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Here's how I'm generating game ready art assets for my vibe coded game; → No coding → No photoshop. → No asset packs. Instead I'm using → Codex CLI → GPT 5.4 → GPT Image 1.5 → Sora 2 Idle anims, walk cycles, attack, crouch, jump ... Full video...

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Chong-U

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80,999 просмотров • 4 месяцев назад •via X (Twitter)

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Here's a full video walkthrough of generating FF Tactics-style isometric sprites → Codex → GPT 5.4 → GPT Image 1.5 → Nano Banana 2 → Veo 3.1 I also made a fal .ai skill to easily switch models for image generation testing. Sharing skills + prompts + resources in reply 👇 00:00 Intro 01:19 Start With Reference Image 04:06 GPT Image 1.5 vs Nano Banana 2 04:23 Handling Transparency 05:21 Don't Generate All 8 Directions 06:17 Generate 4 Cardinal Directions (N, E, S, W) 07:12 Anchor + Cardinals = Diagonals 08:15 Stitching and Utilities 10:48 Veo 3.1 for Walk Cycles 11:23 Example Walkthrough with Codex App 13:22 Normalize and Export 14:06 Wrap Up
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Here's a full video walkthrough of generating FF Tactics-style isometric sprites → Codex → GPT 5.4 → GPT Image 1.5 → Nano Banana 2 → Veo 3.1 I also made a fal .ai skill to easily switch models for image generation testing. Sharing skills + prompts + resources in reply 👇 00:00 Intro 01:19 Start With Reference Image 04:06 GPT Image 1.5 vs Nano Banana 2 04:23 Handling Transparency 05:21 Don't Generate All 8 Directions 06:17 Generate 4 Cardinal Directions (N, E, S, W) 07:12 Anchor + Cardinals = Diagonals 08:15 Stitching and Utilities 10:48 Veo 3.1 for Walk Cycles 11:23 Example Walkthrough with Codex App 13:22 Normalize and Export 14:06 Wrap Up

Chong-U

194,068 просмотров • 4 месяцев назад

Prefer a video vs reading an article? Here's my full step-by-step tutorial for generating game character sprites using AI! > Codex > GPT 5.5 > Images 2.0 > Seedance 2.0 > Phaser 4 Includes solving walk cycles + transparency + consistency + others Prompts + more in reply 👇 00:00 Intro 01:08 Overview 01:33 Choosing your AI tool 02:11 Step 1: Box Art 02:51 Step 2: South-Facing Anchor 05:02 "Real Pixels" 07:00 Step 3: Keep Anchors Neutral 08:01 Step 4: NEWS Directions 09:52 Step 5: Animating with GPT Images 2.0 14:38 Step 6: Image to Video for Walkcycles 19:08 Step 7: Normalisation 20:54 Skill 1: animated-spritesheets skill 21:40 Skill 2: gamedev-assets skill 21:58 Step 8: Integrating Assets 22:42 Wrap-Up
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Prefer a video vs reading an article? Here's my full step-by-step tutorial for generating game character sprites using AI! > Codex > GPT 5.5 > Images 2.0 > Seedance 2.0 > Phaser 4 Includes solving walk cycles + transparency + consistency + others Prompts + more in reply 👇 00:00 Intro 01:08 Overview 01:33 Choosing your AI tool 02:11 Step 1: Box Art 02:51 Step 2: South-Facing Anchor 05:02 "Real Pixels" 07:00 Step 3: Keep Anchors Neutral 08:01 Step 4: NEWS Directions 09:52 Step 5: Animating with GPT Images 2.0 14:38 Step 6: Image to Video for Walkcycles 19:08 Step 7: Normalisation 20:54 Skill 1: animated-spritesheets skill 21:40 Skill 2: gamedev-assets skill 21:58 Step 8: Integrating Assets 22:42 Wrap-Up

Chong-U

178,559 просмотров • 3 месяцев назад

STOP vibe coding Flappy Bird or Snake clones. AI gamedev tools are EASIER than ever to use. So start building your dream game NOW. I made a point & click pirate adventure game: → 3D rigged characters → Level editor + Hotspots → Voice acting → Inventory No Unity. No Unreal. All vibe coded. Tools: → GPT 5.2 + GPT 5.3-Codex → Opus 4.6 → Nano Banana Pro → Elevenlabs → Seedance + Hailuo image-to-video → Three.js and Capacitor I've been posting my journey on X. You don't need to spend ages. All this was done during spare pockets of time. Just experiment. Keep trying new things.
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STOP vibe coding Flappy Bird or Snake clones. AI gamedev tools are EASIER than ever to use. So start building your dream game NOW. I made a point & click pirate adventure game: → 3D rigged characters → Level editor + Hotspots → Voice acting → Inventory No Unity. No Unreal. All vibe coded. Tools: → GPT 5.2 + GPT 5.3-Codex → Opus 4.6 → Nano Banana Pro → Elevenlabs → Seedance + Hailuo image-to-video → Three.js and Capacitor I've been posting my journey on X. You don't need to spend ages. All this was done during spare pockets of time. Just experiment. Keep trying new things.

