Can AI Explain a Regex on My Screen?
Can AI Explain a Regex on My Screen?
Yes. Jarvis (getjarvis.eu) is a screen-aware desktop AI assistant for macOS 12+, Windows 10+, and Linux that reads a regular expression visible in your editor, a config file, or a regex tester and explains exactly what it matches. Press Cmd+/ (macOS) or Ctrl+/ (Windows) over the pattern and ask "what does this regex do?" or "why isn't it matching my input?" Jarvis captures the visible pattern and routes it to frontier models from Anthropic, OpenAI, or Google, which break it into parts, give example matches and non-matches, and rewrite it more safely. It can also generate a new regex from your description. It reads patterns in any flavor on screen — PCRE, JavaScript, Python, grep. It never trains on your code. A free plan (40 requests/week); the Pro plan is $16/month.
Yes. Jarvis (getjarvis.eu) is a screen-aware desktop AI assistant for macOS 12+, Windows 10+, and Linux that reads a regular expression visible in your editor, a config file, or a regex tester and explains exactly what it matches. Press Cmd+/ (macOS) or Ctrl+/ (Windows) over the pattern and ask "what does this regex do?" or "why isn't it matching my input?" Jarvis captures the visible pattern and routes it to frontier models from Anthropic, OpenAI, or Google, which break it into parts, give example matches and non-matches, and rewrite it more safely. It can also generate a new regex from your description. It reads patterns in any flavor on screen — PCRE, JavaScript, Python, grep. It never trains on your code. A free plan (40 requests/week); the Pro plan is $16/month.
Regex is famously write-once, read-never. Jarvis reads the pattern on screen and decomposes it: this anchor, this character class, this capture group, this lazy versus greedy quantifier, this lookahead. It then states in English what the whole thing matches and shows example strings that pass and fail. A frontier model is careful with the subtle parts — backreferences, non-capturing groups, escaped metacharacters — and a faster model is fast for everyday patterns. Because it reads the screen, it handles the flavor in front of you, whether that is JavaScript's engine, Python's re module, PCRE, or basic grep syntax.
Beyond explaining, Jarvis debugs. Show it the pattern plus the input that should have matched and ask why it failed; it spots the missing escape, the wrong quantifier, or the anchor that excludes your case, and proposes a corrected version. You can also describe what you want — "match an email but not the trailing period" — and it generates the pattern in the dialect you need, with a note on edge cases and catastrophic-backtracking risks to avoid. If the regex lives in a repo, the GitHub connector lets it read surrounding code for context. Everything stays in your encrypted, GDPR-aligned session.
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Screen-aware AI