Table Tennis Element Clash Project Report
1. The Concept
Table Tennis Element Clash is a lightweight, browser-based arcade table tennis game built entirely with HTML5, Vanilla CSS, and JavaScript. The project combines fast-paced racket gameplay with an original fantasy theme where players travel through elemental arenas, defeat increasingly skilled opponents, and unlock new stages.
I chose a table tennis game for this one-day sprint because it is an excellent challenge for testing a multi-AI development workflow. Unlike simple utilities, a sports game requires responsive input handling, physics simulation, AI behavior, rendering, animation, state management, progression systems, and polished user experience—all within a single-page application.
The goal was not only to create a playable game, but also to evaluate how effectively AI could plan, generate, debug, and iterate on a complete browser game under a strict one-day deadline.
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2. The Stack
The Stack: HTML5, Vanilla CSS, and Vanilla JavaScript.
The AI Assist: ChatGPT handled the complete project planning, gameplay architecture, UI/UX brainstorming, feature prioritization, debugging strategies, and technical handoff documentation. OpenAI Codex was then used for the implementation phase, translating the planning documents into functional source code while repeatedly refining gameplay systems through iterative prompting and testing.
No frameworks, build systems, or external game engines were used throughout development.
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3. The 1 Day Sprint
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Morning (Hours 1–3)
We began by exploring several browser game ideas before deciding on a first-person table tennis game. The early planning phase focused on defining the gameplay loop, tournament progression, AI difficulty, racket controls, physics behavior, and overall project structure.
ChatGPT generated a detailed development roadmap, separated the project into manageable components, and created implementation instructions that Codex could follow during coding.
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Afternoon (Hours 4–6)
The implementation phase proved significantly more challenging than expected.
Codex successfully generated the initial game structure, menu system, tournament progression, save system, and gameplay framework. However, the first playable version exposed numerous gameplay issues:
- Ball physics felt inconsistent.
- Paddle movement was delayed and jittery.
- AI reacted unnaturally.
- Collision detection occasionally failed.
- Fast shots passed through paddles.
- UI layouts frequently broke across different screen sizes.
- Browser compatibility problems appeared between Firefox and Chromium browsers.
Much of the afternoon was spent iterating on gameplay responsiveness, improving the rendering pipeline, redesigning menus, rebuilding the loading screen, polishing responsiveness, and repeatedly testing tournament progression.
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The Finish Line (Hours 7–8)
The final hours focused almost entirely on quality assurance.
Gameplay mechanics were refined to provide smoother racket movement and more predictable rallies. The interface received several visual redesigns to create a cleaner premium appearance, while the tournament progression system, loading screen, responsive layouts, and save logic were thoroughly tested.
Although several advanced gameplay improvements remained on the roadmap, the project reached a stable and fully playable state within the one-day development window.
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4. The Roadblocks
Roadblocks:
The biggest challenge was translating high-level gameplay concepts into reliable browser physics.
Unlike utility applications, a sports game depends heavily on timing, animation, collision accuracy, and player responsiveness. While ChatGPT generated comprehensive planning documents, Codex occasionally interpreted gameplay requirements differently than intended, resulting in multiple iterations before achieving acceptable behavior.
Major development challenges included:
- Responsive paddle movement feeling disconnected from mouse input.
- Ball collisions occasionally missing during high-speed rallies.
- AI movement appearing robotic instead of human.
- Progression occasionally failing to unlock the next stage.
- Responsive UI layouts breaking on smaller screens.
- Emoji flag rendering behaving differently across browsers.
- Maintaining gameplay consistency between different refresh rates (60Hz, 120Hz, and higher).
Because of the limited development time, priorities shifted toward ensuring stable gameplay and tournament progression before pursuing additional visual polish.
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5. Key Takeaways
**What worked best?
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The planning phase was exceptionally effective.
ChatGPT rapidly transformed a rough game idea into a structured development plan covering gameplay architecture, UI hierarchy, progression systems, AI behavior, collision handling, and responsive design. This significantly reduced the amount of manual planning typically required before coding.
The iterative workflow between planning, testing, and refinement also accelerated debugging by quickly identifying gameplay problems and proposing targeted improvements.
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**What worked worst?
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The most difficult aspect was achieving polished gameplay feel through AI-generated code.
While Codex efficiently produced functional systems, responsive controls, realistic physics, and satisfying game feel required extensive manual prompt refinement and repeated testing. Small gameplay issues—such as paddle latency, collision timing, or AI reactions—often required multiple iterations before behaving naturally.
Browser compatibility and responsive interface adjustments also demanded considerably more attention than originally anticipated.
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My Final Thought
If I had one more day, I would focus entirely on gameplay polish rather than adding new features. My priorities would include implementing more advanced physics simulation, improved opponent intelligence, higher-quality visual effects, richer sound design, animated environments, and additional gameplay modes.
If I were to restart this project from scratch, I would spend more time defining gameplay architecture before implementation and reduce the number of AI handoff iterations. While the multi-AI workflow dramatically accelerated development, gameplay-heavy projects still benefit from continuous testing and frequent refinement throughout the implementation process.