Workflow Retrospective
Audits AI conversation histories and session logs to uncover reusable workflows and prevent recurring mistakes.
Workflow Retrospective analyzes raw conversation histories from Codex, Claude Code, and ChatGPT to conduct evidence-based audits of recurring developer patterns and friction points. By parsing JSONL session exports, thread transcripts, and user corrections, it identifies genuine workflow recurrences rather than one-off topics, recommending precise, minimal configurations (such as AGENTS.md rules or custom skills) with exact diffs before any changes are applied. It is ideal for engineering teams and individual developers looking to standardize best practices, reduce repeated prompt corrections, and systematically improve AI-assisted coding efficiency.