Chong-U

21,531 просмотров • 5 месяцев назад

SOMEONE VIBE CODED A FULL PC GAME 100% prompts with no code the stack: - built entirely in Cursor - 90% Grok 4.5, rest Opus 4.8 and GPT 5.5 - switched to Grok 4.5 for speed and cost - built on Godot - art generated with ChatGPT Images through his own custom tool Act 1 is already playable this is what vibe coding actually looks like now
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SOMEONE VIBE CODED A FULL PC GAME 100% prompts with no code the stack: - built entirely in Cursor - 90% Grok 4.5, rest Opus 4.8 and GPT 5.5 - switched to Grok 4.5 for speed and cost - built on Godot - art generated with ChatGPT Images through his own custom tool Act 1 is already playable this is what vibe coding actually looks like now

Madni Aghadi

103,220 просмотров • 17 дней назад

Spent the last few days vibe coding on my NVIDIA DGX Spark. Here's what I learned. Qwen 3.5 122B took one minute and nine seconds to respond "Hi how are you doing". Unusable for vibe coding. Gemma 4 was fast but built a dot instead of a first person shooter game. GPT-OSS 120B was the sweet spot. Fast, capable, and actually produced working HTML. Open source models running locally are not replacing Claude Opus 4.6 or Codex with GPT 5.4. Not even close. But they're getting better every month. The new DGX Spark Bench is live on Real-world benchmarks for local models on local hardware. This is just the start. Full video below.
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Spent the last few days vibe coding on my NVIDIA DGX Spark. Here's what I learned. Qwen 3.5 122B took one minute and nine seconds to respond "Hi how are you doing". Unusable for vibe coding. Gemma 4 was fast but built a dot instead of a first person shooter game. GPT-OSS 120B was the sweet spot. Fast, capable, and actually produced working HTML. Open source models running locally are not replacing Claude Opus 4.6 or Codex with GPT 5.4. Not even close. But they're getting better every month. The new DGX Spark Bench is live on Real-world benchmarks for local models on local hardware. This is just the start. Full video below.

BridgeMind

57,304 просмотров • 3 месяцев назад

Players told us: interactive video stories feel more immersive with game-like UI. So we built it. Yoroll now auto-generates contextual Game UI for your video scenes — powered by GPT Image 2. It reads your story, matches the vibe, and overlays the right interface. No design work. Just more immersion. See it in action 👇
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Players told us: interactive video stories feel more immersive with game-like UI. So we built it. Yoroll now auto-generates contextual Game UI for your video scenes — powered by GPT Image 2. It reads your story, matches the vibe, and overlays the right interface. No design work. Just more immersion. See it in action 👇

Yoroll

68,023 просмотров • 3 месяцев назад

Here's how I use BOTH Codex + Claude Code to vibe code games For my Final Fantasy Tactics game: → 1. GPT 5.4/5.3-Codex/5.2 → 2. Opus 4.6 → 3. Nano Banana 2 → 4. Playwright → Plans + AskUserQuestion → Queue + interrupt prompts → Auto test + bug fixing FULL workflow👇 00:00 Intro 02:07 Step 1: Game Overview 03:27 Step 2: Nano Banana 2 for Portraits 05:12 Step 3: GPT 5.2 / 5.4 for Planning 09:56 Step 4: AskUserQuestion in Codex 12:02 Step 5: Saving your plans and prompts 13:43 Step 6: GPT 5.3-Codex for Implementing 16:34 Step 7: Implementing Cutscenes 20:49 Step 8: LazyGit + Yazi - Staying in the terminal 22:46 Step 9: Reviewing the changes 23:49 Step 10: Steering Codex - Queued Prompts 25:36 Steo 11: Steering Codex - Interrupt Prompts 26:45 Steo 12: Claude Code and Opus 4.6 27:16 Step 13: xHigh Reasoning for Tricky Bugs 28:50 Step 14: Playwright for automated testing + fixes 30:56 Step 15: Claude Code Plan Mode Previews 32:56 Step 16: Steering Claude Code - Add Notes to Plans 35:05 Wrap-Up
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Here's how I use BOTH Codex + Claude Code to vibe code games For my Final Fantasy Tactics game: → 1. GPT 5.4/5.3-Codex/5.2 → 2. Opus 4.6 → 3. Nano Banana 2 → 4. Playwright → Plans + AskUserQuestion → Queue + interrupt prompts → Auto test + bug fixing FULL workflow👇 00:00 Intro 02:07 Step 1: Game Overview 03:27 Step 2: Nano Banana 2 for Portraits 05:12 Step 3: GPT 5.2 / 5.4 for Planning 09:56 Step 4: AskUserQuestion in Codex 12:02 Step 5: Saving your plans and prompts 13:43 Step 6: GPT 5.3-Codex for Implementing 16:34 Step 7: Implementing Cutscenes 20:49 Step 8: LazyGit + Yazi - Staying in the terminal 22:46 Step 9: Reviewing the changes 23:49 Step 10: Steering Codex - Queued Prompts 25:36 Steo 11: Steering Codex - Interrupt Prompts 26:45 Steo 12: Claude Code and Opus 4.6 27:16 Step 13: xHigh Reasoning for Tricky Bugs 28:50 Step 14: Playwright for automated testing + fixes 30:56 Step 15: Claude Code Plan Mode Previews 32:56 Step 16: Steering Claude Code - Add Notes to Plans 35:05 Wrap-Up

