YousefNabil-SOC Autoresearch — Autonomous Optimization
Inspired by iterative research methodology. Apply to ANY task with a measurable metric.
Core Loop
1. Define GOAL (what you want to achieve)
2. Define METRIC (how you measure success)
3. Define DIRECTION (higher is better / lower is better)
4. Define VERIFY (how to check the metric)
REPEAT:
a. Make ONE modification
b. Measure the metric
c. If improved: KEEP the change
d. If worsened: DISCARD (revert)
e. Log the attempt and result
f. Choose next modification
UNTIL: goal is met OR no more improvements found
Example Applications
Performance optimization
- Goal: Page load under 2 seconds
- Metric: Lighthouse performance score
- Direction: Higher is better
- Verify: Run Lighthouse audit
Bundle size reduction
- Goal: Main bundle under 200KB
- Metric: Bundle size in KB
- Direction: Lower is better
- Verify: Run build and check output
Test coverage
- Goal: 80%+ code coverage
- Metric: Coverage percentage
- Direction: Higher is better
- Verify: Run test suite with coverage
SEO score
- Goal: All pages score 90+
- Metric: SEO audit score
- Direction: Higher is better
- Verify: Run SEO analysis tool
Rules
- ONE change per iteration (isolate variables)
- ALWAYS measure before and after
- ALWAYS revert failed attempts (no accumulating debt)
- LOG every attempt for learning
- STOP when goal is met or 3 consecutive iterations show no improvement