Episode
Delivering Scoped Solutions: Lessons in Fixing Production System Issues - ML 144
- Published
- Mar 21, 2024
- Duration seconds
- 2292
- Processing state
failed
Actions
POST https://stenobird.com/v1/public/podcasts/adventures-in-machine-learning/episodes/delivering-scoped-solutions-lessons-in-fixing-production-system-issues-ml-144/transcription-requests
Idempotently request low-priority transcript generation for this episode.GET https://stenobird.com/podcast/adventures-in-machine-learning/delivering-scoped-solutions-lessons-in-fixing-production-system-issues-ml-144.md
Read the agent-friendly Markdown representation of this episode resource.
Summary
Michael and Ben share their insights on being called in to fix issues in production systems at the last minute. They stress the importance of asking questions to understand the context and navigate the political landscape, and caution against providing half-baked solutions. They also discuss the significance of understanding project goals, documenting decision-making processes, and providing guidance to the team to avoid building unnecessary and difficult-to-maintain systems. Stay tuned as they share their experiences and valuable advice for navigating complex projects and delivering meaningful solutions. Sponsors Chuck's Resume Template Developer Book Club Become a Top 1% Dev with a Top End Devs Membership Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .