Vibecosystem experiment-engine

Otonom deney dongusu. Kod degisikligi yap, olc, karsilastir, kabul et veya geri al. Metrik bazli karar verme ile performans, boyut veya kalite optimizasyonu. Tek basina veya agent ile kullan.

install
source · Clone the upstream repo
git clone https://github.com/vibeeval/vibecosystem
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/vibeeval/vibecosystem "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/experiment-engine" ~/.claude/skills/vibeeval-vibecosystem-experiment-engine && rm -rf "$T"
manifest: skills/experiment-engine/SKILL.md
source content

Experiment Engine

Bir hedef belirle, sistematik olarak deneyler yap, sadece iyilestirenleri tut.

Core Loop

HEDEF BELIRLE
  └─ "API response time'i %20 dusur"
  └─ "Bundle size'i 500KB'nin altina getir"
  └─ "Test coverage'i %90'a cikar"

BASELINE OLC
  └─ Mevcut metrigi kaydet (ornek: 340ms, 720KB, %78)

DENEY DONGUSU (N kez tekrarla):
  ┌─────────────────────────────────────┐
  │ 1. MODIFY  - Tek degisiklik yap    │
  │ 2. VERIFY  - Metrigi olc           │
  │ 3. COMPARE - Baseline ile kiyasla  │
  │ 4. DECIDE  - Kabul / Reddet        │
  │    ├─ Iyilesti → COMMIT + yeni     │
  │    │             baseline           │
  │    └─ Kotulesti → ROLLBACK         │
  └─────────────────────────────────────┘

RAPOR OLUSTUR
  └─ N deney, X kabul, Y red, final metrik

Kullanim Alanlari

Performans Optimizasyonu

# Hedef: API response time < 200ms
# Baseline: 340ms

# Deney 1: Database query'ye index ekle
git stash  # mevcut durumu kaydet
# ... index ekle ...
curl -w "%{time_total}" http://localhost:3000/api/users  # 280ms
# 340ms -> 280ms = IYILESTI → COMMIT

# Deney 2: Response'u cache'le
# ... Redis cache ekle ...
curl -w "%{time_total}" http://localhost:3000/api/users  # 45ms
# 280ms -> 45ms = IYILESTI → COMMIT

# Deney 3: JSON serializer degistir
# ... fast-json-stringify ekle ...
curl -w "%{time_total}" http://localhost:3000/api/users  # 42ms
# 45ms -> 42ms = MINIMAL IYILESME → REDDET (karmasiklik artmaya degmez)

# Sonuc: 340ms -> 45ms (%87 iyilesme), 2/3 deney kabul edildi

Bundle Size Azaltma

# Hedef: < 500KB
# Baseline olc
BASELINE=$(npx next build 2>&1 | grep "First Load JS" | awk '{print $4}')

# Deney dongusu
experiments=(
  "lodash yerine lodash-es"
  "moment yerine dayjs"
  "tree-shaking acik mi kontrol"
  "dynamic import lazy component'ler"
  "image optimize (next/image)"
)

for exp in "${experiments[@]}"; do
  echo "=== Deney: $exp ==="
  # degisiklik yap...
  NEW=$(npx next build 2>&1 | grep "First Load JS" | awk '{print $4}')
  if [ "$NEW" -lt "$BASELINE" ]; then
    echo "KABUL: $BASELINE -> $NEW"
    BASELINE=$NEW
    git add -A && git stash  # kaydet
  else
    echo "RED: $NEW >= $BASELINE"
    git checkout .  # geri al
  fi
done

Test Coverage Artirma

# Hedef: %90 coverage
# Baseline
BASELINE=$(npx jest --coverage --silent 2>&1 | grep "All files" | awk '{print $4}')

# Her dosya icin test yaz, coverage'i olc
for file in $(find src -name "*.ts" -not -name "*.test.*"); do
  echo "=== Test: $file ==="
  # test yaz...
  NEW=$(npx jest --coverage --silent 2>&1 | grep "All files" | awk '{print $4}')
  if (( $(echo "$NEW > $BASELINE" | bc -l) )); then
    echo "KABUL: %$BASELINE -> %$NEW"
    BASELINE=$NEW
  fi
done

