AI Developer Activity Tracker and Context Recovery

C7/10June 8, 2026

WhatA background daemon that passively captures developer activity across terminals, editors, and AI sessions, summarizes it with LLMs, and provides queryable context recovery so developers can instantly recall what they were working on.

SignalDevelopers report that working with AI agents makes it even harder to remember what they were doing — the increased pace and context-switching of AI-assisted development creates a new cognitive load problem that git logs and existing tools don't solve.

Why NowAI coding agents have dramatically increased the volume and pace of developer activity, creating a new problem of context fragmentation that didn't exist before; cheap LLM inference makes continuous summarization economically viable.

MarketProfessional developers using AI coding tools, ~30M+ globally; $10-20/mo individual or $50+/seat enterprise; no direct competitor purpose-built for this — existing time trackers like WakaTime track metrics, not semantic context.

MoatDeep integration across the developer toolchain (shell, editor, AI tools) creates high switching costs; accumulated personal context history becomes increasingly valuable over time.

Ask HN: What are tools you have made for yourself since the advent of AI? View discussion ↗ · 372 pts · June 8, 2026

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