How Agile Teams Can Start Adopting AI in Software Development | Wasim Osman

Wasim Osman: How Agile Teams Can Start Adopting AI in Software Development

Read the full Show Notes and search through the world's largest audio library on Agile and Scrum directly on the Scrum Master Toolbox Podcast website: http://bit.ly/SMTP_ShowNotes .

 

"It's like my own software has a voice now. It's telling me—okay, you're going to build me like this? Have you considered this?" - Wasim Osman

 

Wasim's biggest current challenge is one nearly every team shares: how AI is reshaping software development. He sees a clear split—developers rapidly adopting AI-driven development, and others "not downright rejecting it, but still taking their time." His warning is blunt: even when AI hallucinates and generates garbage code, it lets you deliver an order of magnitude faster, and the quality is only going to improve. The early adopters are heading somewhere the late adopters won't be able to reach. In practice, the resistance shows up as questions no one can answer: if I used to get every requirement nailed down before writing code by hand, what do I do with AI—just ask it for a one-liner and hope? Leadership often can't help, because they lack AI experience themselves. At Orkestra SCS, the head of engineering did holistic research into how companies (like AWS, with its AI-Driven Development Lifecycle) are reshaping the process, documented it, and shared it with every team. Feedback sessions and hands-on experiments followed, until they built a tailored version that fit how they actually work. The mindset shift that unlocked it: treat AI as a partner. Wasim describes his software "having a voice"—asking him questions he'd never think of, the way a pair-programming partner would, so the team explores the solution space instead of guessing at it.

 

Self-reflection Question: Is your team treating AI as a threat to write around, or as a pair-programming partner that surfaces the blind spots you'd never find alone?

 

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