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NAAb Pivot

CI Version License: MIT NAAb PRs Welcome Discussions

Polyglot code evolution and optimization platform built on the NAAb Language. Automatically analyze slow code, generate optimized versions in compiled languages, and prove correctness with statistical parity validation.

Input:  Slow Python/Ruby/JS code
Output: Fast Go/Rust/C++ code + Mathematical proof of correctness
Result: 3-60x speedup with 99.99% confidence

Why NAAb Pivot?

  • Automatic optimization — AST-based analysis detects hotspots automatically
  • 8 target languages — Go, C++, Rust, Ruby, JS, PHP, Zig, Julia
  • Proven correctness — Statistical parity validation (99.99% confidence, 100+ test cases)
  • Real-world speedups — 3-60x faster, 70-96% memory reduction
  • Incremental migration — Optimize critical paths, leave the rest unchanged
  • Web dashboard — Interactive performance visualization

Demo

See NAAb Pivot optimizing Python code to Go with proven performance improvements:

Step 1: Slow Python Code

CPU-intensive computation running slowly in Python:

Step 1 - Slow Python Code

Step 6: Performance Comparison 🚀

Visual benchmark showing the dramatic speedup:

Step 6 - Performance Results

Results:

  • Python: 2,843 ms (baseline)
  • Go: 812 ms (optimized)
  • Speedup: 3.5x faster
  • Memory: 72% reduction
  • Correctness: ✓ Parity CERTIFIED (99.99% confidence, 100 test cases)

Pivot achieved:

  • Automatic hotspot detection
  • Python → Go code generation
  • Mathematical correctness proof (99.99%)
  • 3.5x performance improvement

Try the demo yourself:

cd demos
./pivot-demo.sh

See DEMO_GUIDE.md for recording instructions.


Quick Start

# Clone with NAAb submodule
git clone --recursive https://github.com/b-macker/naab-pivot.git
cd naab-pivot

# Build NAAb language
bash build.sh

# Analyze slow code
./naab/build/naab-lang pivot.naab analyze slow.py

# Full evolution pipeline
./naab/build/naab-lang pivot.naab evolve slow.py --profile balanced

Example: Python → Go (3.5x faster)

Input (slow.py):

def heavy_computation(n):
    result = 0.0
    for i in range(n):
        result += (i ** 2) ** 0.5
    return result

# Baseline: 2843ms for n=10,000,000

Run Pivot:

./naab/build/naab-lang pivot.naab evolve slow.py

Output:

✓ Analysis complete: 1 function detected (complexity: 8)
✓ Generated optimized Go version
✓ Parity CERTIFIED (99.99% confidence, 100 test cases)
✓ Performance: 812ms (3.5x faster)

Generated Go code:

package main
import ("fmt"; "math"; "os"; "strconv")

func heavyComputation(n int) float64 {
    result := 0.0
    for i := 0; i < n; i++ {
        result += math.Sqrt(math.Pow(float64(i), 2))
    }
    return result
}

func main() {
    // Auto-generated vessel code...
}

Examples

10 real-world examples with proven performance improvements:

Example Speedup Description
01. Basic Evolution 3.5x Python → Go loop optimization
02. Batch Processing 10x Python → Rust ETL pipeline
03. ML Optimization 15x Python → C++ inference
04. Web Backend 8x Python → Go API (12K req/s)
05. Crypto Mining 18x Python → Rust+SIMD
06. Data Pipeline 10x Python → C++ analytics
07. Scientific Computing 60x Python → Julia+GPU
08. Embedded System 15x Python → Zig (96% less memory)
09. Incremental Migration N/A 156K LOC enterprise guide
10. Polyglot Microservices 7.1x Mixed stack ($1,800/mo savings)

See examples/ for complete code and benchmarks.


Features

Core Pipeline

  • Analyze — Multi-language AST-based code analyzer
  • Synthesize — Template-based code generator with caching
  • Validate — Statistical parity validator (99.99% confidence)
  • Benchmark — Performance tracking with regression detection
  • Migrate — Incremental migration helper for large codebases

Optimization Profiles

ultra-safe conservative balanced aggressive experimental minimal embedded wasm

Templates (8 languages)

go cpp rust ruby javascript php zig julia

Plugins (9 built-in)

  • Analyzers: ML detector, crypto detector, I/O detector
  • Synthesizers: SIMD optimizer, GPU optimizer, parallel optimizer
  • Validators: Fuzzer, property checker, formal verifier

Reports (5 formats)

JSON HTML CSV SARIF Markdown


GitHub Action

Use NAAb Pivot in your CI/CD pipeline:

name: Optimize Performance

on: [push, pull_request]

jobs:
  evolve:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3

      - uses: b-macker/naab-pivot@v1
        with:
          file: src/critical_path.py
          profile: balanced
          validate: true

      - name: Check Results
        run: cat vessels/benchmark-report.json

Documentation


Architecture

Source Code (Python/Ruby/JS)
    |
Analyzer (AST parsing, complexity analysis)
    |
Synthesizer (template-based code generation)
    |
Compiler (parallel builds with caching)
    |
Validator (statistical parity testing)
    |
Benchmark (performance tracking)
    |
Report (JSON/HTML/CSV/SARIF/Markdown)
  • 134+ files created
  • ~28,000 lines of code
  • 46 commits (100% governance compliance)
  • 17/17 tests passing
  • 10 proven examples
  • 22 documentation files

NAAb Ecosystem

NAAb Pivot is part of the NAAb ecosystem:

  • NAAb Language — Core polyglot scripting language with governance
  • NAAb BOLO — Code governance & AI validation (50+ checks)
  • NAAb Pivot (this project) — Code evolution & optimization (3-60x speedups)
  • NAAb Passage — Data gateway & PII protection (zero leakage)

Contributing

Contributions are welcome! See CONTRIBUTING.md for build instructions and guidelines.

Areas for Contribution

  • Additional target languages (V, Nim, Crystal, Mojo, Odin)
  • Performance optimizations
  • New optimization profiles
  • IDE integrations
  • Package manager support

License

MIT License - see LICENSE for details.

Brandon Mackert - @b-macker


NAAb Pivot — Polyglot evolution made simple.