DEV Community: Engin EROL

Building Chorono: an open-source AI-assisted animation editor for the web

Engin EROL — Sat, 23 May 2026 11:53:49 +0000

I recently published Chorono Editor on GitHub.

Chorono is a free and open-source animation/editor project that runs directly in the browser.

The idea started with a simple question:

Can we build a browser-based, extensible, AI-assisted animation tool that can gradually evolve into a professional creative platform?

This project is still in a very early stage, but the foundation is already taking shape.

What is Chorono?

Chorono Editor is a web-based creative tool focused on animation, timeline editing, visual workflows, and runtime playback.

It is not only intended to be an editor where animations are created and previewed.

The longer-term goal is to make animations portable so they can be used in real websites, product interfaces, mobile applications, and eventually different platforms through SDKs.

Current Features

The current version already includes the foundation for many important parts of an animation system:

AI-assisted animation creation
Timeline, layer, track, and keyframe system
GPU-accelerated particle rendering
WebGL2-based rendering architecture
Spline object system
Smart selection tools
Clone and array tools
Parameter wiring
Visual state machine / FSM
JavaScript scripting
Web Runtime support
Android SDK support
iOS SDK planned

There are still many missing parts, bugs, and areas that need to be redesigned, but the project is now public and open for feedback.

Runtime and SDK Support

One of the most important goals of Chorono is to make animations usable outside the editor.

Animations created in Chorono should not stay locked inside the editor UI.

They should be exportable and usable in real applications.

For web projects, the runtime can be installed with:

npm i @chorono/runtime

For Android projects, the SDK can be added with:

implementation("com.grntsoftware:chorono-android-sdk:1.0.0")

This means that the same animation workflow can gradually become useful across multiple platforms.

Why Runtime Matters

Many animation tools are focused only on editing.
But for Chorono, the runtime side is just as important as the editor.

The goal is to create an ecosystem where:

animations are designed in the editor,
exported as structured data,
played through a lightweight runtime,
and eventually distributed through platform-specific SDKs.

This makes Chorono more than a browser editor.
It becomes the beginning of a creative toolchain.

Long-Term Vision

I do not want Chorono to remain only an animation editor.

The long-term goal is to grow it into a larger AI-assisted creative platform.

The next major directions are:

Game Engine
2D Drawing / Illustration Tool
Video Editor
3D Modeling Program
AI-assisted creation, editing, and automation across all tools

The idea is to build a creative ecosystem where animation, games, video, drawing, and 3D workflows can share a common foundation.

Why Open Source?

The project is still early.

There are missing features, rough edges, bugs, and probably many things that will need to be redesigned.

But this is exactly why I wanted to publish it as open source.

I believe feedback from developers, designers, animators, and people interested in creative tools can help shape the project in a much better direction.

Repositories

Editor repository:

https://github.com/codie1982/chorono-editor

Runtime repository:

https://github.com/codie1982/chorono-runtime

Feedback

I would really appreciate feedback on:

the editor architecture,
the runtime and SDK direction,
the animation workflow,
the WebGL2 rendering approach,
and the long-term platform vision.

Chorono is still at the beginning, but I’m excited to keep building it in the open.


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Chorono is an open-source AI-assisted animation editor for the web, with timeline/keyframes, WebGL2 rendering, GPU particles, scripting, Web Runtime, Android SDK support, and a long-term vision toward a full creative platform.

🚀 How Generative AI Is Reshaping the U.S. Video Game Industry

Engin EROL — Mon, 16 Feb 2026 03:45:47 +0000

Generative AI is rapidly transforming how games are designed, developed, and experienced in the U.S. market. While AI offers new levels of creativity, automation, and efficiency, it also raises critical questions about quality, ethics, and artistic integrity.

Recent surveys highlight a growing skepticism among developers — over half believe the technology could negatively impact the industry despite its wide adoption across tools and workflows.

This article explores both sides of this double-edged sword — from enhanced procedural content generation to concerns over originality, job dynamics, and human creativity.

