The End of Coding as We Know It

Not My Job/No Need to Know

In this episode, host Michael Dowden sits down with Alistair Cockburn, co-author of The Agile Manifesto, to discuss modern software design and its evolution alongside Large Language Models (LLMs). Cockburn explains that applying the "genius" of human bureaucracies, specifically the concepts of "not my job" and "no need to know," is the most effective way to define software responsibilities and manage the rapid, often messy, code generation of AI agents. By framing software components as specialized entities in a bureaucracy, developers can establish a clear gradient to judge design quality and detect design drift as systems evolve.

AIOps: Smarter Systems or Bigger Risks?

In this live podcast episode, host Michael Dowden sits down with Christian Schneider and Torsten Köster to explore the impact of artificial intelligence on software operations. They distinguish between AI for Ops (using AI to enhance day-to-day analytics) and Ops for AI (the specialized observability required to monitor non-deterministic AI applications). The conversation also covers the architectural principles, observability requirements, and security controls needed to safely deploy AI at scale, along with the growing role of AI in software development and the future of IT operations.

The Human Core of Engineering in the Age of AI

In this episode, our experts address a deceptively complex question: What is AI actually doing to the software industry? Not as a tool or a trend, but as an accelerant. They dig into why agility seems strangely quiet, whether the software crisis was ever really solved, and what all these rapid changes mean for the way we build and think about software.

Making Accessibility the New Standard in an AI-Driven World

In this episode, host Michael Dowden sits down with Jemima Abu, a senior product engineer, to explore how web accessibility is not just an optional business requirement but a fundamental responsibility to build useful products for all users. They unpack the dual role of AI, illustrating how it can inherit human biases to produce flawed code while also serving as a powerful tool for accelerating essential tasks such as alt-text generation and transcript proofreading. Ultimately, the episode calls for a mindset shift toward intentionality, urging developers to leverage new technologies to create more inclusive digital experiences that can stand the test of time.

Node.js: Moving Too Fast for Corporations, but Too Slow for Developers

The episode focuses on the operational and security landscape of Node.js. Marco and Rafael explain that Node.js development is driven by volunteers rather than a formal product roadmap, with significant time dedicated to security releases and triaging reports from platforms like HackerOne. A major theme is the rise of "AI slop"—low-quality, AI-generated bug reports that consume valuable maintainer time. To combat this, the team has implemented stricter reporter reputation requirements. The episode also discusses the project's evolution toward including more built-in modules to improve user experience, the recent stabilization of native TypeScript support, and ongoing debates regarding the frequency of major release cycles.