🔄 AI in Product Development Life Cycle: From Ideation to Maintenance

👋 Hey friends,

If you’ve been following me for a while, you know I love digging into frameworks that actually change how we work. Lately, I’ve been obsessed with one question:

What happens when we apply AI across the entire product development life cycle?

Not just brainstorming features in ChatGPT. Not just writing code faster. But from that very first napkin sketch → to design → to prototyping → to testing → to deployment → and even years later, when a product needs predictive maintenance.

In today’s newsletter, we’ll dig into exactly how this is happening:

• How AI expands creativity during ideation.

• Why prototyping cycles are collapsing from weeks to hours.

• How testing and QA are becoming smarter, not just faster.

• The role of AI in risk-free deployment and continuous integration.

• And how predictive maintenance is turning upkeep into a trust-building exercise.

By the end, you’ll have a clear playbook for how AI can help you ship better products—faster, safer, and with more confidence.

Spoiler: It’s not just about speed. It’s about changing the way we build, test, and deliver value.