ArgueBetter — Context archive for AI coding arguments

Memoized bug tracking across AI coding sessions so the same issue stops recurring.

Problem

People who write code with AI keep hitting the same bug again and again, even after telling the model to 'remember'. Different models reproduce the same UI or interaction very differently, and when you only judge by end result, it is hard to know if anything improved. Conversations scatter across various CLIs and cannot be reused elsewhere.

Solution

A local sidecar that logs each AI coding session's prompts, diffs, failing repro steps, and resolutions into a searchable failure-pattern library. Next time a similar error appears, it retrieves the past conclusion first, then helps you decide which model to ask. Imports from Claude CLI / Codex / Cursor and is vendor-agnostic.

Users

Indie devs who code with AI but lack deep fundamentals, PM-type founders, and self-taught freelance full-stack developers.

MVP

Import session logs from major AI CLIs; index errors and diffs for similarity search; retrieve historical fixes by error similarity; export a 'this bug again' checklist; one-click paste prior conclusions back into the current session.

Revenue

Free local tier plus subscription for multi-device sync and team-shared failure library; per-seat plan for small outsourcing teams.

Why now

AI coding tools are everywhere but no cross-tool memory layer exists, and everyone is already complaining about models forgetting. The window is open now.