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I built a simple C++ game engine: - ECS (Sprite, Velocity, Animation, Script) - Frame-based animations via JSON - Lua scripting for entity behavior - ImGui inspector + asset browser - SDL2 rendering w/ flipping - Drag-and-drop support for assets

Basketo

1,758 subscribers

52,366 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 10

Фото профиля Lennzer

Lennzer1 год назад

Dude, that's so cool! I've been setting up basics down for something like this. BTW I'm not entirely sure but splitting sprite sheets by using pixel dimensions would let you index them out - saw it in another post.

Фото профиля Basketo

Basketo1 год назад

Yeah, that’s actually how i’m handling animations, using fixed pixel dimensions to split the sprite sheet. It works, but honestly, it gets pretty tedious without a proper editor to preview and grab coordinates.

Фото профиля Juveria | Onchain Lens

Juveria | Onchain Lens1 год назад

cool 🔥

Фото профиля Basketo

Basketo1 год назад

tnx 🫰

Фото профиля Hojiwak

Hojiwak1 год назад

👏👏👏👏 papa tchlalek berta bro adis neger entebkalen bekrb 💪

Фото профиля Basketo

Basketo1 год назад

@hojiwaq84514 awo gd new. mokralew esti🫡

Фото профиля P4R4NO1D73

P4R4NO1D731 год назад

awesome

Фото профиля Basketo

Basketo1 год назад

🫡

Фото профиля Antônio Ivo da Silva Gomes

Antônio Ivo da Silva Gomes1 год назад

Awesome, man. Do you have some advice to someone who is trying to make something like this with pure C?! 😅

Фото профиля Basketo

Basketo1 год назад

Well 😁 1st thing is to avoid oop like trap, don't try to fake classes and inheritance and you will have fast engine core. and also keep it modular from the start otherwise it's gonna get ugly.

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Kartik

32,948 просмотров • 5 месяцев назад

first test results are in. qwen 3.6 27b dense just banged 10 out of 10 on a single rtx 3090 24gb tier at 40 tok/s. no quant tricks. no fused kernels. just q4_k_m straight cut on llama.cpp. i wrote a particle swarm benchmark this morning, fed it the prompt, and the model autonomously built a 500 particle boids flocking system. velocity driven hue, density based brightness, trail blend rendering, mouse attraction physics, click bursts, drag paint. then it used browser automation to test its own work, found the failing tests, iterated through the code, patched tests.js, and landed all 10 green on its own. i sat there hooked for 8 minutes playing. simple but mesmerizing. mouse trails build beautiful patterns, palette cycles with space, click sends particles flying, drag paints through the swarm. simplicity that hooks you. i'll open source this prompt and the build soon so anyone can reproduce it as their own benchmark. this is the first of 5 single file agent tests i wrote for this model. four more coming. octopus invaders flagship after as final. watch the full video below. see it autonomously build from one prompt. haven't slept well since this model dropped yesterday.

first test results are in. qwen 3.6 27b dense just banged 10 out of 10 on a single rtx 3090 24gb tier at 40 tok/s. no quant tricks. no fused kernels. just q4_k_m straight cut on llama.cpp. i wrote a particle swarm benchmark this morning, fed it the prompt, and the model autonomously built a 500 particle boids flocking system. velocity driven hue, density based brightness, trail blend rendering, mouse attraction physics, click bursts, drag paint. then it used browser automation to test its own work, found the failing tests, iterated through the code, patched tests.js, and landed all 10 green on its own. i sat there hooked for 8 minutes playing. simple but mesmerizing. mouse trails build beautiful patterns, palette cycles with space, click sends particles flying, drag paints through the swarm. simplicity that hooks you. i'll open source this prompt and the build soon so anyone can reproduce it as their own benchmark. this is the first of 5 single file agent tests i wrote for this model. four more coming. octopus invaders flagship after as final. watch the full video below. see it autonomously build from one prompt. haven't slept well since this model dropped yesterday.

