploy multiple instances, and gather intelligence
about a Network's traffic behaviour remotely through SSH or other tunneling means.
Search. Recipe Creator.
This Search Recipe Creator allows to modify what kind of projects are visible below.
More selected ingredients means more projects are visible. Also, the cake is a lie.
Stealth is a different kind of Web Browser that aims to achieve increased
User Privacy, Understanding and Automation of the Web. Its unique Cache
architecture allows to reuse downloaded content offline and peer-to-peer,
whilst sharing it with trusted Peers to increase bandwidth efficiency.
Stealth empowers its Users, not Website Developers that could abuse Web
Technologies to compromise the Freedom or Rights of Web Browser Users.
By default, it does not trust any Website or URL. Everything is whitelisted
by either Site Modes or Site Filters and Site Optimizers
whereas the latter two allow auditing the design, content and media of
regularly visited websites in an automated manner.
Stealth is not only a Web Browser, but also a Web Scraper and Web Proxy
that is scriptable and automateable in node.js environments and it supports
supports AI integrations for
understanding contexts and relations of content on Websites.
The GNOME Shell Extension Outta Space is a minimalistic extension
that leverages screen space in a simplified manner. It is GTK3
and GTK4 compatible and follows
the CSD guidelines of the GNOME
Desktop Environment project and does not patch or modify any user-centered
interactions.
By default, it will optimize the screen space by hiding the Top Bar and
the Window Title bars if they contain no useful elements that would
provide app menu or gtk menu interactions.
The Outta Space Extension is also made for extreme multi-head display
setups that consist of interconnected machines and has support for
X11 and Wayland on touch screens. It is already GTK4
compatible and allows Wayland users to interact with windows that
contain client-side decorations, too.
The DNS Proxy has the idea to randomize the DNS pool based on a
list set via the resolv.conf file. Additionally, it caches DNS
requests, so that additional requests for the same subdomains aren't
requested anymore to reduce network traffic.
Due to all ISPs overriding
DNS Answers with wrong TTL values for
DNS Queries in order to correlate
and track their customer's online browsing behaviour, this is my response
to the situation.
Research was a Design and Feasibility Study inspired by the popular series Person of Interest.
Its design goals were to find out whether a navigation and interaction within a Web Browser can
be implemented completely on voice commands, and in an incremental manner. The incremental voice
commands allowed to filter out and (re-)sort displayed data, whereas the Tabs in the navigation
bread crumb reflected those interactions with the gathered data.
The personal assistive features were implemented with the lychee.js Engine, which also
eased up shipment of pretrained neural networks that were helping the user to repeat common
interactions with the dataset. Additionally, neuralsort learned how to sort data over time
for repetitive actions on the datasets, which automated repetitive filter actions and views.
The GUI was implemented in nw.js, as it allowed much
more flexible integration with voice recognition APIs at the time - compared to electron as a
runtime.
The learnings of this Design Study are meanwhile merged into the Stealth Browser.
Switchine is a 3D Printer and CNC
with the design goal of having multiple automatically replaceable tools. It can be used for
3D printing, wood and metal milling and other applications.
Its sturdy frame is built to last, and it focusses on using ISO measurements and standards
everywhere in order to ensure a high-quality build. The tool-switching mechanism is based
on electronic magnets and allows to switch tools without human interaction.
The design goal of the project is to find a simple 3D printer design that can be used as a
base while not overcomplicating things related to movement. Most other printers and milling
machines have movement precision issues due to the jerk and acceleration trade-offs that
come with using movement belts. However, Switchine aims to use magnetic MGN12 rails
in order to allow maximum precision while not sacrificing speed.
The Git Cockpit is a git overview tool with a reduced minimalistic web interface
in order to manage your local git repositories more efficiently.
The dashboard is aware of all git remotes, and uses the git porcelain commands
in order to figure out which repositories are out of sync, which repositories need
fixing and which repositories are ahead or behind of which remote.
git-work is a tool that allows to use GitHub and GitLab issues straight
from the Terminal without an internet connection.
It stores an offline-cache of issues that you can work with, without the necessity
of an internet connection while managing your issues locally. The issues are also
peer-synchronizable automatically with other remotes that are present as
git remotes in the project's git config.