Chong-U

47,264 просмотров • 5 месяцев назад

I vibe coded a game called Aether Breach for my son today. Built the whole thing in about 2 hours using Cursor, Grok 4.5, and GPT Image 2.0. He gave it a try and really liked it. I just need to make Easy mode a bit more relaxed so he can make it to the later stages. The full game has DualSense support too. I published my WebHID DualSense npm package a few days ago, so adding controller support to new games is pretty straightforward now. Really happy with how it turned out.
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I vibe coded a game called Aether Breach for my son today. Built the whole thing in about 2 hours using Cursor, Grok 4.5, and GPT Image 2.0. He gave it a try and really liked it. I just need to make Easy mode a bit more relaxed so he can make it to the later stages. The full game has DualSense support too. I published my WebHID DualSense npm package a few days ago, so adding controller support to new games is pretty straightforward now. Really happy with how it turned out.

AshutoshShrivastava

115,948 просмотров • 17 дней назад

Sora 2 API + n8n is f*cking wild 🤯 This AI system generates unlimited UGC videos using n8n + the Sora 2 API. Fully automated. No watermarks. HD quality. Perfect for e-commerce brands & agencies who need to scale content without scaling costs. Most teams are still paying $10k+/month for influencer content... Meanwhile, with the Sora 2 API: One product photo → 50+ HD videos with no watermarks → full commercial rights → pennies per video. Here's how it works: → Upload a product image to n8n → Add your creative brief + select video length → Sora 2 API generates HD UGC automatically → Get unboxings, demos, lifestyle shots & product showcases → Videos ready instantly—no watermarks, no hassle Built 100% in n8n. Ready for production. Want the full n8n workflow? > Comment "SORA" + > like this post And I'll send it over (must be following so I can DM)
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Sora 2 API + n8n is f*cking wild 🤯 This AI system generates unlimited UGC videos using n8n + the Sora 2 API. Fully automated. No watermarks. HD quality. Perfect for e-commerce brands & agencies who need to scale content without scaling costs. Most teams are still paying $10k+/month for influencer content... Meanwhile, with the Sora 2 API: One product photo → 50+ HD videos with no watermarks → full commercial rights → pennies per video. Here's how it works: → Upload a product image to n8n → Add your creative brief + select video length → Sora 2 API generates HD UGC automatically → Get unboxings, demos, lifestyle shots & product showcases → Videos ready instantly—no watermarks, no hassle Built 100% in n8n. Ready for production. Want the full n8n workflow? > Comment "SORA" + > like this post And I'll send it over (must be following so I can DM)

Mike Futia

14,447 просмотров • 8 месяцев назад

Day 4 of Vibe Jam Here's a video of my FULL workflow from SCRATCH → From idea to working game → 2 x characters → 2 x levels → Combo system → Custom level editor → Polish & juice Phaser 4 + Codex + Claude Code Using skills from my vibe jam starter pack (link in reply)👇 If you are figuring out how to get started - this is the video for you! --- 00:00 Intro 01:31 Get the Vibe Jam Starter Pack 02:46 Step 1: Game Idea 04:39 Step 2: Game Assets 07:38 Step 3: Game Engine 08:39 Step 4: AI Tool 09:17 Step 5: Assets Index 11:31 Step 6: Basic Movement & Controls 13:37 Step 7: Game Loop / Mechanics 15:22 Step 8: Iterate and Extend on Foundations 17:28 Step 9: Polish & Juice 19:23 Step 10: Tooling & Level Editor 22:22 Wrap Up
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Day 4 of Vibe Jam Here's a video of my FULL workflow from SCRATCH → From idea to working game → 2 x characters → 2 x levels → Combo system → Custom level editor → Polish & juice Phaser 4 + Codex + Claude Code Using skills from my vibe jam starter pack (link in reply)👇 If you are figuring out how to get started - this is the video for you! --- 00:00 Intro 01:31 Get the Vibe Jam Starter Pack 02:46 Step 1: Game Idea 04:39 Step 2: Game Assets 07:38 Step 3: Game Engine 08:39 Step 4: AI Tool 09:17 Step 5: Assets Index 11:31 Step 6: Basic Movement & Controls 13:37 Step 7: Game Loop / Mechanics 15:22 Step 8: Iterate and Extend on Foundations 17:28 Step 9: Polish & Juice 19:23 Step 10: Tooling & Level Editor 22:22 Wrap Up

