Friction Lab / Products

Products

Focused tools for the parts of developer workflow that generate the most friction. One released, several in progress.

Available now

Wayfinder is the first public release from Friction Lab, available as a release candidate.

Active work

These tools are under active development and not yet available publicly.

Relay In development

A local-first macOS mission-control app for AI-assisted software development workflows. Relay surfaces context from your active project, routes tasks to AI agents, and keeps every step reviewable before it touches your codebase.

Read-only MCP server integration and Codex validation are already working in the current build. No public release is planned until the core workflow loop is stable.

SwiftUI macOS MCP Codex
Cleanroom In development

Safe, explainable cleanup for generated developer artifacts — derived data, build caches, simulator runtimes, and other machine-generated directories that accumulate over time.

Cleanroom uses a profile-based cleanup model: you define what a clean state looks like, and the tool audits and reports before removing anything. No silent deletions.

Profile-based cleanup and audit-first safety model are in the design phase. Xcode-derived data and simulator runtime cleanup are the initial targets.

Rust CLI Xcode cleanup

Planned

Ideas with clear problem statements that are queued for future development.

Code Atlas Planned

A repo-native smart documentation and memory layer for codebases and AI-assisted development. Code Atlas stores structured knowledge about your project alongside the code itself, making that knowledge accessible to both developers and AI agents via MCP.

Markdown docs MCP codebase memory
Space Buddy Planned

A macOS workspace companion for task-focused desktops. Anchors specific apps and windows to named spaces so context-switching between projects is deterministic.

SwiftUI macOS
Folder Sense Planned

Finder folder icon suggestions using lightweight rule-based classification and optional ML-assisted inference. Keeps your project directories visually distinct without manual tagging.

macOS ML