Spec-Driven Development with Kiro empowers development teams to build software faster using AI-assisted, agentic development workflows.
This course provides the practical knowledge to implement spec-driven development, configure AI agent behavior, extend capabilities with Model Context Protocol (MCP), and automate development workflows using Kiro.
- Why get trained: Learn how to create Feature and Bugfix Specs, control AI agents with steering files and execution modes, integrate external tools through MCP servers, automate workflows with agent hooks, and build reusable agent skills for your team.
- Why it matters: AI agents are transforming the software development lifecycle by accelerating coding, testing, and collaboration. Organizations need developers who can effectively supervise AI agents while maintaining governance, consistency, and code quality.
- Who should attend: Software Developers, Software Engineers, Technical Leads, DevOps Engineers, and development teams adopting AI-assisted and agentic software development practices.
Gain the skills to design, automate, and govern AI-powered software development workflows with Kiro. HRD Corp Claimable.
Overview
Spec-Driven Development with Kiro is a two-day, instructor-led training course designed for developers, software engineers, and technical leads adopting AI-assisted, agentic development practices. The course teaches the principles of agentic coding and how to apply them using Kiro, the agentic IDE for software development.
Participants learn to plan and implement features through Kiro Feature Specs and Bugfix Specs, control agent behavior with steering files and execution modes, and extend agent capabilities with Model Context Protocol (MCP) servers and Kiro Powers. The course also covers automating workflows with agent hooks, packaging reusable expertise with agent skills and custom subagents, and configuring projects for team collaboration and enterprise governance. Hands on labs are interleaved with module content throughout each day.
On Day 1, learners progressively build a weather application using each Kiro capability as it is taught. On Day 2, learners deploy, extend, and team-enable a pre-built micro-blogging application.
Skills Covered
In this course, you learn to do the following:
- Implement spec-driven development workflows using specifications to plan, design, and execute features and fixes
- Configure and control agent behavior using steering files, context providers, execution modes (Autopilot and Supervised), and custom subagents
- Extend agent capabilities using Model Context Protocol (MCP) servers and Kiro Powers to integrate external tools, services, and domain expertise
- Automate and scale development workflows using agent hooks, agent skills, shared steering, and custom subagents
- Build and share reusable agent capabilities by creating custom Kiro Powers, agent skills, and custom subagents for team-specific workflows
- Apply enterprise governance controls for MCP registry allowlisting, model governance, and extension management
Prerequisites
We recommend that attendees of this course have:
- Proficiency in at least one programming language
- Working knowledge of Git version control
- Basic understanding of RESTful APIs and cloud application concepts
- Foundational knowledge of generative AI concepts (LLMs, tokens, inference)
Target Audience
- Software developers and engineers
- Technical leads adopting AI-assisted development workflows
- Development teams adopting agentic coding practices
- DevOps engineers integrating AI agents into delivery pipelines
Day 1
Module 1: Introduction to Agentic Development with Kiro
- The agentic coding paradigm and Kiro core capabilities
- Five principles of effective agentic development
- Kiro IDE vs Kiro CLI
- Vibe sessions, Spec sessions, and model selection
Module 2: Spec-Driven Development with Feature Specs
- The three-phase spec workflow (Requirements, Design, Tasks)
- Requirements-First workflow and EARS notation
- Design-First workflow (High-Level and Low-Level Design)
- Correctness with property-based testing
Module 3: Steering, Context, and Agent Control
- Steering files and foundational context
- Custom steering files and inclusion modes (always, fileMatch, manual, auto)
- Workspace and global scope
- Context providers and session management
- Autopilot and Supervised execution modes
- Trusted commands and trusted tools
Module 4: Bugfix Specs
- When to use Bugfix Specs
- The bugfix analysis phase: current, expected, and unchanged behavior
- Root cause analysis and design
- Property-based testing for regression prevention
Day 1 Lab: Kiro Spec-Driven Development Foundations
Day 2
Module 5: MCP Servers and Tool Integration
- Model Context Protocol fundamentals and client-server architecture
- Configuring MCP servers at workspace and user scope
- Managing servers, tools, and auto-approve
- Using MCP tools in chat and troubleshooting
Module 6: Kiro Powers
- The context overload problem and how Powers solve it
- Power directory structure (POWER.md, mcp.json, steering)
- Installing and using Powers from the IDE and kiro.dev
- Authoring and sharing custom Powers
Module 7: Agent Hooks, Skills, and Custom Subagents
- Agent hooks: triggers, actions, and creation
- Agent skills: portable instruction packages with progressive disclosure
- Custom subagents: scoped tool permissions and delegation
- Skills vs Steering vs Powers
Module 8: Team Collaboration and Enterprise Governance
- Shared workspace configuration through the .kiro directory
- Steering file organization and spec review conventions for teams
- Enterprise governance: MCP registry allowlisting, model governance, extension registry,
web tools
Day 2 Lab: Extending and Automating with Kiro
Dates & Locations
August 6, 2026 - August 7, 2026
August 6, 2026 - August 7, 2026
September 10, 2026 - September 11, 2026
September 10, 2026 - September 11, 2026
October 8, 2026 - October 9, 2026
October 8, 2026 - October 9, 2026
November 19, 2026 - November 20, 2026
November 19, 2026 - November 20, 2026
December 10, 2026 - December 11, 2026
December 10, 2026 - December 11, 2026
Exam & Certification
There is no exam directly associated with this course. However, AWS offers an extensive portfolio of industry-recognized certifications that can help you stand out as a tech professional in 2026 and beyond. Achieving AWS credentials is one of the most effective ways to validate your skills and accelerate your career.
With our expert-led training, you’ll be prepared to:
- Master in-demand capabilities across Cloud, Data & AI, and Cybersecurity — areas driving global digital transformation.
- Prove your expertise with a globally respected credential recognized by employers worldwide.
- Advance your career by enhancing your credibility, increasing your earning potential, and opening doors to new opportunities.
Explore our top AWS Certifications for 2026 and start building the skills that matter today.
Training & Certification Guide
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Get in touch with our team via the form or WhatsApp us on +6011-5119 6631