Chong-U

22,958 просмотров • 3 месяцев назад

Live now. Full step-by-step tutorial for getting REAL pixel art game sprites with AI No more MIXELS! > GPT Image 2.0 > Pixel Snapper by SpriteFusion > Codex w/ GPT 5.5 High > Phaser 4 Also how I solve other annoying bugs with AI generated sprites. Prompts + more in reply👇 00:00 Intro 01:24 Overview of what we're building 02:42 Pick any AI tool 04:29 Problem 1: Fake pixels or 'mixels' 04:53 Problem 2: Frame Bleeds 05:39 Problem 3: Frame Drifts 06:21 Step 1: Generate a reference image 07:53 Step 2: Pixel Snap to Anchor 13:02 Step 3: Generate West-facing anchor 14:45 Step 4: Pixel snap (again!) 15:46 Step 5: Generating animation spritesheets 19:27 Steo 6: Recovering Frames 20:25 Step 7: Curating Frames 21:33 Step 8: Pixel Snap Each Frame 22:08 Step 9: Anchoring Frames 23:40 Step 10: Normalise and combine 26:28 Wrap up
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Live now. Full step-by-step tutorial for getting REAL pixel art game sprites with AI No more MIXELS! > GPT Image 2.0 > Pixel Snapper by SpriteFusion > Codex w/ GPT 5.5 High > Phaser 4 Also how I solve other annoying bugs with AI generated sprites. Prompts + more in reply👇 00:00 Intro 01:24 Overview of what we're building 02:42 Pick any AI tool 04:29 Problem 1: Fake pixels or 'mixels' 04:53 Problem 2: Frame Bleeds 05:39 Problem 3: Frame Drifts 06:21 Step 1: Generate a reference image 07:53 Step 2: Pixel Snap to Anchor 13:02 Step 3: Generate West-facing anchor 14:45 Step 4: Pixel snap (again!) 15:46 Step 5: Generating animation spritesheets 19:27 Steo 6: Recovering Frames 20:25 Step 7: Curating Frames 21:33 Step 8: Pixel Snap Each Frame 22:08 Step 9: Anchoring Frames 23:40 Step 10: Normalise and combine 26:28 Wrap up

Chong-U

33,851 просмотров • 2 месяцев назад

This custom GPT writes Sora 2 prompts that actually work 🤯 Most people prompting Sora 2 are getting garbage output. The problem isn't Sora 2. It's your prompts. Here's what I figured out after generating 100+ UGC videos: Sora 2 needs hyper-specific instructions—shot composition, timing, camera movement, lighting, scene details. Most people prompt like this: "Make a UGC video of someone using my skincare product" And then wonder why the output looks like AI slop. What actually gets results: "9:16 vertical handheld shot, soft natural window lighting, female creator mid-20s in bathroom mirror holding [brand] serum at eye level, genuine testimonial energy, 0-3s hook showing application and subtle reaction, shallow depth of field, clean warm color grade" That's the gap between unusable content and scroll-stopping UGC. So I built a custom GPT that writes these prompts for you: → Tell it your product (supplement, skincare, SaaS, whatever) → It generates a detailed timeline-based Sora 2 prompt → Shot composition, camera angles, timing breakdowns—all included → Optimized for 9:16 TikTok/Reels format → Copy and paste directly into Sora 2 No guessing. No prompt engineering rabbit holes. No "why does this look terrible" frustration. Professional UGC prompts in 10 seconds. Want free access to the Sora 2 Prompt Generator GPT? > Comment "SORA" > Like this post And I'll send it over (must be following so I can DM)
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This custom GPT writes Sora 2 prompts that actually work 🤯 Most people prompting Sora 2 are getting garbage output. The problem isn't Sora 2. It's your prompts. Here's what I figured out after generating 100+ UGC videos: Sora 2 needs hyper-specific instructions—shot composition, timing, camera movement, lighting, scene details. Most people prompt like this: "Make a UGC video of someone using my skincare product" And then wonder why the output looks like AI slop. What actually gets results: "9:16 vertical handheld shot, soft natural window lighting, female creator mid-20s in bathroom mirror holding [brand] serum at eye level, genuine testimonial energy, 0-3s hook showing application and subtle reaction, shallow depth of field, clean warm color grade" That's the gap between unusable content and scroll-stopping UGC. So I built a custom GPT that writes these prompts for you: → Tell it your product (supplement, skincare, SaaS, whatever) → It generates a detailed timeline-based Sora 2 prompt → Shot composition, camera angles, timing breakdowns—all included → Optimized for 9:16 TikTok/Reels format → Copy and paste directly into Sora 2 No guessing. No prompt engineering rabbit holes. No "why does this look terrible" frustration. Professional UGC prompts in 10 seconds. Want free access to the Sora 2 Prompt Generator GPT? > Comment "SORA" > Like this post And I'll send it over (must be following so I can DM)

