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The podcast discusses the shifting landscape of the tech hiring market, with uncertainty about the future and the potential for a return to a more competitive market.
The podcast explores the role of AI in software development, highlighting how it aids in observability, database schema, and other unique aspects that have emerged in recent years.
The podcast speculates on the future of software engineering, suggesting a potential increase in demand for software engineers in industries beyond big tech, leading to overall improvements in work conditions and quality of life.
The podcast addresses concerns about job automation and the increased need for software engineers with deeper skills, as well as the potential impact of pass/fail grading systems on the capabilities of recent graduates.
Experienced developers who have mastered AI tools and can immediately identify mistakes and leverage them to work more efficiently. Also, newcomers to the workforce who are AI-native and can quickly adapt and utilize AI tools to become productive.
The book titled 'Software Engineer's Guidebook' written by the podcast speaker is targeted at entry-level and mid-level software engineers as well as experienced engineers who have not worked at big tech companies before. It aims to provide practical advice and insights on topics such as promotions, expectations, team dynamics, stakeholder management, and industry-specific terminology. While the book primarily caters to software engineers, it can also be beneficial for managers looking to help grow their engineers' skill sets.
Gergely Orosz is back for our annual year-end update on the tech market, writ large. How is hiring? Has AI really changed the game? What about that OpenAI fiasco?
We also talk in-depth about Gergely’s self-published book, The Software Engineer’s Guidebook, which has been four years in the making.
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