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Comment by careful_ai

6 months ago

We faced similar roadblocks while building out a robust LLM evaluation pipeline—especially around real-time monitoring, human oversight, and making the tools accessible to product teams, not just engineers.

What helped us was integrating 'AppMod.AI', specifically the Project Analyzer feature. It’s designed to simplify complex enterprise app evaluation and modernization. For us, it added three big wins: - Real-time, accurate code analysis (we're seeing close to 90% accuracy in code reviews). - AI-generated architectural diagrams, feature breakdowns, and summaries that even non-dev folks could grasp. - Human-in-the-loop chat layer that allows real-time clarification, so we can validate subjective or business-specific logic without delays

We also leaned on its code refactor and language migration capabilities to reduce manual workload and close some major skill gaps in older tech stacks—cut our project analysis time from ~5 days to just 1.

It’s not just about evals; the broader AppMod.AI platform helped us unify everything from assessment to deployment. Not perfect, but a meaningful step up from the spreadsheets + scripts cycle we were stuck in.