⚡ Performance Optimization in TuskLang Ruby SDK

"We don't bow to any king" – Speed is your birthright.

TuskLang for Ruby empowers you to build lightning-fast, dynamic configurations that scale with your application. Whether you're optimizing Rails, Jekyll, or DevOps pipelines, these tools and patterns will help you squeeze every drop of performance from your TuskLang-powered systems.

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🚀 Why Performance Matters in TuskLang

- Dynamic logic: Configs can include logic, operators, and embedded functions (FUJSEN) - Real-time evaluation: Performance impacts app startup, request handling, and build times - Scalability: Efficient configs scale better in distributed systems

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🏎️ Core Performance Features

1. Caching with @cache Operator

Reduce redundant computation by caching expensive results:

[api]
cached_data: @cache("5m", @http("GET", "https://api.example.com/data"))

Ruby Usage:

require 'tusk_lang'
config = TuskLang::TSK.from_file('config.tsk')
data = config.get_value('api', 'cached_data')

2. Lazy Evaluation

Only compute values when needed:

[settings]
lazy_value: @if($debug_mode, @expensive_op(), "")

3. FUJSEN Function Optimization

Write efficient JS for embedded logic:

[math]
fast_sum_fujsen: """
function fast_sum(arr) {
  let sum = 0;
  for (let i = 0; i < arr.length; i++) sum += arr[i];
  return sum;
}
"""

Ruby Usage:

sum = config.execute_fujsen('math', 'fast_sum', [1,2,3,4,5])

4. Operator Short-Circuiting

Use logical operators to avoid unnecessary work:

[logic]
result: @if(@env("SKIP_HEAVY") == "true", "skipped", @heavy_op())

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🚂 Rails & Jekyll Integration

Rails: Boot-Time Optimization

- Preload and cache TSK configs at boot - Use Rails.cache for cross-request caching

Rails.application.config.to_prepare do
  $tsk_config ||= TuskLang::TSK.from_file('config/app.tsk')
end

Jekyll: Build-Time Optimization

- Cache expensive config computations during site build - Use @cache for API calls and data generation

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🧩 Advanced Patterns

1. Batched Operations

Batch expensive operations in FUJSEN or Ruby:

[batch]
batch_fujsen: """
function batchProcess(items) {
  return items.map(item => process(item));
}
"""

2. Parallel Processing

Use Ruby threads or background jobs for heavy config tasks:

threads = [1,2,3].map do |i|
  Thread.new { config.execute_fujsen('batch', 'batchProcess', data[i]) }
end
results = threads.map(&:value)

3. Profiling and Benchmarking

Profile config evaluation with Ruby's Benchmark module:

require 'benchmark'
time = Benchmark.realtime do
  config.get_value('api', 'cached_data')
end
puts "Config fetch took #{time} seconds"

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🚨 Troubleshooting

- Slow config loads? Profile with Benchmark, use @cache, and optimize FUJSEN - Memory bloat? Avoid large in-memory configs, use lazy evaluation - API bottlenecks? Cache all remote calls

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⚡ Performance & Security Notes

- Performance: Use @cache and lazy evaluation for all expensive operations - Security: Never cache secrets or sensitive data - Best Practice: Profile regularly and optimize FUJSEN logic

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🏆 Best Practices

- Cache aggressively, but invalidate wisely - Profile both Ruby and FUJSEN logic - Use environment checks to skip heavy work in dev/test - Document all performance patterns for your team

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Master performance in TuskLang Ruby and build systems that fly. ⚡