As each remote endpoint in the .git/config is tracked and automatically
synchronized, it allows to host both upstream and downstream related issues.
This allows easy maintenance of forks and synchronization and easy management
of issues related to upstream bugs or pull requests that the downstream developer
was assigned to.
The Reinforced Pong AI with Evolution Game was part of a series of AI workshops
I taught in University. It is the third part of the series and demonstrates how
it's possible to scale up and parallelize training simulations of existing
Reinforcement Learning based AIs.
In order to do that, the attendees of the workshops had to implement an Evolution,
the Gene Pool and Cross-Breeding Algorithms themselves in order to understand
the benefits and advantages of a large-scale Multi-Agent Evolutionary Simulation
compared to locally running Reinforcement Simulations.
This part of the workshop taught the attendees the essential concepts and differences
of an Analytical AI and Generational AI architecture, its benefits and (dis)advantages,
and how different Neural Search Architectures typically try to find the best Brain
structure by keeping track of the dominant genes and phenotypes for their Agents.
The Reinforced Pong AI Game was part of a series of AI workshops I taught in
University. It is the second part of the series and demonstrates how it's possible
to build a simple Pong AI and a simple Feed Forward Neural Network that learns how
to play the game by using Reinforcement Learning.
This part of the workshop taught the attendees the essential concepts of any Reinforcement
Learning algorithm, and showed up potential quirks of Overfitting, Underfitting,
Feature Selection techniques and what different kind of Learning (Error) Functions exist.
The Flappy Evolution AI Game was part of a series of AI workshops I taught in
University. It is the first part of the series and demonstrates how it's possible
to build a simple Flappy Plane AI and a simple Feed Forward Neural Network that learns
how to play the game by using only Genetic Programming techniques and Cross-breeding
of the dominant Agents.
This part of the workshop taught the attendees the essential concepts of any Evolutionary
Learning algorithm, and showed up potential quirks of Randomizations, the Learning Curve
and the problems when the Population is momentarily stuck until a new set of randomized
Agents comes up with a better solution.
Project Supra
(Closed Source)
-
In cooperation with ABB Research, Project Supra is a system built for the purpose
of automating the automation of factories.
Adapters translate the Siemens SPS
/ PLC Profinet network streams into
MQTT packets, which is stored
and processed on a huge cluster of MQTT Brokers.
The data is used to train a Co-Evolutionary backpropagated
ES/HyperNEAT
AI, which is able to learn from sensorics
inputs and can adapt and modify the programs on each Robot Cell while the system is
running inside the simulation.
As the training environment is simulated (but runs on real hardware as well) adapters
for ABB RobotStudio translate the generated code back to RAPID, the
proprietary robot programming language of ABB robots.
This cluster was able to achieve more than 1M simulations
per minute, which means the generated code reached a higher efficiency and quality than
over 30 years of human programming and refined work within less than a week in our prototype
factory when Supra came online.
The Polyfillr Framework is a modern ES2016+
based framework for Web Development in the modern age. It aims to be completely
transpiler-free and build-chain-free whilst offering modern APIs and Polyfills
from ES6 Harmony and later to legacy Web Browsers.
It is split up between a Console Polyfill, an ECMAScript Polyfill, and a Web
Components Polyfill that allows to implement real Web Components based on HTML
Imports and Custom Elements.
Its design goals is to be as small in size as possible, and as standards-compliant
as possible; whilst embracing simplicity in its APIs.
It can be used in Electron, NW.js,
Desktop Browsers, WebKit Mobile, Safari Mobile, Chrome, Firefox, Edge and outdated
Internet Explorer variants in a reliable way.
The GitHub Scrumboard is a simple Browser Extension for both Chrome and
Firefox that modifies the GitHub issues view by adding drag and drop into an
agile scrum board view that displays all issues present on the GitHub repository.
The GitHub Scrumboard allows to filter by milestones and it auto-labels issues
with backlog, todo, in-progress, in-testing and
done behind the scenes.
The workflow is also integrated with git-work and allows offline and
peer-to-peer synchronization of issues among all developers that work on the
same project. As the issues are synchronized per-remote and per-repository,
multiple remote endpoints can host not only identical, but also varying
kinds of issues that do not necessarily have to be synchronized upstream.
