Build, Visualize & Benchmark Catastrophic-Backtracking-Safe Regular Expressions with AI
Stop guessing cryptic regex syntax or accidentally shipping ReDoS vulnerabilities that freeze production CPUs. Give AI positive and negative text samples to generate named-capture regexes, visual token breakdowns and edge-case test suites.
Both Cloudflare and StackOverflow have suffered major global outages caused by a single catastrophic-backtracking regex. Generating named groups with ReDoS safety checks keeps text parsing fast and readable.
Step-by-Step Action Checklist
0 / 4 CompletedAct as a Regular Expression & Compiler Security Expert. Target regex engine: [JavaScript / Python `re` / Go `regexp` / PCRE2]. - **Positive samples & fields to extract**: [Paste 3-5 real strings] - **Negative samples that MUST NOT match**: [Paste 2-3 edge cases] Deliver: 1) [Production Regex]: Use Named Capture Groups `(?<name>...)` in both compact one-line and commented multi-line (`x` flag) formats; 2) [Token-by-Token Visual Breakdown Table]; 3) [ReDoS Backtracking Safety Proof]: Ensure $O(n)$ linear performance with negated character classes instead of vulnerable nested quantifiers; 4) [Ready-to-run Unit Test Suite covering 10 edge cases].