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Snake · deepseek-v4-pro

Build a playable Snake game on a canvas with arrow-key controls, a growing tail, food, score, and a game-over and restart state.

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transcript · 4 messages
user

Build a playable Snake game on a canvas with arrow-key controls, a growing tail, food, score, and a game-over and restart state.

assistant
thinking
The user wants me to build a playable Snake game as a single-page web app in one self-contained `index.html` file. Let me create a complete Snake game with:

- Canvas rendering
- Arrow key controls
- Growing tail
- Food
- Score display
- Game-over state
- Restart functionality

I'll write this directly to `/workspace/index.html`.
write /workspace/index.html (13727 bytes)
toolResult

Successfully wrote 13727 bytes to /workspace/index.html

assistant
thinking
The file has been written. Let me verify it's there and give a summary.

Done. Here's what's in `/workspace/index.html`: **Snake Game** — 20×20 grid, fully self-contained single-file HTML. **Features:** - **Arrow keys + WASD** controls with direction queuing (prevents reversal into yourself) - **Growing tail** — eat the glowing red food pellets to grow by one segment and gain 10 points - **Speed ramp** — the snake speeds up slightly every 50 points (down to a floor of 45ms/tick) - **Score + high score** — high score persists in `localStorage` - **Game over** on wall or self-collision, with overlay showing final score - **Pause** with the **P** key (or click the overlay to resume) - **Play Again** button or click overlay to restart - **Touch/swipe support** for mobile - Subtle grid lines, gradient snake body (head is bright green with eyes that follow direction), food has a radial glow + specular highlight

TAKE IT TO CODE

A single self-contained HTML file — copy it and open in any browser, or reuse the prompt with your own pi-agent run.

RUN

modeldeepseek-v4-pro
vendorDeepSeek
harnesspi-agent
generated2026-07-08

EVALUATION

2/5 partial

Snake game shows start and instant game-over screens, but gameplay never actually renders in any captured frame.

Vision grade · anthropic/claude-sonnet-5

MEASUREMENTS

Raw readings from the capture, not a verdict — the grade above is the only judgement. Percentages are how much of the screen changed; the measure under-reports sparse motion on a dark background.

idle motion0.0%
on click2.0%
on drag1.7%
on wheel0.0%
on enter + space0.0%
on arrow keys0.0%
on w/a/s/d0.0%
frame spread17.7 / 255
console errors0
js errors none

METRICS

runtime69.7s
tokens in4.7k
tokens out4.8k
cached3.1k
cost / run$0.0062