Mike Futia

13,341 просмотров • 7 месяцев назад

Here's a step-by-step video tutorial of how I vibe coded my point & click adventure game! → 1. Nano Banana Pro → 2. Meshy → 3. Codex 5.3 → 4. Capacitor This part 1 covers: → Generate 3D models → ThreeJS integration → Building for iOS Agent skills + prompts in reply! --- 00:00 Intro 01:40 What We'll Be Building 02:08 Step 1: Nano Banana Pro for Character Art 04:36 Step 2: Meshy for Image to 3D 09:51 Step 3: GLB Export 12:14 Step 4: ThreeJS Skill for GLB Index 15:56 Step 5: ThreeJS Skill for Scene 18:07 Step 6: CapacitorJS Skill for Mobile 19:41 Step 7: Build for iOS 21:06 Wrap Up
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Here's a step-by-step video tutorial of how I vibe coded my point & click adventure game! → 1. Nano Banana Pro → 2. Meshy → 3. Codex 5.3 → 4. Capacitor This part 1 covers: → Generate 3D models → ThreeJS integration → Building for iOS Agent skills + prompts in reply! --- 00:00 Intro 01:40 What We'll Be Building 02:08 Step 1: Nano Banana Pro for Character Art 04:36 Step 2: Meshy for Image to 3D 09:51 Step 3: GLB Export 12:14 Step 4: ThreeJS Skill for GLB Index 15:56 Step 5: ThreeJS Skill for Scene 18:07 Step 6: CapacitorJS Skill for Mobile 19:41 Step 7: Build for iOS 21:06 Wrap Up

Chong-U

105,101 просмотров • 5 месяцев назад

THIS GUY VIBE CODED A FULL CAPYBARA FOOD DELIVERY GAME IN 2 WEEKS WITH CLAUDE CODE you play as a capybara delivering food on a bike. orders stack on the back, you have a phone with apps in-game and the whole delivery system is realistic 2 weeks, zero game dev experience, and ENTIRELY AI generated the full stack: > claude code for all the code > three.js for the 3D engine > suno for original music > elevenlabs for sound effects and voice > GPT images-2 and grok for textures and illustrations > tripo3d for generating all the 3D assets the cinematics are all in-game too. he asked claude to build a cinematic editor with timeline controls, camera animation, and transitions. then he just placed the cameras himself his workflow was more planning than coding (obviously): > come up with the core mechanic > plan every feature using claude /plan mode > generate assets with AI tools > spend most of his time on the final polish, prop placement, and making the design feel right he said the human part is what most vibe coded games are missing. AI can generate everything but having taste for what looks good and what feels right is still on you the game is playable right now in the browser this is what vibe coding is actually capable of in the game dev space right now a year ago this would have taken a small team of developers, a sound designer, and an artist working together for months now one person with no experience can ship a polished playable game with story, music, and mechanics in 14 days the tools keep getting better and the barrier to making real games keeps getting lower
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THIS GUY VIBE CODED A FULL CAPYBARA FOOD DELIVERY GAME IN 2 WEEKS WITH CLAUDE CODE you play as a capybara delivering food on a bike. orders stack on the back, you have a phone with apps in-game and the whole delivery system is realistic 2 weeks, zero game dev experience, and ENTIRELY AI generated the full stack: > claude code for all the code > three.js for the 3D engine > suno for original music > elevenlabs for sound effects and voice > GPT images-2 and grok for textures and illustrations > tripo3d for generating all the 3D assets the cinematics are all in-game too. he asked claude to build a cinematic editor with timeline controls, camera animation, and transitions. then he just placed the cameras himself his workflow was more planning than coding (obviously): > come up with the core mechanic > plan every feature using claude /plan mode > generate assets with AI tools > spend most of his time on the final polish, prop placement, and making the design feel right he said the human part is what most vibe coded games are missing. AI can generate everything but having taste for what looks good and what feels right is still on you the game is playable right now in the browser this is what vibe coding is actually capable of in the game dev space right now a year ago this would have taken a small team of developers, a sound designer, and an artist working together for months now one person with no experience can ship a polished playable game with story, music, and mechanics in 14 days the tools keep getting better and the barrier to making real games keeps getting lower