🔗 Read the full article:
https://tinten.ai/en/discovery/gaming/the-impact-of-generative-ai-on-the-us-video-game-industry-a-double-edged-sword-4uif

💬 What do you think? Will generative AI help push games to new creative heights or will it weaken core design principles? Let’s discuss! 👇

AI #Gaming #GameDev #Technology #Innovation #VideoGames #FutureOfWork

🚀 Intel’s Upcoming Nova Lake CPUs: What It Means for U.S. Consumers

Engin EROL — Mon, 16 Feb 2026 03:45:07 +0000

Intel’s next-generation Nova Lake CPU family, expected to arrive near the end of 2026, promises substantial architectural upgrades that could reshape the desktop computing landscape.

🔸 Builds on a new LGA 1954 socket with significant design enhancements.
🔸 Up to 52 cores for increased multi-threaded performance.
🔸 Enhanced NPU performance, powering AI acceleration and modern workflows.
🔸 Potentially competitive against AMD’s high-end offerings with expanded cache and performance targets.

For U.S. consumers and professionals alike, Nova Lake could unlock new capabilities in creative workflows, productivity workloads, and gaming — although power consumption and platform changes will be key considerations.

💬 What do you think — will Nova Lake shift the balance in the desktop CPU market?👇

Intel #NovaLake #CPUs #Tech #Hardware #Innovation #AI

🏈 Super Bowl 2026 Halftime Show: Culture, Identity & Controversy

Engin EROL — Mon, 16 Feb 2026 03:44:24 +0000

The 2026 Super Bowl LX Halftime Show became one of the most talked-about moments in recent memory — not just for its high production and star power but for its cultural and political impact. Featuring Puerto Rican artist Bad Bunny performing largely in Spanish, the show sparked both praise and criticism across the United States.

🔹 Many fans and commentators celebrated the performance as a cultural milestone, spotlighting Latin heritage and unity in diversity.
🔹 Others, including some political figures and commentators, sharply criticized the show as contrary to traditional American values.
🔹 In response, conservative groups even organized an alternative “All-American Halftime Show,” underscoring the polarization around the event.

Beyond sports and entertainment, this halftime spectacle became a flashpoint for conversations about identity, representation, and national discourse.

💬 What do you think — should global entertainment platforms lean into cultural expression or prioritize universal appeal? 👇

SuperBowl #BadBunny #NFL #Culture #Music #Innovation #Debate

hi everyone!

Engin EROL — Wed, 22 Jan 2025 13:07:53 +0000

Hi everyone! 👋

I’m excited to write my first post on this platform, and I’m very happy to be part of this amazing developer community. 🚀

🚀 FAISS HNSW-based Vector Database for Node.js is Here!

I’ve been working on a high-performance FAISS-based vector database for Node.js, and I’m excited to finally share it with you all! 🎉

💡 eada-cpu is optimized for FAISS HNSW (Hierarchical Navigable Small World) indexing, allowing efficient KNN searches directly in Node.js—without needing Python dependencies.

🔥 Benchmark Results

Metric	Value
Vector Dimension	`128`
Number of Vectors	`7,000,000+`
KNN Search Time	`4.05 ms` 🚀
Performance vs FAISS-Python	`10% - 15% faster`
Dataset Size	`~5GB`
Indexing Time	`1 hour 36 minutes`

💡 Fully Optimized for CPU!

This benchmark was run entirely on CPU, making it ideal for standard servers without requiring GPU acceleration.

This enables LLM RAG applications, recommendation engines, and vector searches to run efficiently and cost-effectively in Node.js.

🎯 Key Features

✅ FAISS HNSW support → High-speed, accurate KNN search

✅ Pure Node.js → No Python dependencies required

✅ Compatible with Windows / Linux / macOS (Intel & ARM64)

✅ CMake-based build system for easy cross-platform support

✅ N-API & Prebuilt support → Install easily with:


bash
npm i eada-cpu