Development Lifecycle Explorer
See how a real build runs, phase by phase
Every software project follows the same eight phases — from idea to working product in users' hands. Those phases existed before AI and they exist after it.
Select any stage below to explore what AI accelerates, what stays the same, and what every practitioner already knows. Work through them in order or jump to what is most relevant to you.
A note for experienced practitioners
The time ranges below reflect a cross-functional team applying AI tools to a conventional delivery process — a reasonable baseline for most organizations. They are not universal limits.
An experienced IT Program Manager or Product Manager who already knows every phase, can generate the project artifacts from memory, and has the authority to make decisions without organizational coordination can take a complete, tested, and deployed MVP from ideation to production in under two weeks — with AI handling the execution layer. The discipline compresses when the judgment is already there.
This is the exact arc the bootcamp teaches and every engagement follows. No mystery, no black box.
Book a call →Who you'd be working with
Twenty-eight years delivering for a dozen Fortune 500 companies — from $50K projects to an $800 million program with hundreds of team members across three continents. Banking, insurance, lending, pharma, manufacturing — the most regulated industries there are. Security and compliance aren't an add-on at that level. They're the table stakes. That's the rigor your two-week build inherits — the same discipline that keeps a five-person firm out of the ditch when the tools finally land on Main Street.