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Anthropic hiring manager Felix Rieseberg explains why he retired the traditional coding interview, arguing Claude now outperforms humans at such tests, and offers advice for junior engineers on leveraging curiosity and fresh perspective in an AI-driven industry.
A discussion on the paths to gaining creative freedom in tech and AI careers, highlighting apprenticeship as a fourth route—giving up stable jobs to learn like a full-time PhD student—while quoting Bojie Li on how frontier labs reject unpaid contributors due to their GPU and token costs.
Addy Osmani argues that using AI agents for software engineering is now the default, urging senior engineers to lead adoption and share learnings openly with their teams rather than experimenting privately.
Guest post on Terence Tao's blog by Álvaro Lozano-Robledo addressing students worried that LLM advances may upend mathematical research careers, urging them to keep studying math while examining whether AI will surpass human researchers and shrink academic math.
htmx 作者、蒙大拿州立大学计算机科学教授 Carson Gross 撰文探讨“在 AI 时代是否还应该成为程序员”,他认为编程的核心——解决问题与控制复杂性——依然有价值,但强烈警告初学者不要依赖 AI 生成代码,必须亲手写代码才能读懂代码,并指出 LLM 并不像编译器那样确定、往往引入额外的偶然复杂性。
Nader Dabit shares career advice for landing AI/tech interviews, emphasizing researching companies deeply, building polished demo projects, and being mindful of hiring managers' limited time.
A software engineer offers practical career advice to junior developers, urging them to ignore outdated ZIRP-era guidance, be pragmatic and helpful, and engage with AI tools without abandoning their own judgement in the LLM era.
In this podcast episode, Ethan Evans, former Amazon VP, discusses corporate politics and career strategies, including advice on gaining recognition, handling bad managers, and navigating power dynamics in tech companies.
An upcoming interview with Ethan Evans, former Amazon VP, will explore increasingly dark questions about corporate politics in the tech industry.
The article explores strategies for programmers to maintain their passion and enjoyment in coding despite the increasing prevalence of Large Language Models.
An article providing guidance on how to become a robotics engineer within a six-month timeframe, likely covering skills, resources, and learning paths.
Paul Graham advises a CS undergrad that in the AI age, one can have the most impact by either developing LLMs or using AI to directly serve customer needs.
Gergely Orosz is preparing a lecture for sophomore students on software engineering, revamping his 2024 talk with an angle emphasizing proactive learning.
The blog post describes the 'senior engineer death spiral,' a cycle where engineers overwork and become isolated, leading to burnout. It offers advice on maintaining transparency and avoiding this pitfall.
The author describes their path into information security through self-learning, CTF competitions, and programs like AIS3, sharing career advice on skills and certifications in the field.
The article advises software professionals to start gradually transitioning to hardware, highlighting 2026 as the best year to make this career pivot.
This article provides a development strategy for computer science students, urging early investment in a MacBook and AI model subscriptions, followed by hands-on experience in real-world scenarios and later mastering foundational knowledge.
Rolequiry connects career priorities to job postings and helps prepare interview questions by analyzing public sources for evidence and counter-signals.
Simon Willison discusses influential blog posts that have shaped his thinking in software engineering, including works by Joel Spolsky, Will Larson, and Charity Majors.
MIT professor Peter Shor gives advice to aspiring computer scientists in a throwback video shared by MIT_CSAIL.