An interview based podcast hosted by Andrew Zigler. Show notes usually have a summary and relevant links.
Episodes
31 Jul 2026
"Critiques the 'software factory' term for lacking creativity and adaptability, explores automation challenges in software development, and emphasizes the need for human oversight, context engineering, and domain-specific AI agents to ensure accuracy, scalability, and security."
Open episode28 Jul 2026
"AI is reshaping code reviews, shifting focus from line-by-line checks to intent-based analysis, while optimizing CI/CD with early validation and addressing AI adoption challenges like cost and leadership adaptability."
Open episode24 Jul 2026
"Explores AI benchmark challenges, security risks, open-source competition, and AI integration inefficiencies in development and defense."
Open episode21 Jul 2026
"Explores how AI-driven organizational structures, unified HR-IT-finance systems, and agentic engineering enhance decision-making, productivity, and scalability while addressing challenges like fragmented tech stacks, data security, and the shift from narrow to expansive strategies in SaaS and data platforms."
Open episode17 Jul 2026
"AI is transforming game development, education, and daily activities while raising concerns about code ownership, standardization, and productivity impacts."
Open episode14 Jul 2026
"Modern software engineering faces bottlenecks in review, testing, and downstream processes due to AI-driven acceleration, requiring infrastructure reengineering to balance speed and reliability while mitigating risks of AI over-reliance."
Open episode10 Jul 2026
"Explores workplace air quality, open-source AI, deep reading decline, local AI challenges, model routing, engineering culture, and AI automation in software development."
Open episode7 Jul 2026
AI integration in development emphasizes downstream processes like code review and testing with governance, while Slack leverages LLMs and AI agents for human-centric collaboration, prioritizing open standards, flexibility, and secure, context-rich workflows aligned with industry trends.
Open episode3 Jul 2026
Explores AI and engineering challenges, covering Fables' UX implications, multi-model system complexity, cost-effective model selection, data science hurdles, collaborative work practices, productivity strategies, and trends toward continuous improvements, human oversight, and domain-specific specialization.
Open episode30 Jun 2026
Challenges in transitioning AI pilots to production include over-reliance on proof-of-concepts, misalignment with scalable systems, and cultural gaps in engineering practices, requiring disciplined strategies like throwaway code, rigorous testing, early user feedback, and systemic data-driven metrics to align AI with organizational goals through collaboration and infrastructure improvements.
Open episode