AI Coding Wrapped

Turns your Claude Code / Codex sessions into a reviewable report on your coding habits

Problem

A Product Hunt launch specifically targets seeing how you really vibe code, which shows developers are both curious and anxious about how they collaborate with AI: which prompts work, which tasks keep reworking, where time goes. Most people only have scattered terminal history and no structured retrospective.

Solution

Read local Claude Code/Codex session records to count prompts, rework rounds, task-type distribution, and average completion time, then generate a weekly or per-project retrospective with actionable suggestions (e.g., add context before letting the agent act on certain task types). Everything runs locally; no code upload.

Users

Developers who use AI coding agents daily; tech leads who want to improve team AI efficiency.

MVP

Parse common agent session logs; generate weekly reports (prompt count, rework rate, task categories, time distribution); local storage and Markdown export; one-command generation.

Revenue

Free personal tier; Pro subscription unlocks historical trends, team comparisons, and PDF export; per-seat team pricing.

Why now

AI coding agents just became everyday tools, and teams are starting to ask how to use them effectively, but lightweight local analytics are missing; since data lives locally, indie developers face no compliance barrier.