Om Patel

241,259 просмотров • 3 месяцев назад

Looking for a BEGINNER-friendly gamedev vibe coding tutorial? I got you. Let's building this 2D pirate beat 'em up game from SCRATCH. → Codex App → GPT 5.5 → Images 2.0 → Phaser 4 → ElevenLabs Step-by-step... prompt-by-prompt... Starter project + resources in reply 👇 00:00 1. Intro 01:16 2. Project Structure 01:34 3. `public` folder 02:29 4. .Agent skills 03:00 5. Codex App 04:15 6. Running the game 05:32 7. Better Testing Setup 06:59 8. Generate Background Art 08:56 9. Use parallel sub-agents 10:22 10. Create an Asset Index 13:27 11. Adding the Pirate Player 15:58 12. Browser Testing in Codex 17:55 13. Add Skeleton Enemy 19:44 14. Collisions & Hitboxes 21:04 15. Adding Debug 22:12 16. Fixing Attack Frames 24:06 17. Fixing Hit Boxes and Bounds 26:10 18. Adding Health System & Bars 27:52 19. Game Over And Death Flow 28:46 20. Wave Progression System 31:38 21. Restarting The Game 33:49 22. Generated Sound & Music with AI 39:14 23. Adding juice and polish 41:54 Wrap Up
42:31

Looking for a BEGINNER-friendly gamedev vibe coding tutorial? I got you. Let's building this 2D pirate beat 'em up game from SCRATCH. → Codex App → GPT 5.5 → Images 2.0 → Phaser 4 → ElevenLabs Step-by-step... prompt-by-prompt... Starter project + resources in reply 👇 00:00 1. Intro 01:16 2. Project Structure 01:34 3. `public` folder 02:29 4. .Agent skills 03:00 5. Codex App 04:15 6. Running the game 05:32 7. Better Testing Setup 06:59 8. Generate Background Art 08:56 9. Use parallel sub-agents 10:22 10. Create an Asset Index 13:27 11. Adding the Pirate Player 15:58 12. Browser Testing in Codex 17:55 13. Add Skeleton Enemy 19:44 14. Collisions & Hitboxes 21:04 15. Adding Debug 22:12 16. Fixing Attack Frames 24:06 17. Fixing Hit Boxes and Bounds 26:10 18. Adding Health System & Bars 27:52 19. Game Over And Death Flow 28:46 20. Wave Progression System 31:38 21. Restarting The Game 33:49 22. Generated Sound & Music with AI 39:14 23. Adding juice and polish 41:54 Wrap Up

Chong-U

14,297 просмотров • 2 месяцев назад

Sora 2 API + n8n for UGC videos ... absolutely insane 🤯 this n8n workflow generates realistic influencer-style videos from just a product image. No watermark. Fully automated. (and I'm giving it away for free) Here's what this system does: → Analyzes your product image with AI vision → Creates the perfect influencer persona to promote it → Generates multiple UGC video scripts automatically → Uses OpenAI's Sora 2 to create realistic videos → Outputs videos ready for Instagram, TikTok, and Facebook The results? What used to take weeks and thousands of dollars now happens in minutes for under $5 per video. This isn't just about cutting costs – it's about scaling your creative production and driving your ROAS 50%+ higher due to on-demand, high-converting video content. Brands and agencies today spend $10,000+ per month hiring creators, shipping products, waiting weeks, and hoping for a few decent videos back. This changes the whole game for $1 per video. Want the full n8n template, all of the prompts, and a full step-by-step setup video? 1. Like & RT this post 2. Follow me (so I can dm you) 3. Comment "UGC" below I'll send you the entire system for free.
3:45

Sora 2 API + n8n for UGC videos ... absolutely insane 🤯 this n8n workflow generates realistic influencer-style videos from just a product image. No watermark. Fully automated. (and I'm giving it away for free) Here's what this system does: → Analyzes your product image with AI vision → Creates the perfect influencer persona to promote it → Generates multiple UGC video scripts automatically → Uses OpenAI's Sora 2 to create realistic videos → Outputs videos ready for Instagram, TikTok, and Facebook The results? What used to take weeks and thousands of dollars now happens in minutes for under $5 per video. This isn't just about cutting costs – it's about scaling your creative production and driving your ROAS 50%+ higher due to on-demand, high-converting video content. Brands and agencies today spend $10,000+ per month hiring creators, shipping products, waiting weeks, and hoping for a few decent videos back. This changes the whole game for $1 per video. Want the full n8n template, all of the prompts, and a full step-by-step setup video? 1. Like & RT this post 2. Follow me (so I can dm you) 3. Comment "UGC" below I'll send you the entire system for free.

