analyzing▌

Scan C#/.NET code for performance anti-patterns and produce prioritized findings with concrete fixes. Patterns sourced from the official .NET performance blog series, distilled to customer-actionable guidance.

Query your data warehouse to answer business questions with cached patterns and concept mappings. \n \n Supports pattern lookup and caching for repeated question types, with outcome recording to improve future queries \n Includes concept-to-table mapping cache and table schema discovery via INFORMATION_SCHEMA or codebase grep \n Provides run_sql() and run_sql_pandas() kernel functions returning Polars or Pandas DataFrames for analysis \n CLI commands for managing concept, pattern, and table cach

Synthesize customer feedback into actionable product insights using frameworks from 56 product leaders. \n \n Guides users through identifying patterns across multiple feedback channels (NPS, support, interviews, social) and clustering by behavioral pathways rather than demographics \n Emphasizes distinguishing root causes from surface-level complaints, with techniques for uncovering what users don't explicitly state \n Includes principles on prioritizing signal over noise, talking to churned us