name: ai-opponent description: Implement or tune AI opponent behavior argument-hint: "[difficulty: easy|medium|hard]" allowed-tools:

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• Bash model: sonnet

AI Opponent Implementation

Help implement or tune AI opponent logic per the game design.

AI Strategy (from design doc)

func chooseAcceleration(racer: Player, track: Track, opponents: [Player]) -> GridVector {
    var bestScore = Int.min
    var bestAccel = GridVector(0, 0)

    for acceleration in allAccelerations {
        let newPos = racer.position + racer.velocity + acceleration
        let newVel = racer.velocity + acceleration

        if wouldCrash(from: racer.position, to: newPos, track: track) {
            score = -1000
        } else {
            score = progressTowardFinish(newPos, track.finishLine)
            score -= distanceToTrackCenter(newPos, track) * 0.1
            score -= speed(newVel) * 0.05  // Prefer control
        }

        if score > bestScore {
            bestScore = score
            bestAccel = acceleration
        }
    }
    return bestAccel
}

Difficulty Levels

Implementation Tasks

1. Basic AI: Avoid crashes, prefer forward progress
2. Path scoring: Evaluate each of 9 options
3. Lookahead: Simulate N turns ahead (Hard mode)
4. Opponent awareness: Block or avoid collisions
5. Track awareness: Prefer center of track

Testing

• AI should never choose crash moves when safe options exist
• Easy AI should lose to competent player
• Hard AI should provide challenge