Kiro Bootcamp: AI Coding, Automation & Vibe Coding

Build a complete, responsive personal portfolio website from scratch using vibe coding, featuring a hero with rotating avatar, dynamic titles, and sections for about, skills, projects, experience, testimonials, and contact.

Plan before building to set goals, structure, and AI-powered portfolio website design direction. Implement clean project structure, reusable components, and AI prompts for scalable, production-ready development with testing.

Plan and design a comprehensive full-stack task management system with authentication, task creation and deletion, dashboards, and priority-based filters, using Notion, Trello, and Slack as practical references.

Generate and refine front-end components for a task management app using Kiro AI, including login forms, layout, and secure authentication, with a stack built with node.js, express, and mongodb atlas.

Explore front-end iterations to enhance the Taskflow interface through typography, professional color schemes, interactive sliders, left navigation toggles, and distinct high, medium, and low priority cards.

Analyze how credits are consumed in Kiro by prompt complexity, context, and activity. Apply best practices: clear prompts, smaller tasks, targeted changes to optimize credit use.

Design a scalable chat application architecture by integrating the ui and ai backends or a question bank. Explore flexible deployment options and a real-time interface design using Figma templates.

Plan and design a full-fledged e-commerce store using a scenario-based, prompt-driven approach, outlining goals, target users, core features, data sourcing, and deployment.

Learn to set up a basic front-end e-commerce homepage with a navigation bar, hero banner, featured products, and footer using a Vite React scaffold and responsive design.

In kiro bootcamp's ai coding course, build a responsive e-commerce product listing page with image cards, prices, categories, and ratings, plus client-side filtering, sorting, pagination, and add-to-cart buttons.

The lecture demonstrates adding a full shopping cart to the front end, creating a cart context and a cart page to show selected products with quantity, price, subtotal and total.

Demonstrate front-end only user authentication and profiles for an e-commerce app, including login, registration, profile management, and a functional checkout UI.

Create and deploy a devops dashboard with dashboards, visuals, and a data stream, secured by RBAC, using Netlify and Google login for deployment and access management.

Build a modern dashboard app with login, overview, services, metrics, alerts, reports, and settings pages, featuring a clean layout, sidebar navigation, top header, and real-time metrics with React and Vite.

Build a live analytics panel with HTML, Tailwind, and JavaScript to generate interactive graphs of CPU, memory, disk, network, and alerts on the overview page.

Learn how the ai-powered code review assistant handles edge cases and errors across pull request analysis, static analysis, and dashboards, using input validation and graceful fallback suggestions.

Explore modern AI-assisted development workflows that accelerate software delivery through planning, coding, testing, and deployment with Kiro, while maintaining governance, security, and quality.

Master prompt engineering to define clear objectives, provide essential context, and apply constraints and iterative, modular prompts for higher quality ai outputs in kiro bootcamp.

Master context windows and token usage to enhance AI responses, cut costs, and boost productivity in AWS Kiro by using concise prompts and modular, task-specific prompts.

Explore AI hallucinations and how to mitigate them in kiro by providing context across two chat windows, validating outputs with human checks, reading files before claims, and tuning temperature.

Implement secure AI-assisted coding by applying prompt hygiene, code review, vulnerability scanning, and access controls to protect data, comply with regulations, and govern AWS Kiro workflows.

Leverage AI-assisted development with Kiro IDE to accelerate code generation, debugging, and testing. Master prompt engineering, full-stack development, deployment, and production readiness for scalable, secure applications.

Master best practices for AI-assisted development by avoiding vague prompts, unreviewed code, and missing tests; apply structured prompts, thorough review, testing, secure practices, clean architecture, and documentation.

Identify and avoid common development mistakes by manually selecting models, refining prompts, validating code through testing, and preventing hallucinations while enforcing solid project structure and strong security in scalable workflows.

Discover how Kiro communities empower large-scale collaboration through official channels like Discord, events, ambassadors, startups, and students, plus a centralized showcase and external forums such as Reddit and Dev Community.

Scale AI development workflows by standardizing architecture, modularizing projects into modules, and using reusable prompts and strong collaboration between developers and AI, with rigorous reviews, testing, and CI/CD.

Leverage AI-assisted workflows and a product-minded bootcamp mindset to build portfolio-ready full-stack projects and prepare for AI-driven roles across front-end, back-end, and automation.