Sudo su

132,605 просмотров • 2 месяцев назад

THIS GUY VIBE CODED GTA 6 ON GOOGLE EARTH IN ONE WEEKEND WITH CLAUDE CODE he built a browser based GTA style game that runs on top of real google earth cities drop into any real city on earth and drive through the actual streets real cops chase you, shoot at you, and arrest you at real police stations your in car radio auto tunes to real local stations based on where you are in the game (radio garden API) planes spawn at every real airport, boats spawn at every real port (OSM data) when you die you respawn at the nearest actual hospital. when you get arrested you respawn at the nearest actual police station the stack: - cesium for rendering google 3D tiles in browser - three.js for vehicles and physics - radio garden + OSM for the location data - claude code wrote 80% of the code this is the type of project that would have taken MONTHS to create this guy did it in less than 48 hours with barely any effort the possibilities with vibe coding in the game dev space are actually endless

THIS GUY VIBE CODED GTA 6 ON GOOGLE EARTH IN ONE WEEKEND WITH CLAUDE CODE he built a browser based GTA style game that runs on top of real google earth cities drop into any real city on earth and drive through the actual streets real cops chase you, shoot at you, and arrest you at real police stations your in car radio auto tunes to real local stations based on where you are in the game (radio garden API) planes spawn at every real airport, boats spawn at every real port (OSM data) when you die you respawn at the nearest actual hospital. when you get arrested you respawn at the nearest actual police station the stack: - cesium for rendering google 3D tiles in browser - three.js for vehicles and physics - radio garden + OSM for the location data - claude code wrote 80% of the code this is the type of project that would have taken MONTHS to create this guy did it in less than 48 hours with barely any effort the possibilities with vibe coding in the game dev space are actually endless

Om Patel

123,234 просмотров • 2 месяцев назад

Stumbled on Vercel’s creative design team page and instantly fell in love with the design, animations, and micro-interactions. So I decided to take a shot at it, recreating the experience for a fictional company called Varxell, with my own spin on everything except the design itself + I didn’t touch any of their assets. Everything was hand-coded from scratch, and every single asset was recreated in Figma. It was a fun challenge. Built with: • React • TypeScript • Vite • Framer Motion Live site: • • Repo: • Every page functionality and animation was implemented as a reusable hook, with internal JSDoc to make it easy to reuse in your own projects or remix however you like. Got any questions? Feel free to shoot me a DM

Stumbled on Vercel’s creative design team page and instantly fell in love with the design, animations, and micro-interactions. So I decided to take a shot at it, recreating the experience for a fictional company called Varxell, with my own spin on everything except the design itself + I didn’t touch any of their assets. Everything was hand-coded from scratch, and every single asset was recreated in Figma. It was a fun challenge. Built with: • React • TypeScript • Vite • Framer Motion Live site: • • Repo: • Every page functionality and animation was implemented as a reusable hook, with internal JSDoc to make it easy to reuse in your own projects or remix however you like. Got any questions? Feel free to shoot me a DM

David Herbert👨🏽‍💻🚀

23,755 просмотров • 1 год назад

Thrilled to announce Kingnet AI V2 is now officially live ! We have officially deployed on the BNB Chain first ! Whether you're an enthusiast or a professional game developer, come and try it out now： Each generated asset costs approximately $3 and supports export in professional game-editing formats. We will soon support exporting assets in NFT on-chain formats, empowering Web3 users and partners with seamless integration. Jump down more rabbit holes next.👇 📔 Product Introduction： By conversing naturally with agent Joi, users can achieve a complete automated game development cycle - from requirement proposal to finished product delivery. Users simply need to describe their game concepts and design requirements in natural language, and Joi will automatically utilize built-in generator including: • Animation Generator： AI-driven motion generation with auto-rigging technology for instant character animation • Map Generator： Procedural map generation with built-in logic validation for consistent world-building • Numerical Generator： Automated game economy tuning for fair yet challenging gameplay systems • Editable Code Generator： Generates clean, maintainable game logic code with multi-platform/multi-language support • Interface Generator： Intelligent layout engine that optimizes user experience and interaction flow Joi intelligently generates all necessary game components, performs multi-dimensional feasibility checks, and ultimately completes game synthesis, packaging and deployment. Users can directly click to try the game on the chat interface, or download the complete editable code package to achieve rapid iteration and secondary development. 🎯 Core Architecture： 1/ Natural Language Understanding & Multimodal Intent Parsing: Utilizing advanced deep learning NLP models (e.g., Transformer-based language understanding models), Joi precisely interprets user natural language inputs and extracts core game design intents and parameters. Through semantic segmentation and entity recognition, complex requirements are decomposed into specific tasks for animation, map, numerical systems, UI, and code modules. 2/ Modular Editor System & API Integration: Joi employs a unified API framework to enable seamless collaboration between editor modules, ensuring high compatibility in data formats and workflows. 3/ Intelligent Validation & Quality Assurance: The system incorporates multi-dimensional verification mechanisms including animation continuity checks, map pathfinding and physical logic validation, game balance analysis, UI interaction consistency verification, and static/dynamic code security testing. Automated testing and feedback loops ensure outputs meet high-standard game design specifications. 4/ Automatic Synthesis, Packaging & Instant Deployment: Verified resources are automatically integrated to complete game compilation, packaging and deployment. Supports one-click generation of playable online links and downloadable complete code packages for immediate testing or deep customization/iterative development. 5/ Interactive Chat Interface & Seamless UX: The entire workflow is completed within the chat interface, significantly reducing traditional game development's communication and operational barriers. Users accomplish complex game design and development through conversation while receiving real-time feedback and adjustment suggestions, democratizing game creation. 6/ Industry-Disrupting Value: Transforms traditional manual development into AI-driven automated pipelines.

