Software Development Lifecycle Transformation

The fundamental rethinking of traditional SDLC methodologies in response to AI capabilities, potentially reviving waterfall-like approaches as AI agents change how requirements translate to working code.

2 episodes

Adoption Isn't Impact: Where Enterprise AI Coding Stalls | Nadeem Haider | Ep 54

Adoption Isn't Impact: Where Enterprise AI Coding Stalls | Nadeem Haider | Ep 54

Nadeem Haider, a software engineering leader with 20 years at Citrix, maps the five-stage maturity curve enterprises face when adopting AI coding agents—from individual experimentation through team standardization to full agentic development. He argues that adoption metrics don't equal transformation, explains why 'AI ergonomics' of legacy codebases determine agent effectiveness, and advocates for risk-stratified code review where humans focus on high-blast-radius changes while agents handle boilerplate.

The Crawl-Walk-Run Playbook for Adopting AI | Jim Hasty, Ep 53

The Crawl-Walk-Run Playbook for Adopting AI | Jim Hasty, Ep 53

Jim Hasty, founder of Cogle Group, discusses his company's evolution from technology consulting to AI-powered software products. He shares lessons from building Plan Checkers, an AI tool that reduces municipal permit review time from weeks to minutes, and outlines a crawl-walk-run framework for enterprise AI adoption focused on automating emotionally draining tasks rather than chasing adoption metrics.

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