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A developer shared week three progress on building a full fishing game entirely with ai, handling the game loop, visuals, and logic through claude. → uses ai to write custom fishing mechanics, rod tension physics, and bite detection logic → generates 2d/3d visual assets, water shaders, and environmental backdrops... show more

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48,364 views • 2 days ago •via X (Twitter)

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AVALON

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Mansa AI is an enterprise-grade AI + Web3 platform designed to move artificial intelligence from experimentation into real-world execution. Built for creators, developers, and businesses, it focuses on deploying AI that actually works across modern digital systems, not just in isolated demos. 🚀 Production-ready AI infrastructure Mansa AI enables teams to deploy AI systems designed for live environments, handling real workflows, real data, and real operational demands without constant manual oversight. 🧠 Autonomous AI agents At its core, Mansa AI allows users to build autonomous agents that automate decision-making, coordinate tasks, monitor live signals, and execute complex workflows across dynamic environments. ⚙️ Fully customizable logic Agents can be configured with custom behaviors, triggers, and responses. From content generation and analytics to operational automation and intelligent orchestration, logic adapts to specific business strategies. 🔗 Web3 and off-chain integration Mansa AI bridges blockchain ecosystems with traditional systems, enabling cross-chain coordination, smart contract interactions, and seamless integration with existing enterprise infrastructure. 📊 Real-world use cases The platform supports automation for operations, customer engagement, analytics, data pipelines, content workflows, and AI-driven optimization across products and teams. 📈 Built for scale Whether launching as a startup or deploying across enterprise systems, Mansa AI is designed to scale AI operations without adding complexity or fragmentation. Mansa AI transforms artificial intelligence into deployable infrastructure. By combining autonomy, customization, interoperability, and scalability, it enables teams to own, operate, and grow intelligent systems that deliver real value in production environments.

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99,758 views • 1 year ago

Spent just 2 days vibe coding and already have a playable kart racing prototype. AI has reached a point where even building 3D games feels fast and fluid. I used Cursor (Opus 4.7) with Three.js plus CC-licensed assets. The plan is clear. This will go live on Karts․com as a real-time multiplayer racing game. Multiple tracks, different characters, and constant expansion. The first track is inspired by Santa Monica Pier. Next step is more advanced tracks, boosts, slopes, and deeper mechanics. Building a game and watching your ideas come to life piece by piece is insanely fun. #GameDev #DomainDrivenDevelopment

Spent just 2 days vibe coding and already have a playable kart racing prototype. AI has reached a point where even building 3D games feels fast and fluid. I used Cursor (Opus 4.7) with Three.js plus CC-licensed assets. The plan is clear. This will go live on Karts․com as a real-time multiplayer racing game. Multiple tracks, different characters, and constant expansion. The first track is inspired by Santa Monica Pier. Next step is more advanced tracks, boosts, slopes, and deeper mechanics. Building a game and watching your ideas come to life piece by piece is insanely fun. #GameDev #DomainDrivenDevelopment

Ken Lin

17,000 views • 4 months ago

GLM-5.1 > Claude Code (Opus 4.6)? I'm tripping or CC has become very bad but built a Three.js racing game to eval and it's extremely impressive. Thoughts: - One-shot car physics with real drift mechanics (this is hard) - My fav part: Awesome at self iterating (with no vision!) created 20+ Bun.WebView debugging tools to drive the car programmatically and read game state. Proved a winding bug with vector math without ever seeing the screen - 531-line racing AI in a single write: 4 personalities, curvature map, racing lines, tactical drifting. Built telemetry tools to compare player vs AI speed curves and data-tuned parameters - All assets from scratch: 3D models, procedural textures, sky shader, engine sounds, spatial AI audio! - Can do hard math: proved road normals pointed DOWN via vector cross products, computed track curvature normalized by arc length to tune AI cornering speed You are going to hear about this model a lot in the next months - open source let's go 🚀🚀

GLM-5.1 > Claude Code (Opus 4.6)? I'm tripping or CC has become very bad but built a Three.js racing game to eval and it's extremely impressive. Thoughts: - One-shot car physics with real drift mechanics (this is hard) - My fav part: Awesome at self iterating (with no vision!) created 20+ Bun.WebView debugging tools to drive the car programmatically and read game state. Proved a winding bug with vector math without ever seeing the screen - 531-line racing AI in a single write: 4 personalities, curvature map, racing lines, tactical drifting. Built telemetry tools to compare player vs AI speed curves and data-tuned parameters - All assets from scratch: 3D models, procedural textures, sky shader, engine sounds, spatial AI audio! - Can do hard math: proved road normals pointed DOWN via vector cross products, computed track curvature normalized by arc length to tune AI cornering speed You are going to hear about this model a lot in the next months - open source let's go 🚀🚀

Victor M

202,410 views • 4 months ago