Brewlog doubles as Claude Code case study

This is more interesting as an agentic coding field report than as a coffee app launch: it shows where AI pair-programming is already useful and where humans still need to design the rails.

• –The standout pattern is treating pre-commit hooks and lint rules as a contract for agents, not just hygiene for humans
• –Seager’s Datastar example matters because the agent handled a newer framework by reading docs instead of relying purely on training data
• –The post is candid about failure modes, including “doom loops” in planning-only workflows and the need to switch agents into better tooled execution paths
• –Brewlog’s multimodal bag scanning is a practical AI feature, not demo fluff, and the reported per-scan cost stays low enough to feel productizable
• –Parallel worktrees plus fresh-context implementation sessions point toward a real operating model for teams using coding agents day to day