Thrilled to announce Kingnet AI V2 is now officially live ! We have officially deployed on the BNB Chain first ! Whether you're an enthusiast or a professional game developer, come and try it out now： Each generated asset costs approximately $3 and supports export in professional game-editing formats. We will soon support exporting assets in NFT on-chain formats, empowering Web3 users and partners with seamless integration. Jump down more rabbit holes next.👇 📔 Product Introduction： By conversing naturally with agent Joi, users can achieve a complete automated game development cycle - from requirement proposal to finished product delivery. Users simply need to describe their game concepts and design requirements in natural language, and Joi will automatically utilize built-in generator including: • Animation Generator： AI-driven motion generation with auto-rigging technology for instant character animation • Map Generator： Procedural map generation with built-in logic validation for consistent world-building • Numerical Generator： Automated game economy tuning for fair yet challenging gameplay systems • Editable Code Generator： Generates clean, maintainable game logic code with multi-platform/multi-language support • Interface Generator： Intelligent layout engine that optimizes user experience and interaction flow Joi intelligently generates all necessary game components, performs multi-dimensional feasibility checks, and ultimately completes game synthesis, packaging and deployment. Users can directly click to try the game on the chat interface, or download the complete editable code package to achieve rapid iteration and secondary development. 🎯 Core Architecture： 1/ Natural Language Understanding & Multimodal Intent Parsing: Utilizing advanced deep learning NLP models (e.g., Transformer-based language understanding models), Joi precisely interprets user natural language inputs and extracts core game design intents and parameters. Through semantic segmentation and entity recognition, complex requirements are decomposed into specific tasks for animation, map, numerical systems, UI, and code modules. 2/ Modular Editor System & API Integration: Joi employs a unified API framework to enable seamless collaboration between editor modules, ensuring high compatibility in data formats and workflows. 3/ Intelligent Validation & Quality Assurance: The system incorporates multi-dimensional verification mechanisms including animation continuity checks, map pathfinding and physical logic validation, game balance analysis, UI interaction consistency verification, and static/dynamic code security testing. Automated testing and feedback loops ensure outputs meet high-standard game design specifications. 4/ Automatic Synthesis, Packaging & Instant Deployment: Verified resources are automatically integrated to complete game compilation, packaging and deployment. Supports one-click generation of playable online links and downloadable complete code packages for immediate testing or deep customization/iterative development. 5/ Interactive Chat Interface & Seamless UX: The entire workflow is completed within the chat interface, significantly reducing traditional game development's communication and operational barriers. Users accomplish complex game design and development through conversation while receiving real-time feedback and adjustment suggestions, democratizing game creation. 6/ Industry-Disrupting Value: Transforms traditional manual development into AI-driven automated pipelines.

