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Spec-Driven Development with Kiro
- Categories:
- Software and DevOps Artificial Intelligence
- Level:
- Intermediate
- Code:
- AMWSSDDK
- Exam:
- Not Applicable
Overview
This two-day, instructor-led course introduces developers, software engineers, and technical leads to agentic coding practices using Kiro, an agentic IDE for software development. The course covers planning and implementing features with Kiro Feature Specs and Bugfix Specs, controlling agent behavior, extending agent capabilities, automating workflows, and configuring projects for team collaboration and enterprise governance. Learners engage in hands-on labs, demonstrations, and group exercises, building and extending applications using Kiro’s capabilities.
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
This course is designed for:
- 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
What's included
Select your preferred way to learn:
What is Virtual?
Live, instructor-led training delivered online
Interactive online sessions led by subject matter experts. Learners join live classes, take part in discussions, and complete practical exercises from any location, making it easy to fit collaborative learning into busy schedules.
If you prefer to connect to a course that is taking place in a physical classroom, you can choose our Remote Access option. .
Best for: Teams and individuals who want expert guidance, real-time collaboration, and flexible access.
What's included?
2 Days instructor led course
6 month free access to QA learning platform
Free 6-Month Access: Learning Platform Discovery plan
Included FREE with every instructor‑led course
Get free guided access to the QA Learning Platform. Assess your skills, explore in-demand topics, and understand which areas to focus on.
Learn AI, Cloud, Data, and Leadership skills at your own pace.
Put skills into practice with hands-on Labs and Simulabs.
Validate knowledge and highlight gaps with skills assessments.
What is bespoke training?
Custom instructor-led training designed by QA to fit your needs
Tailored programmes built around your organisation’s goals, challenges, and skill levels. Delivered in the format that suits you to maximise relevance and impact.
Best for: Organisations and teams looking to target specific business priorities and capabilities with QA subject matter expertise.
Find out more about the course:
Learning outcomes
By the end of this course, learners will be able to:
- 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, and custom subagents
- Extend agent capabilities using Model Context Protocol 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
Course outline
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
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
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
Bugfix Specs
- When to use Bugfix Specs
- The bugfix analysis phase: current, expected, and unchanged behaviour
- Root cause analysis and design
- Property-based testing for regression prevention
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
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
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
Team Collaboration and Enterprise Governance
- Shared workspace configuration through the .kiro directory
- Steering file organisation and spec review conventions for teams
- Enterprise governance: MCP registry allowlisting, model governance, extension registry, web tools
Exams and assessments
There is no certification or exam associated with this course.
Hands-on learning
- Hands-on labs are interleaved with module content throughout each day
- Learners build a weather application using Kiro capabilities on Day 1
- Learners deploy, extend, and team-enable a micro-blogging application on Day 2
- Activities include demonstrations and group exercises
Good to know
Ready to book? Complete the form and a member of our team will be in touch shortly to discuss your options.
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What our customers are saying
“I would say the secure software engineering programme QA built, is beyond training. It is more around making transformation in the mindset of people, and this was exactly what we are looking for.”
Emil Minev
Senior Consultant & Programme Manager, Paysafe Group
“QA provides the updated and the comprehensive theory in the domain of AI/ML/DL and DevOps. Being an AWS machine learning speciality enthusiast I don't have to look for different websites or online learning platform for the course materials.”
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Information Technology and Services
Portfolio Director
Andy Smith
Portfolio Director – Software and DevOps
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