A developer built a real estate app using Claude Code and beads, a git-native issue tracker. This tool shifts from spec-first documentation to a task-first approach, storing issues as compact JSONL files. The result is a living tracker AI can parse instantly, replacing lengthy prose with a structured, machine-readable project state.

The workflow contrasts with Spec-Driven Development frameworks like agent-os, which require upfront specifications. Beads uses an explicit dependency graph to enforce execution order. The `bd ready` command automatically surfaces unblocked, high-priority tasks through graph traversal, giving AI assistants deterministic guidance without interpreting prose.

This method streamlined building the Mission House app, where tasks like 'Set up frontend project structure' were explicitly linked to dependent work. For developers, it means less context-switching and clearer prioritization. Part 2 promises a deeper dive into JSONL advantages, workflow patterns, and drawbacks.