Kingnet AI

45,966 просмотров • 1 год назад

It's officially that time of year again! Presenting the second annual "DreamDisc" indie gamejam for the Sega Dreamcast! If you weren't around for last year, check out the video! We had 24 incredibly polished, epic submissions including a wide-range of genres, such as 3D space shooters and resource managers, 2D platformers and racing games, VMU minigames, custom hardware, and even a custom implementation of the Java VM for SH4! Just like last year, the top 10 submissions, as voted by a panel of judges, will be pressed to a commercially released, actual physical Sega Dreamcast disc, which will be available for purchase from Orc Face Games - Chew Chew Mimic out on Dreamcast!! Oh, and there are cash prizes for the top 3, of course! This year we have an even wider range of engines, frameworks, and prebuilt library solutions for developers are all experience levels, including: 1) Antiruins - Lua-based, very newbie friendly game engine for the Sega Dreamcast. 2) raylib - famous cross-platform C-based games framework which needs no introduction 3) SDL2/3 - our very own ports of the famous cross-platform SDL libraries, which target the Dreamcast. 4) Simulant - the same engine that powered Driving Strikers--the very first online homebrew commercial DC game--as well as last year's wining submission, written in C++. 5) KallistiOS - you can raw-dog the indie SDK and pseudo OS that started it all and powers everything in the community, rolling your own tech stack. 6) SH4ZAM - my collection of SH4 assembly optimized math and matrix routines, which originally powered our Grand Theft Auto ports. Contestants are encouraged to join the OrcFace and Simulant Discord servers where they can interact with other DC developers, share their progress, and ask for help with anything they may need. Official DreamDisc '25 website:

It's officially that time of year again! Presenting the second annual "DreamDisc" indie gamejam for the Sega Dreamcast! If you weren't around for last year, check out the video! We had 24 incredibly polished, epic submissions including a wide-range of genres, such as 3D space shooters and resource managers, 2D platformers and racing games, VMU minigames, custom hardware, and even a custom implementation of the Java VM for SH4! Just like last year, the top 10 submissions, as voted by a panel of judges, will be pressed to a commercially released, actual physical Sega Dreamcast disc, which will be available for purchase from Orc Face Games - Chew Chew Mimic out on Dreamcast!! Oh, and there are cash prizes for the top 3, of course! This year we have an even wider range of engines, frameworks, and prebuilt library solutions for developers are all experience levels, including: 1) Antiruins - Lua-based, very newbie friendly game engine for the Sega Dreamcast. 2) raylib - famous cross-platform C-based games framework which needs no introduction 3) SDL2/3 - our very own ports of the famous cross-platform SDL libraries, which target the Dreamcast. 4) Simulant - the same engine that powered Driving Strikers--the very first online homebrew commercial DC game--as well as last year's wining submission, written in C++. 5) KallistiOS - you can raw-dog the indie SDK and pseudo OS that started it all and powers everything in the community, rolling your own tech stack. 6) SH4ZAM - my collection of SH4 assembly optimized math and matrix routines, which originally powered our Grand Theft Auto ports. Contestants are encouraged to join the OrcFace and Simulant Discord servers where they can interact with other DC developers, share their progress, and ask for help with anything they may need. Official DreamDisc '25 website:

Falco Girgis

16,980 просмотров • 8 месяцев назад

Today we have a direct hardware capture of an upcoming Sega Dreamcast homebrew title, tentatively known as "DemoTek," from developer, ac3t1ne, whose goal is to create a Crash Bandicoot-style platformer. The game uses our GLdc implementation of OpenGL 1.2 for rendering, libADX for music, and with my own SH4ZAM library for vector math, all of which are first-party ports provided within the KallistiOS indie DC SDK. The engine already features a renderer with some fairly aggressive batching and pre-submission culling, some clever LOD tricks and frame blending (notice the lava animates at twice the FPS when the player is close to it), as well as a particle system, which drives the smoke and bubbles. Something that I find quite interesting and exciting is that ac3t1ne has also managed to create a kind of update manager which can check for newer versions of the game (or any other Dreamcast binary), then download it via dial-up modem or broadband adapter, and install it onto an SD card! Be sure to check out ac3t1ne's YouTube channel for more updates:

Today we have a direct hardware capture of an upcoming Sega Dreamcast homebrew title, tentatively known as "DemoTek," from developer, ac3t1ne, whose goal is to create a Crash Bandicoot-style platformer. The game uses our GLdc implementation of OpenGL 1.2 for rendering, libADX for music, and with my own SH4ZAM library for vector math, all of which are first-party ports provided within the KallistiOS indie DC SDK. The engine already features a renderer with some fairly aggressive batching and pre-submission culling, some clever LOD tricks and frame blending (notice the lava animates at twice the FPS when the player is close to it), as well as a particle system, which drives the smoke and bubbles. Something that I find quite interesting and exciting is that ac3t1ne has also managed to create a kind of update manager which can check for newer versions of the game (or any other Dreamcast binary), then download it via dial-up modem or broadband adapter, and install it onto an SD card! Be sure to check out ac3t1ne's YouTube channel for more updates:

Falco Girgis

12,421 просмотров • 3 месяцев назад