David Roberts

137,937 просмотров • 9 месяцев назад

Only if education could be this interactive ❤️‍🔥 I've had a looong wish to build something genuinely useful through vibe coding, and I finally did it. A 3D human anatomy application built with Three.js using GPT 5.6 Sol. It all started with a single design image that I created using GPT Image 2.0. I then used it to generate every 3D organ image, one by one. Next, I converted each of those images into 3D models using Tripo (and no, they didn't sponsor this 😄). After that, I opened Codex, wrote a master prompt based on the design, and gave it the prompt, the design image, and all the 3D models. Codex built the first version beautifully, but there was one big problem. Every single 3D model was nearly 120-150 MB. That obviously wasn't practical for the web and was giving a performance of 16fps. After a few iterations, Codex optimized each model down to roughly 2–5.5 MB while preserving the visual quality, reducing the total asset size from ~900 MB to just 28.6 MB. And each model loads on demand. Along the way, Codex also generated those anatomical illustrations showing where each organ sits in the human body, and even created the interactive hotspot markers that explain different parts of every organ. It handled all of that. The process wasn't exactly one shot, but it also wasn't difficult. You just have to do it step by step. It genuinely felt like building something that could make learning anatomy much more engaging. The inspiration came from Dilum Sanjaya's 3D animal plant cell project. I remember seeing it and thinking, "I want to build something like this one day." And I did it :D Live: Code:
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Only if education could be this interactive ❤️‍🔥 I've had a looong wish to build something genuinely useful through vibe coding, and I finally did it. A 3D human anatomy application built with Three.js using GPT 5.6 Sol. It all started with a single design image that I created using GPT Image 2.0. I then used it to generate every 3D organ image, one by one. Next, I converted each of those images into 3D models using Tripo (and no, they didn't sponsor this 😄). After that, I opened Codex, wrote a master prompt based on the design, and gave it the prompt, the design image, and all the 3D models. Codex built the first version beautifully, but there was one big problem. Every single 3D model was nearly 120-150 MB. That obviously wasn't practical for the web and was giving a performance of 16fps. After a few iterations, Codex optimized each model down to roughly 2–5.5 MB while preserving the visual quality, reducing the total asset size from ~900 MB to just 28.6 MB. And each model loads on demand. Along the way, Codex also generated those anatomical illustrations showing where each organ sits in the human body, and even created the interactive hotspot markers that explain different parts of every organ. It handled all of that. The process wasn't exactly one shot, but it also wasn't difficult. You just have to do it step by step. It genuinely felt like building something that could make learning anatomy much more engaging. The inspiration came from Dilum Sanjaya's 3D animal plant cell project. I remember seeing it and thinking, "I want to build something like this one day." And I did it :D Live: Code:

The Bugged Dev

1,912,214 просмотров • 3 дней назад

CHINA JUST DROPPED AN AI CODING MODEL WITH A 1M CONTEXT WINDOW. And I connected it to Claude Code to see what it could actually do. Meet GLM-X Preview On paper, a few things immediately stood out: → 1M context window → Agentic coding capabilities → Works inside Claude Code → Designed for large-scale coding and reasoning workflows But specs don't matter much if the model can't deliver in practice. So I gave it a real-world task. THE TEST One prompt: > Build a modern AI lead generation dashboard using React and Tailwind CSS. Requirements: → Dark mode → Analytics dashboard → Lead table → Email outreach section → Responsive design → Production-ready component structure Instead of generating a few snippets, it planned the architecture, generated the dashboard components, created the Tailwind configuration, and walked through the implementation requirements. What impressed me most wasn't the code itself. It was how well it maintained context throughout the workflow. That's where a 1M context window starts becoming useful. Less time re-explaining requirements. Less context loss. More room for complex projects. The AI coding race is getting very interesting. And it's no longer just GPT, Claude, and Gemini competing for attention. Results from my test below 👇
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CHINA JUST DROPPED AN AI CODING MODEL WITH A 1M CONTEXT WINDOW. And I connected it to Claude Code to see what it could actually do. Meet GLM-X Preview On paper, a few things immediately stood out: → 1M context window → Agentic coding capabilities → Works inside Claude Code → Designed for large-scale coding and reasoning workflows But specs don't matter much if the model can't deliver in practice. So I gave it a real-world task. THE TEST One prompt: > Build a modern AI lead generation dashboard using React and Tailwind CSS. Requirements: → Dark mode → Analytics dashboard → Lead table → Email outreach section → Responsive design → Production-ready component structure Instead of generating a few snippets, it planned the architecture, generated the dashboard components, created the Tailwind configuration, and walked through the implementation requirements. What impressed me most wasn't the code itself. It was how well it maintained context throughout the workflow. That's where a 1M context window starts becoming useful. Less time re-explaining requirements. Less context loss. More room for complex projects. The AI coding race is getting very interesting. And it's no longer just GPT, Claude, and Gemini competing for attention. Results from my test below 👇