Deney Protokolu

Tek Degisiklik Kurali

YANLIS: Ayni anda 3 sey degistirip "daha hizli oldu" demek
  → Hangi degisiklik etkili oldugunu bilemezsin

DOGRU: Her seferinde TEK degisiklik yap
  → Neyin ise yaradigini kesin bilirsin

Rollback Stratejisi

# Yontem 1: git stash (basit)
git stash         # deney oncesi
# ... deney ...
git stash pop     # basarisizsa geri al

# Yontem 2: git worktree (izole)
git worktree add /tmp/experiment-1 -b exp/perf-test
cd /tmp/experiment-1
# ... deney ...
# basarisizsa worktree'yi sil

# Yontem 3: checkpoint (karmasik deneyler)
git add -A && git commit -m "checkpoint: pre-experiment"
# ... deney ...
# basarisizsa: git reset --hard HEAD~1

Metrik Toplama

interface ExperimentResult {
  id: string
  description: string
  baseline: number
  result: number
  improvement: number  // yuzde
  accepted: boolean
  duration: number     // saniye
  timestamp: string
}

// Deney raporu
interface ExperimentReport {
  goal: string
  metric: string
  baselineValue: number
  finalValue: number
  totalExperiments: number
  accepted: number
  rejected: number
  totalImprovement: number  // yuzde
  experiments: ExperimentResult[]
}

Deney Sablonu

# Deney Raporu: [Hedef]

## Ozet
- Hedef: [metrik] < [esik]
- Baseline: [baslangic degeri]
- Final: [son deger]
- Iyilesme: [yuzde]
- Deneyler: [kabul]/[toplam]

## Deneyler

| # | Aciklama | Onceki | Sonraki | Degisim | Karar |
|---|----------|-------:|--------:|--------:|-------|
| 1 | Index ekle | 340ms | 280ms | -18% | KABUL |
| 2 | Redis cache | 280ms | 45ms | -84% | KABUL |
| 3 | JSON serializer | 45ms | 42ms | -7% | RED |

## Ogrenim
- En etkili: Redis cache (-84%)
- Degmez: JSON serializer degisimi (karmasiklik > kazanim)

Otomatik Deney Modu

# experiment-loop.sh
# Kullanim: ./experiment-loop.sh "response_time" "200" "ms" 10

METRIC=$1       # olculecek metrik
TARGET=$2       # hedef deger
UNIT=$3         # birim
MAX_ROUNDS=$4   # max deney sayisi

ROUND=0
BASELINE=$(measure_$METRIC)

while [ $ROUND -lt $MAX_ROUNDS ]; do
  ROUND=$((ROUND + 1))

  # Claude'a optimize ettir
  claude -p "Optimize $METRIC. Current: ${BASELINE}${UNIT}. Target: <${TARGET}${UNIT}. Make ONE small change." --no-input

  # Olc
  NEW=$(measure_$METRIC)

  if [ "$NEW" -lt "$BASELINE" ]; then
    echo "Round $ROUND: KABUL ($BASELINE -> $NEW)"
    BASELINE=$NEW
    git add -A && git commit -m "experiment: $METRIC improved to ${NEW}${UNIT}"
  else
    echo "Round $ROUND: RED ($NEW >= $BASELINE)"
    git checkout .
  fi

  # Hedefe ulastik mi?
  if [ "$BASELINE" -le "$TARGET" ]; then
    echo "HEDEF ULASILDI: ${BASELINE}${UNIT} <= ${TARGET}${UNIT}"
    break
  fi
done

vibecosystem Entegrasyonu

  • profiler agent: Performans deneylerinde metrik toplama
  • nitro agent: Optimization deneylerini yonetme
  • tdd-guide agent: Coverage deneylerinde test yazma
  • verifier agent: Her deney sonrasi build/test dogrulama
  • self-learner agent: Basarili deneyleri pattern olarak kaydet
  • experiment-loop skill: Bu skill'in mevcut complementary'si