An interview based podcast, each episode has a full transcription on the official site with related references.
Episodes
13 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 episode2 Jul 2026
The *polars* library offers a high-performance, multi-language (Python, R, Node.js) data frame tool leveraging Rust, columnar storage, out-of-core processing, and GPU acceleration for fast data manipulation, optimized for large datasets and scalable data engineering workflows.
Open episode24 Jun 2026
The Swagger/OpenAPI ecosystem, including tools like Swagger Editor, UI, and Codegen, along with commercial offerings and contract testing, supports cross-functional API development, evolves from Swagger 1.0/2.0 to OpenAPI under the Linux Foundation, emphasizes language-agnostic JSON/YAML specs, HTTP-centric design, modernization of legacy APIs, balances open-source and commercial tooling, explores JSON/YAML trade-offs, FastAPI integration, contract-first/code-first approaches, AI-driven spec generation, security practices, tooling challenges, governance, linting, mocking, CI/CD validation, and emerging AI-enhanced API trends.
Open episode10 Jun 2026
Predictive modeling faces challenges with AI's limitations in structured data, prompting solutions like graph databases and relational deep learning with attention mechanisms to enhance accuracy, scalability, and real-time updates for enterprise applications.
Open episode3 Jun 2026
The Linux kernel, the largest global software project, uses a hierarchical maintainer system with 80,150 contributors managing subsystems like DRM through public review, structured development cycles, and evolving practices to address scalability, quality, and integration challenges.
Open episode