Md Riyazuddin

31,199 просмотров • 1 месяц назад

Here's the latest education curriculum I've created and I'm helping my kids with. 1). Reading (1.5-2 hours daily) - provide copious amount of books of interest, allow free choice, no coerced minimum reading time. Goal to foster love of reading and knowledge. 2). Tennis and Table Tennis (1.5-2.5 hours daily) - repetition via rallying, drills, form, games, streaks, competition, etc. Long-term tennis goal 10 UTR, long-term table tennis goal 2000 USTTA rating. 3). Math (30 minutes daily) - Kumon math (worksheets, corrections, tests). 4). Writing, spelling, drawing (30-60 minutes daily) - daily spelling tests, free writing time in writing journal, drawing time in drawing journal. 5). Second language (30 minutes daily) - Korean reading, pronunciation, vocabulary and sentences via native tutor Zoom call. 6). Piano (20-30 minutes daily) - practice piano, sight reading, rhythm, songs. 7). Games & Game Design (30-60 minutes daily) - play various video games for exposure and ideas, learn design, vibe coding games with AI. 8). Other - Taekwondo (wife started to teach kids), Golf (using golf simulator), singing (via wife), ChatGPT/AI (throughout day), Skateboarding.
0:50

Here's the latest education curriculum I've created and I'm helping my kids with. 1). Reading (1.5-2 hours daily) - provide copious amount of books of interest, allow free choice, no coerced minimum reading time. Goal to foster love of reading and knowledge. 2). Tennis and Table Tennis (1.5-2.5 hours daily) - repetition via rallying, drills, form, games, streaks, competition, etc. Long-term tennis goal 10 UTR, long-term table tennis goal 2000 USTTA rating. 3). Math (30 minutes daily) - Kumon math (worksheets, corrections, tests). 4). Writing, spelling, drawing (30-60 minutes daily) - daily spelling tests, free writing time in writing journal, drawing time in drawing journal. 5). Second language (30 minutes daily) - Korean reading, pronunciation, vocabulary and sentences via native tutor Zoom call. 6). Piano (20-30 minutes daily) - practice piano, sight reading, rhythm, songs. 7). Games & Game Design (30-60 minutes daily) - play various video games for exposure and ideas, learn design, vibe coding games with AI. 8). Other - Taekwondo (wife started to teach kids), Golf (using golf simulator), singing (via wife), ChatGPT/AI (throughout day), Skateboarding.

Dave Lee

157,749 просмотров • 1 год назад

THE WAY YOU LOOK AT AI GAME DEVELOPMENT WILL CHANGE AFTER YOU WATCH THIS VIDEO "The AI Slop is Coming for Games." That's right. Introducing... Slopet League Everything you see here was built by Opus 5 and GPT 5.6 Sol in _____🤫. This is not an html page, it is a functional game with a fair bit of polish working inside a real game engine. This has to be some kind of trick. NO. It downloaded a map. NO. Imported assets. Only the Octane meshes, I have other cars that were generated that look just as good. The balls, the map, the effects, the physics, animations, etc were all generated from scratch by Opus 5. GPT 5.6 Sol handled the car meshes. This is only the beginning. I made this in about a day and a half, and most of that time I was waiting on Opus to finish generation. Maybe 25 prompts. I will share my process, and many photos, proofs, evidence of this as we go. This is just a taste, I'm extremely busy this week and working on real life stuff so I'm not going to put any more time into this until next week, but believe me I'm gonna polish this into something beautiful. If you're interested, please share, bookmark, follow, and comment below. I want the world to see just how powerful the language models are TODAY. It's only going to get better from here. Buckle up folks. Oh, and What a save!
1:39

THE WAY YOU LOOK AT AI GAME DEVELOPMENT WILL CHANGE AFTER YOU WATCH THIS VIDEO "The AI Slop is Coming for Games." That's right. Introducing... Slopet League Everything you see here was built by Opus 5 and GPT 5.6 Sol in _____🤫. This is not an html page, it is a functional game with a fair bit of polish working inside a real game engine. This has to be some kind of trick. NO. It downloaded a map. NO. Imported assets. Only the Octane meshes, I have other cars that were generated that look just as good. The balls, the map, the effects, the physics, animations, etc were all generated from scratch by Opus 5. GPT 5.6 Sol handled the car meshes. This is only the beginning. I made this in about a day and a half, and most of that time I was waiting on Opus to finish generation. Maybe 25 prompts. I will share my process, and many photos, proofs, evidence of this as we go. This is just a taste, I'm extremely busy this week and working on real life stuff so I'm not going to put any more time into this until next week, but believe me I'm gonna polish this into something beautiful. If you're interested, please share, bookmark, follow, and comment below. I want the world to see just how powerful the language models are TODAY. It's only going to get better from here. Buckle up folks. Oh, and What a save!

am.will

129,155 просмотров • 8 дней назад