A Junior, A Senior and I

About A Junior, A Senior and I

Two people (usually) and I discuss a subject loosely related to tech and subjects that interest me. A few themes that have emerged are: - Agile (and derived practices, TDD, BDD, XP, etc) - Relationship betwee other departments and tech departments - OOP, Testing and other nitty gritty details - A few oddballs (like crossword puzzles)

Publisher

Pablo Curell

Category

business · technology

Language

en

Explicit

No

First episode

28 Mar 2024

Latest episode

22 Jul 2026

Latest episodes

36 episodes in the feed.

1. 

   22 Jul 2026

   35 - On Observability with Rachel and Liz

   The conversation delves into the concept of observability, defining it as the degree to which systems can be understood and managed based on telemetry data. It explores the levels of observability, challenges of scale and storage, and the importance of structured logging and data transformation for effective observability. The conversation covers a wide range of topics including query speed, data access, insider risk, access control, data privacy, data security, data retention, observability, AI, and user testing. The discussion emphasizes the importance of balancing data access with privacy and security concerns, as well as the role of observability in understanding user behavior and system performance. Takeaways Observability is the degree to which systems can be understood and managed based on telemetry data. Challenges of scale and storage impact the maintenance of observability as systems grow. Balancing data access with privacy and security is crucial Observability plays a key role in understanding user behavior and system performance Chapters 00:00 Introduction to Observability 01:02 Defining Observability 02:26 Levels of Observability 04:12 Observability in Google Search 05:35 Data Aggregation and Pre-processing 10:19 Dynamic Sampling and Compression 13:42 Challenges of Scale and Storage 18:37 Structured Logging and Data Transformation 22:04 The Challenge of Query Speed 23:01 Optimizing Query Performance 25:25 Data Access and Insider Risk 26:23 Access Control and Data Privacy 27:48 Data Security and Privacy Concerns 28:18 Data Access and Anonymization 28:48 Data Access Auditing and Monitoring 29:18 Data Privacy and Access Control 29:46 Data Privacy and Access Control (Contd.) 31:43 Observability and Data Retention 32:11 Data Retention and Privacy 32:41 Data Retention and Privacy (Contd.) 35:32 Observability and AI 36:27 Observability and AI (Contd.) 41:07 Observability and User Testing 42:06 Observability and User Testing (Contd.) 43:05 Advice for Beginners Find rachel at: https://www.linkedin.com/in/rachel-grey-b69319/ (https://www.linkedin.com/in/rachel-grey-b69319/) https://bsky.app/profile/greyoctagon.bsky.social (https://bsky.app/profile/greyoctagon.bsky.social) Find Liz at: lizthegrey.com (http://lizthegrey.com) linkedin.com/in/efong (http://linkedin.com/in/efong) bsky.app/profile/lizthegrey.com (http://bsky.app/profile/lizthegrey.com)

2. 

   15 Jul 2026

   34 - AI and Music with Asli and Stefano

   The conversation delves into the intersection of AI and music, exploring its historical context, impact on music creation, and the ethical and legal implications. It addresses the artistic, cultural, and economic aspects of AI in music, highlighting the role of artists and the future of music creation in the context of AI. The discussion also touches on the business of AI in music and its potential impact on the music industry. Takeaways AI in music production Ethical concerns in AI-generated music Chapters 00:00 Introduction to AI and Music 01:03 History of AI in Music Production 02:00 The Use of AI in Music Production 02:55 The Impact of AI on Music Creation 05:15 The Artistic Value of AI in Music 06:15 The Business of AI in Music 07:10 The Cultural and Economic Impact of AI in Music 09:33 The Technical and Artistic Aspects of AI in Music 10:03 The Role of AI in Music Production 11:02 The Future of AI in Music 12:26 AI and the Music Industry 13:24 AI and the Cultural Significance of Music 17:17 AI and the Economic Impact on Music 19:13 AI and the Legal and Ethical Implications 27:09 AI and the Future of Music Creation 32:47 AI and the Role of Artists in Music

3. 

   22 May 2026

   33 - On Working With LLM Assistants

   In this conversation, Paul and Tim discuss their experiences with AI assistance in coding and its impact on their workflows. They explore the influence of AI assistance on learning and skill development, as well as the challenges and adjustments required in their coding processes. The conversation also delves into the reliability and trust in AI assistance, as well as the concept of authorship and the influence of AI assistance on coding practices. The conversation delves into the themes of code ownership and responsibility, as well as the impact of AI on coding practices. It also explores the concept of the Centaur and the augmentation of human intelligence by AI. Additionally, it discusses the role of experience and expertise in coding, highlighting the challenges and opportunities for new programmers entering the industry. The conversation delves into the application of agile principles in legacy code, emphasizing the importance of incremental development and the concept of walking skeletons. It also explores the resurgence of XP principles and their relevance in modern agile adoption. Additionally, the discussion touches on the cost and viability of AI code assistants, highlighting the need to balance their utility with associated expenses. Takeaways AI assistance impacts coding workflows AI assistance influences learning and skill development Code ownership and responsibility Impact of AI on coding practices Incremental development Agile principles Cost of AI code assistants Chapters 00:00 Authorship and Influence of AI Assistance 33:28 Code Ownership and Responsibility 42:34 Experience and Expertise in Coding 01:08:20 Working with Legacy Code and Agile Principles 01:16:19 Old Becoming New Again: XP Principles and Agile Adoption 01:35:45 Cost of AI Code Assistants Find Paul: https://feedbackdriven.dev/ (https://feedbackdriven.dev/) https://www.youtube.com/@FeedbackDrivenDev (https://www.youtube.com/@FeedbackDrivenDev) https://www.linkedin.com/in/paul-hammond-bb5b78251/ (https://www.linkedin.com/in/paul-hammond-bb5b78251/) Find Tim: https://www.linkedin.com/in/agileotter (https://www.linkedin.com/in/agileotter) agileotter.blogspot.com (http://agileotter.blogspot.com) https://leanpub.com/u/tottinge (https://leanpub.com/u/tottinge) https://techhub.social/@tottinge (https://techhub.social/@tottinge) Notes and links: https://www.industriallogic.com/blog/work-to-be-interruptible/ (https://www.industriallogic.com/blog/work-to-be-interruptible/) https://agileotter.blogspot.com/2022/03/splitting-stories-resource-list.html (https://agileotter.blogspot.com/2022/03/splitting-stories-resource-list.html) https://www.geepawhill.org/2021/10/26/mmmss-a-closer-look-at-steps/ (https://www.geepawhill.org/2021/10/26/mmmss-a-closer-look-at-steps/) The Systems Bible - By John Gall. https://www.industriallogic.com/blog/story-points-why-is-this-so-hard/ (https://www.industriallogic.com/blog/story-points-why-is-this-so-hard/)

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