adr-decision-extraction

To extract architectural decisions from meeting transcripts, you can use pattern matching and natural language understanding to identify explicit markers, choice patterns, and problem-solution pairs. This process automates the detection of trade-offs and choices made during technical design discussions.

An Architecture Decision Record (ADR) captures architectural decisions by documenting the problem, chosen option, and trade-offs. Extracting these records from chat logs or design discussions ensures that contextual inferences and explicit choices are structured into a readable format.

Yes, you can generate ADRs automatically from chat logs and design discussions by applying natural language processing to detect implicit choices and explicit decision markers. The output is structured into a JSON object containing fields like title, problem, and chosen option.

This method does not strictly require specific tags, as it detects implicit choices through pattern matching and contextual inferences. However, it also identifies explicit decisions marked with [ADR] tags in conversational text to improve extraction accuracy.

Extracted architectural decisions are structured into a JSON object containing fields like title, problem, chosen option, and confidence. Confidence scoring assigns high, medium, or low levels to detected decisions, ensuring clear documentation for downstream ADR generation.