Optimize algorithm implementations

When implementing algorithms, ensure they are both efficient and correct across all input cases. Key considerations:

1. Pattern matching edge cases: Ensure regex patterns handle all edge cases, including matches at the beginning of strings. For example, replace /[^\\][^\n]+/ with /(?:^

   [^\])[^\n]+/ to catch backticks at string start.

2. Algorithmic complexity: Prevent potential denial-of-service vulnerabilities by analyzing time complexity of algorithms, especially regular expressions on user input. For example, avoid patterns like /^\[([^\]]*)\]\s*(.*)$/ that can cause performance issues with certain inputs.

3. False positive prevention: Configure pattern detection algorithms to avoid false matches. Start pattern searches from length 2 instead of 1 to prevent single repeated elements from being incorrectly identified as patterns:

   // Instead of:
   for (let patternLength = 1; patternLength <= maxPatternLength; patternLength++) {
   // Use:
   for (let patternLength = 2; patternLength <= maxPatternLength; patternLength++) {
   

4. Precise matching: For keyword detection, use word boundaries instead of simple substring matching to improve accuracy:

   // Instead of:
   return keywords.some((keyword) => text.includes(keyword))
   // Use:
   return keywords.some((keyword) => new RegExp(`\\b${keyword}\\b`).test(text))
   

Following these practices helps create algorithms that are not only computationally efficient but also robust against edge cases and potential security exploits.