NullCry Rolls Out Fixes for Long-File Truncation and AI File Parsing

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NullCry's CEO, Omar Zahouri, announced a major update due within 48 hours aimed at improving reliability in AI-generated software projects. The update addresses long files being cut short by accumulating content across multiple generation passes without losing earlier lines. It also expands recognition of common AI output formats and filename hints, and can ask the AI to reformat responses into explicit file blocks when extraction fails. Further changes improve how interrupted generations continue and merge automatically, and refine output sanitization so legitimate backticks in source code are not mistaken for block endings. The company says the goal is for the tool to better understand multi-file projects and reconstruct them without silently losing code.

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