An interview based podcast hosted by Andrew Zigler. Show notes usually have a summary and relevant links.
Episodes
21 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 episode23 Jun 2026
Modern software security grapples with autonomous agent-driven deployment risks, AI-generated code vulnerabilities like "vibe coding," expanded OWASP Top 10 2025 threats, supply chain weaknesses, and the urgent need for collaborative, proactive security practices, cultural shifts, and developer education over fragmented tools and outdated methodologies.
Open episode16 Jun 2026
Challenges in AI adoption within engineering teams include overwhelmed staff, resource constraints, uneven productivity gains, declining code quality, rework from generated code, and rising costs, necessitating strategic focus on quality assurance, process optimization, AI-native workflows, metrics for ROI, and balancing automation with human oversight.
Open episode12 Jun 2026
AI-driven bots now dominate over half of internet traffic, raising security risks, undermining content quality and traffic metrics, while challenges include AI-generated content diversity loss, rising costs, technical debt, and the need for human oversight, sustainable practices, and skilled engineers to manage AI tools effectively.
Open episode