Smarter, language-agnostic prompt scoring - #2
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Make the complexity heuristic sharper and fix real misfires, so it works consistently whatever language the user writes in. - scoring.js: match keywords at a word START (Unicode-aware) instead of raw substring, killing phantom hits like "just"/"juste" inside "adjusted" or "vite" inside "invite". Suffixes still match as light stemming (compared->compare, renommer->renomme). - scoring.js: add structural, language-independent signals — error/stack vocabulary + "file.ext:line" references (+3), and multi-step lists of 3+ numbered/bulleted lines (+2). Pasting a stack trace or a 3-step plan now reads as complex instead of scoring zero. - extension.js: computeProjectBias used the same flawed substring match over README prose; route it through the shared countKeywordHits helper. - package.json: English complexity/simple keyword parity with French (understand, complex, "how does", root cause, …; add an import, correct, …). - scoring.test.js: 5 new tests (word-start matching, accents, stemming, error signal, list signal). - ecoprompt-0.9.0.vsix: repackaged so the bundled code matches source. Verified: 36/36 tests pass; no regression on reference FR/EN prompts; end-to-end run fires the expected suggestion.
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Make the complexity heuristic sharper and fix real misfires, so it works consistently whatever language the user writes in.