AI-Monitored Release Processes: A Log Anomaly Checker (Ep. 172)

Hosts Isaac Askew and Jeffrey Sherman examine whether AI-driven development leads to useful product improvements or simply multiplies unvalidated features. They discuss how to track adoption, reduce customer-facing noise, run cleaner experiments, and remove failed features and obsolete code so both customers and AI coding tools stay focused.Prior episode mentioned is S1 E179.

Today Isaac and Jeffrey discuss how AI changes software projects that before never seemed to end.Isaac: Yes, I wasn't selecting my Shure SM7B as the correct microphone. Sad.

In this episode, Jeffrey Sherman and Isaac Askew explore how AI-generated transcripts are transforming meeting culture, power dynamics, and organizational honesty. They discuss whether transcripts encourage longer meetings, impact accountability, and how to implement AI tools for better communication.

In this episode, Isaac Askew and Jeffrey Sherman explore the future of SaaS development, reverse engineering software, and the implications of open source AI tools for software creation and business models.

Isaac and Jeffrey revisit 'Out of the Crisis' by W. Edwards Deming and why the book still holds up today.Show notes:Out of the Crisis: W. Edwards Deming: https://mitpress.mit.edu/9780262541152/out-of-the-crisis/

Jeffrey Sherman and Isaac Askew explore the timeless principles of the book 'The Goal' by Eliyahu Goldratt, focusing on the theory of constraints and its relevance to modern software development and AI workflows. They discuss how identifying and optimizing bottlenecks can dramatically improve system efficiency and adapt to changing constraints.Show notes:The Goal: https://en.wikipedia.org/wiki/The_Goal_(novel)The Phoenix Project: https://itrevolution.com/product/the-phoenix-project/

In this episode, Isaac Askew and Jeffrey Sherman explore the rapid rise of personal assistant AI like Muse, its implications for privacy, security, and the future of online shopping and productivity. They discuss how AI is transforming trust, automation, and the way companies must adapt to stay relevant.

In this episode, Isaac Askew and Jeffrey Sherman explore how AI impacts productivity, workflow, and creativity in software development. They discuss real-world experiences with AI tools, challenges faced, and the evolving nature of AI-human collaboration.

In this episode, Jeffrey Sherman and Isaac Askew explore how AI can monitor release processes by analyzing error logs, detecting anomalies, and improving deployment confidence. They discuss practical tools, strategies, and the potential for automation in system monitoring.

Jeffrey Sherman shares his experience using AI to accelerate a 10-year API rewrite, highlighting practical strategies, challenges, and insights into modern development practices.Co-host: Isaac AskewGuests: Dustin Rea