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My First Kiro App Was a Winner. Here’s How I’m Building a Monster

Description and use

The author explains how to build a complex AI assistant using Kiro’s features—Specs, Steering, Hooks, Property tests, MCP, Powers, Subagents, and Workflows—to reduce bugs and automate checks in solo development.

Problem

Building a complex assistant with many independent parts (inbox, calendar, meals, money) while working solo, risking bugs that only a team would catch.

Outcome

The author achieved a robust, self‑sufficient development workflow that mitigates solo‑developer pitfalls, enabling rapid, reliable iteration on a complex assistant.

Workflow

  • Generate Specs to outline requirements, design, and tasks
  • Create Steering docs and files to enforce scope and privacy rules
  • Enable Memory to capture learning and conventions
  • Add Hooks for automated checks and secret handling
  • Write Property‑based tests derived from requirements
  • Configure MCP & Powers for external docs and tools
  • Define Subagents and Workflows for parallel and background tasks
  • Run tests after each task via Hook
  • Iterate until acceptance criteria met

Evidence

A year ago I was a fresh computer science grad starting my first big coding project. I built Denarii, an AI purchase advisor, with Kiro, and it was a winner at the Code with Kiro Hackathon.

Source

Franki is a friendly Frankenstein ghost who helps run your life. It's an avatar-first assistant you talk to, stitched together from parts that were never meant to fit: your inbox, your calendar, your meals and your money.

Source

Specs are the skeleton. A Kiro spec turns "build me X" into three documents you review before any code exists: requirements, a design and a task list.

Source

Hooks fire on events, like a tool about to run or a spec task finishing, and run either a shell command or an agent prompt.

Source

Property-based tests check the rules. In a Kiro spec, the design pulls testable properties out of your requirements.

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Subagents each run in their own context and in parallel, so research, implementation and review don't trip over each other.

Source

  • Record date: 2026-11-02T06:44:02.452Z