The lychee.js Breeder is part of the lychee.js Engine and is a
a simple command-line tool that automates the initialization workflow of new
lychee.js Projects and Libraries.
It can initialize a new lychee.js Project (which is also an isomorphic
Library), integrate the lychee.js Harvester, integrate external
Libraries and convert them into a format that the lychee.js Strainer
understands, and pull/push the Project into the peer-cloud, so that other
developers using lychee.js can benefit from its code and knowledge.
As the lychee.js Breeder is written in lychee.js, it is also learned by
the lychee.js Strainer and therefore checked, verified and maintained
by the Artificial Intelligence.
node-websdl
The node WebSDL Runtime is a prototypical runtime that allows to communicate
from node.js to libSDL2 in order to render graphics, leverage user input (for both
touch and legacy systems) and integrate windows into the Operating System.
As SDL is compatible with almost all
Operating Systems, the design goal of this project was to provide an alternative
runtime to Electron and NW.js. node.js was chosen as a platform, because it already
solves the networking, scheduling and system i/o in a reliable way.
The lychee.js Harvester is part of the lychee.js Engine and is a
peer-to-peer fully autonomous server that can understand and evolve multiple
network protocols, such as WS13,
HTTP1/1.1,
HTTP2,
TCP,
UDP,
ICMP
and SNMP.
The trained neural networks are able to do Traffic Sharding and Routing, and
are able to intelligently break NATs
by using NAT breaking techniques that they were taught.
Additionally, the lychee.js Harvester integrates all lychee.js Libraries and
Projects into a giant peer-cloud of development machines, which means that
every Project or Library created on this planet helps the lychee.js Strainer
to learn and understand the contained knowledge.
As the lychee.js Harvester is written in lychee.js, it is also learned by
the lychee.js Strainer and therefore checked, verified and maintained
by the Artificial Intelligence.
The lychee.js Fertilizer is part of the lychee.js Engine and allows
fully autonomous reproducible and self-updating builds across all platforms.
It integrates the Fertilizer Adapters and Engine's serialization concept in
order to deploy to various platforms, including BlackberryOS, Android, FirefoxOS,
all Web Browsers, native Linux, Windows and MacOS, and even Arduino variants.
Its underlying concept allows quick and easy integration of new ECMAScript
runtimes that are bundled in the final application builds. These builds
contain all integrations in order to be remote-debugged and integrated into
the Neural Network learning workflow in order to trace down bugs more
efficiently and let the lychee.js Strainer learn how to fix, rewrite
and deploy the application better in future.
As the lychee.js Fertilizer is written in lychee.js, it is also learned by
the lychee.js Strainer and therefore checked, verified and maintained
by the Artificial Intelligence.
The lychee.js Engine is a Next-Gen Isomorphic Application Engine for Embedded,
Console, Mobile, Server and Desktop.
It has the core idea to reuse components and isomorphic code across all platforms
it delivers to. These platforms can be incremental in its feature support, which
means also low-end platforms like Arduino variants are supported.
The lychee.js Engine delivers to different platforms using so-called Fertilizer
Adapters which allow feature detection and automated isomorphic builds from and
to every single platform it supports using the lychee.js Fertilizer.
Underneath the lychee.js Engine has a strong serialization and deserialization
concept that allows simulations and re-simulations across all platforms. Errors
can be reproduced everywhere, even network traffic and user interactions are put
in event graphs and are identified and learned by neural networks in order to
figure out what module had corrupt states or data.
The Adblock Proxy blocks advertisements and has support for Adblock Filter lists
and Host files. The project aims to cleanup advertisement from web pages, in order
to speed up loading times and offer a better user experience.
Even better, the Adblock Proxy is also able to parse the HTML files and apply
Adblock Filters directly there, so that the seen HTML by the Web Browser
is completely advertisement free.
The learnings of this project are meanwhile merged into the Stealth Browser.
Skye Drone
The Skye Drone is an interactive drone written as a lychee.js Project.
It integrates the underlying AI
stack and teaches neural networks how to command and control drones
intelligently, while leveragint the advantages of snapshots, serializations
and simulations so that errors can be reproduced and training happens
more efficiently.
The neocortex is divided into two different areas: The active cortex,
which allows human interaction and manual controls (e.g. via Myo HID)
and the passive cortex, which allows autonomous controls, flight
stabilization, and interaction with its own sensors and electronics.
The hardware is using a Raspberry Pi and a custom designed PCB
that interacts as a motor driver to interact with the ESCs,
with a stty interface for quick and easy communication.
The Zynga Jukebox is a component for playing sounds and music with the usage of
sprites with a focus on performance and cross-device deployment. It is known to
run even on Android 1.6+ devices and needs very few resources compared to other
solutions on the web.
It features a self-correcting Audio Loop which ensures that at any given
time no asynchronous playback happens, which is very important on low-end mobile
platforms that try to decode async media codecs like MPEG3 or similar.
Additionally, the Audio Loop allows to have multiple Track instances that
are managed in parallel and prioritized accordingly to their usage and relevance.
The audio track stack is automatically cloned and instanciated in the background,
and less used tracks have less percentage of available tracks in the track stack.
The Zynga Speedrun is a rendering benchmark created as a project for the
partnership between Zynga and the Browser Vendors. As rendering performance
of HTML5 canvas and
WebGL was slow, there was a need
for alternative DOM-using
rendering methods as a Renderer backend.
The Zynga Speedrun also features a Kiosk Mode which can be deployed
on multiple devices in the same network in order to benchmark them accurately
and fully autonomously.
All results are then collected on the server-side and can be compared, so
that the best rendering techniques and combinations can be selected.
webslide.me is both a Web Service and Web Presentation Framework that
allows the creation of HTML5 and CSS3 slides for use in the Web Browser.
The framework works in Mobile Web Browsers, as well as Desktop Web Browsers,
and integrates a Remote Control feature via Web Sockets so that the audience
views the same slides as the presenter. The Remote Control also offered the
capability of asking questions to the topics that were displayed in the active
Slide, in order to motivate the audience's interest.
Additionally, the Slide Editor is able to edit all slides via a graphical
in-Browser user interface.
The Patienteninfo Service is the official web platform for customer
information data (and the package inserts that are required by European
Law) of drugs and medicines.
The doctor-facing database contains more than 1.5M+
entries and offers searching and cross-referencing of interactions between
medicaments and clinical studies, and an integration with the patient's medical
history.
The customer-facing database offers a download of the package insert
document in various formats. As the web platform is totally barrier-free, those
formats included PDF,
HTML,
DAISY and other
audio book and screen reader compatible formats.
The DAISY pipeline
is an end-to-end TTS pipeline to convert
various document formats such as PDF,
EPUB or
HTML to the DAISY audio book
format. The Pipeline also allows to integrate third-party speech synthesis
services, so that text can be split up into paragraphs that can be voiced
over automatically.
It is used in the Patienteninfo-Service, which is the official information
service provider for medical supplies required by the European Union
and offered by the Rote Liste.
The GIBook Editor is a simple tool to edit the intermediary format
called GIBook XML of the Rote Liste.
This tool was used internally in order to be able to manually correct
broken auto-converted RTF documents
that had missing sections, paragraphs, or malformed texts in them.
Dailycheck
(Closed Source)
-
The Dailycheck is a software that allows to automatically check
complex UI/UX workflows in server-side applications and web applications,
in order to check for their operational status.
It is possible to completely integrate complex workflows using a headless
Web Browser instance and both server-side and client-side plugins.
The Dailycheck mainly is used to completely verify complex web form
interactions and workflows, such as uploading and converting files online
end-to-end or to verify status reports of processes on remote servers, such
as the temperature and SMART sensor data on an in-house server cluster.
The Pfizer Marketingportal is a web platform that automates the document
creation, document editing and document printing and publishing pipeline
for the Pfizer Pharma conglomerate.
The media database primarily made for PDFs, pictures, photos and documents
features several workflows, including a bidding system for publishers and
an automated pipeline for classification of rated content, words and filters.
It is an end-to-end 100% automated publishing platform that is able to send
orders of to-be-published documents directly from the Designer's computer
straight to the big Heidelberg Druckmaschine industrial printers.
The jQuery Desktop is an experiment that tried to implement a Web Browser
based Desktop interface in order to reflect common application functions.
