Products
We build things we need, then share them with the community.
What We're Building
Glitchpad
v0.1.3 — Community ReleaseA local-first, cross-platform viewer and editor for Markdown, Mermaid, plain text, and recognized source files, with compact multi-document tabs.
go-schedule
v1.1.1 — ActiveA cross-platform task scheduler with readable schedules, supported cron, a background daemon, CLI, desktop GUI, trigger sets, and filesystem events.
fragcap
v0.9.0 — ActiveA Windows game-traffic capture tool that attributes flows to processes and writes Wireshark-compatible pcapng files, with explicit target-scoped Deep Capture.
ShruggieTech Skills
Active · Releases on GitHubSix open-source AI skills that encode repeatable standards for scripts, documents, and specification-driven delivery.
shruggie-indexer
v0.1.2 — ActiveCross-platform file and directory indexing tool. Produces structured JSON output with hash-based content identities, filesystem metadata, and EXIF extraction.
metadexer
Pre-release — In DevelopmentContent-addressed asset management system. Storage, cataloging, deduplication, and search across large, heterogeneous digital collections.
shruggie-feedtools
ActiveShruggieTech's reference project for Python tool conventions, packaging patterns, and GUI design language.
rustif
Declaration PhaseA proposed Rust-native metadata processing engine. The next-generation successor to thirty years of metadata infrastructure.
How We Build Software
Every product begins with a specification written for AI-first consumption. Our specs are structured so AI coding agents can produce correct implementations within single context windows without interactive clarification. This methodology multiplies engineering throughput without proportional headcount. It is how a small team builds production-grade software tools.