Challenge
AI coding assistants tend to sprawl — unscoped changes, no validation, and no separation between planning and implementation — which makes their output hard to trust on real codebases.
Objective
Impose structure on agentic development: a spec-first workflow with specialized, role-bounded agents and explicit validation and review gates so every change is scoped, tested, and reviewable.
Results
Open-source under the MIT license: a reusable multi-agent framework that takes a feature from spec to validated, reviewed implementation. A fuller, private variant runs internally at ServicePower.
Overview
KiroEnsemble is an agentic full-stack development framework built on Kiro's spec-driven workflow. A lead orchestrator decomposes a spec (requirements, design, tasks) and delegates implementation to specialized agents — builder, validator, reviewer, and documenter — coordinating them through a bounded build → validate → review → document pipeline with automated retries and quality gates.
Scope
Designed the agent roles, delegation protocol, and execution pipeline; integrated Kiro specs with EARS acceptance criteria, Git branching/PR conventions, and Atlassian (Jira/Confluence) workflows; added validation, code-review, and documentation stages with bounded retry handling.
Tech Stack
- Languages:
- TypeScript
- Frontend:
- N/A (developer tooling)
- Backend:
- Node.js
- Databases:
- SQLite (session & decision logs)
- Developer Tools:
- Kiro CLI, MCP, Git, Atlassian (Jira/Confluence)
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