Its underlying idea is to provide a management interface that can be used
from external devices, for example as a remote server management interface.
Over the years many random projects reused the code of this experiment,
and made fun and interactive user interfaces with it. Code-wise, this was
a prototype, and should be treated as such.
The Webmail Interface is a Web Service compatible with all mobile
phones, including low-end feature phones that have no touch screen.
Its configuration allows to have multiple endpoint connections, it is also
compatible with IMAP
and POP3, both encrypted via
SSL/TLS and unencrypted.
Its design goals are to have a small webmail interface that heavily reduces
internet bandwidth and is made for usage via 2G Slow or throttled mobile
internet connections - while still allowing the end-user to draft, send and
receive E-Mails with a simplified Web Browser user interface.
Vespolu
(Closed Source)
The Vespolu manager is a self-hosted web platform written in C++ and PHP, and
allows the synchronization and cyber intelligence part of documents, files,
contact books, SIM card contents and software across multiple portable devices
(both Java SE based feature phones and Windows based PDAs at the time).
It also featured the transmission of Silent SMS (also known as Class 0 SMS)
in order to force-deploy software to known IMEI/phone numbers, because there
is actually no security measurement in place to prevent that.
The targeted networks are carrier-grade NATs
that require NAT breaking techniques in order to ensure unthrottled
connectivity to other devices and ISP
networks.
As the NGN migration of all ISPs
was done in 2004-2006, Vespolu was already able to exploit out of the
hardware-layered VC4 routing protocol.
TiMon
(DTAG Intranet)
-
The Telekom Trainee Information Management platform (in short TiMon)
is a web portal that was designed to automate the process of the interaction
between employees, trainees and the legal requirements.
The online platform integrated a chat, calendar features, synchronizable
events with the Telekom MDA (Windows Mobile platform), document
management with an automated conversion, signing and submission pipeline
to the German IHK.
StegIt is a tool to embed and extract steganographically hidden data in
various image formats.
It intelligently searches for all possible rectangular areas in order to
recognize patterns that look like encrypted blocks of known algorithms.
StegIt is able to recognize multiple header formats intelligently and
offers various ways of using password-cracking techniques on the image
in order to encode/encrypt or decode/decrypt it.
Additionally, various synchronous encryption algorithms
can be chosen from to use a password for embedding your data.
This talk is an in-depth talk into NEAT, the Neuro Evolution of Augmenting Topologies,
a concept that allows to use the advantages of evolution and combines them with a process
to discover how neural networks should be structured in order to solve a given problem.
This talk focusses on Adaptive Neural Networks and their advantages
or disadvantages in comparison with other Neural Network architectures.
Additionally, it explains common (co-)evolutionary concepts, such as
NEAT, HyperNEAT and ES/HyperNEAT from an architectural perspective.
This talk focusses on the inner workings of a JIT compiler and how it tries
to optimize JavaScript (ECMAScript) code inside the V8 VM. The talk contains
examples across all data types and explains how they are handled by the
Garbage Collector with its object instance and object lifetime tracing algorithms.
Additionally it explains the structure of the Garbage Collection Tree and its
horizontal and vertical dimensions by explaining how Callsite Analysis algorithms
work.
This talk contains everything a developer needs to know in order to build
blazing-fast and performant JavaScript-based applications. It also explains
inner workings of Hidden Classes in V8, and how the Garbage Collector and
JIT optimizer potentially (de-)optimizes the code.
This talk explains the prototype of the lychee.js Library in order to
evaluate how to port a Game Engine and its data structures via Bindings
to the native OpenGL or WebGL context, and how to serialize and transfer
those. Additionally it demonstrates which kind of implementations are
necessary to achieve this, and what kind of code architectures and patterns
have to be respected in order to do so.
Contact.
If you want a chit-chat you can contact me on most of the Social Networks
via the pseudonym @cookiengineer. Accounts owned by me are all
linked at the top in the About Me
section.
If you want to work together with me in a professional manner and have
challenging problems to solve, you are invited to contact me via this
form here. Note that this will open up an issue on GitHub with the given
contact details.
If you want to stay anonymous, use a Telegram Secret Chat
or a TOX Chat instead.
