An interview based podcast, each episode has a full transcription on the official site with related references.
Episodes
16 Sept 2026
"Explores key software engineering principles (like Conway's Law, Brooks' Law) and their impact on systems, teams, and decision-making, emphasizing context-dependent trade-offs, AI's role, and practical applications like measuring technical debt."
Open episode9 Sept 2026
"Accessibility in software development must be prioritized from the start, integrating inclusive design practices like multiple input methods, proper labeling, and user testing to benefit all users, not just those with disabilities."
Open episode3 Sept 2026
"Apache Iceberg is a scalable, interoperable data framework that unifies OLTP and OLAP workloads, separates storage and compute, and enables efficient metadata-driven operations, governance, and cost savings across industries."
Open episode26 Aug 2026
"Explores microservices testing strategies, behavioral consistency in migrations, payment system challenges, regression testing, historical data validation, testable architecture, Spark's role, and AI-driven code changes, emphasizing data privacy and business insights."
Open episode13 Aug 2026
"Explores AI agent security risks, focusing on prompt injection vulnerabilities, non-deterministic threats, and the need for dynamic monitoring and proactive defenses against evolving AI-specific attacks."
Open episode5 Aug 2026
"AI aids but doesn't replace developers, with reliability challenges requiring human oversight, structured experimentation, and balanced automation to maintain code quality and foundational skills."
Open episode29 Jul 2026
"AI is revolutionizing engineering management by automating tasks, improving collaboration, and shifting focus to oversight and human judgment in decision-making."
Open episode22 Jul 2026
"Explores AI-assisted coding harnesses, their customization, role of guides/sensors, challenges in AI-generated code, and future of harness engineering in software development."
Open episode15 Jul 2026
"Explores AI supply chain security challenges, including probabilistic outputs, data poisoning, and emerging threats, while emphasizing structured measures like model signing and isolation to mitigate risks."
Open episode8 Jul 2026
This text outlines AI agents' core components (models, tools, prompts), their evolution via the Strands SDK from early reliability challenges to simplified model-driven approaches, and their application in automating business workflows with technical considerations like tool integration, validation mechanisms, and challenges in context management, alongside tools and future trends in agent design.
Open episode