Pull Request is a community-driven AI podcast about everything tech
The podcast Pull Request is created by Michael Lugassy. The podcast and the artwork on this page are embedded on this page using the public podcast feed (RSS).
This podcast provides a structured journey through Resilience Engineering, starting with fundamental concepts and culminating in widely used resilience patterns. Listeners will learn the benefits, limitations, and practical considerations of building robust, failure-tolerant systems.
This podcast provides a comprehensive look at real-time data processing, starting with foundational concepts before progressively exploring advanced patterns and solutions. Through these chapters, you'll gain both strategic insights and practical takeaways for building robust stream processing pipelines with modern tools.
This podcast series offers a clear and pragmatic look at Milvus DB, covering its foundational concepts, indexing strategies, and standout applications. Perfect for mid-level to senior developers who want to understand vector databases and their practical impact.
This podcast begins by examining why web scraping remains vital, then explores the essential concepts of Apify, weighing its pros and cons against alternatives. We discuss popular Actors and the built-in Crawler Actor, moving on to headless browser integrations and proxies. The final chapters focus on building custom Actors and turning them into an income stream on the Apify platform.
This podcast explores Lit's core concepts, its advantages over popular frameworks, and how the Shadow DOM contributes to speed and security. Each chapter transitions from basic fundamentals to deeper insights, presenting Lit’s most popular features in an engaging and practical manner.
This podcast begins with the foundational aspects of LocalStack—covering basic concepts, value propositions, and essential features—before exploring more advanced topics and real-world considerations, ensuring mid-level to senior developers are equipped with practical knowledge.
In this podcast, we explore what makes Embeddings a critical tool in modern NLP, covering core concepts, industry use cases, and advanced techniques. Whether you’re building quick prototypes or domain-specific solutions, these chapters offer insights into how to leverage Embeddings effectively and responsibly.
This table of contents provides a structured guide to PagerDuty, starting from foundational concepts and moving through more advanced features and real-world examples. It emphasizes why PagerDuty matters, its competitive advantages, and how it can streamline incident management for various use cases.
This podcast provides a practical overview of Cursor.ai IDE, comparing it with leading code assistants, emphasizing its unique features, and touching on vital aspects like collaboration, Composer, and various LLM model options. It closes with a discussion of legal considerations, ensuring developers have a well-rounded perspective.
This podcast covers foundational Okta knowledge and a progression into advanced, real-world use cases, helping listeners grasp key identity and access management concepts, compare Okta with other providers, and explore its critical features, integrations, and security benefits.
This podcast series provides a progressive exploration of GitHub Actions, starting from foundational concepts and quickly moving to advanced features and orchestration. Each episode highlights key benefits, compares alternatives, and offers practical insights into setting up robust CI/CD workflows.
This podcast begins with the fundamental concepts of monorepos and their advantages over single-repo and multi-repo approaches, then gradually delves into crucial collaborative and configuration strategies, finishing with advanced tooling and performance considerations for large-scale codebases.
An organized guide from Snowflake fundamentals to advanced capabilities, covering why it’s useful, how it compares to alternatives, and the essential features that developers need to build impactful solutions.
This podcast takes you on a journey from Elasticsearch fundamentals to advanced use cases, highlighting its flexibility in search and analytics. We address how to get started, compare it with competitive solutions, and showcase its powerful querying and aggregation capabilities, culminating in forward-looking applications such as embeddings.
This podcast begins with the fundamentals of ClickHouse and its best use cases, then navigates through competitor comparisons, getting started, ingestion methods, materialized views, projections, and hardware considerations. Listeners will leave with a comprehensive understanding of why and how to use ClickHouse effectively.