Hands-on workshop / 2026

From prompts to practice.

Learn how to collaborate with AI coding agents to research, plan, implement, test, and review real software using structured engineering practices and modern development tools.

7 features 4 RPI phases 1 application
development / lifecycle ship with confidence
$ copilot
research the next feature
→ evidence collected
→ plan ready
→ tests passing

Beyond vibe coding

Better software needs more than generated code.

AI can generate code in seconds. Engineering reliable software requires more: clear requirements, deliberate planning, incremental implementation, automated validation, and thoughtful review.

In this workshop, AI agents become collaborators throughout the software delivery lifecycle. The goal is not to generate more code. It is to deliver better software with greater confidence.

The engineering workflow

A repeatable process for every feature.

Powered by HVE Core's Research–Plan–Implement–Review methodology.

01

Research

Understand the problem before changing code. Explore requirements, investigate the existing application, identify constraints, and gather evidence to guide implementation.

02

Plan

Turn research into an actionable engineering plan. Define the approach, break work into manageable tasks, identify dependencies, and establish acceptance criteria.

03

Implement

Collaborate with AI agents to execute the plan. Make focused changes, run the application, write tests, and validate the results.

04

Review

Evaluate the implementation before delivery. Inspect changes for correctness, maintainability, security, and alignment with the original requirements.

Technology & tools

The stack for modern agentic development.

SupportHub is the example application. The focus is learning how the application stack and engineering tools work together in a real system.

What you'll learn

Engineer with agents, deliberately.

Start workshop

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