Quoting Donald Knuth
Donald Knuth reflects on an AI (Claude Opus 4.6) solving an open problem he was working on, prompting a revision of his views on generative AI.
Donald Knuth reflects on an AI (Claude Opus 4.6) solving an open problem he was working on, prompting a revision of his views on generative AI.
Donald Knuth shares his reaction to an AI solving an open problem he was working on, highlighting advances in AI reasoning.
Explores why non-programmers struggle to see software solutions, contrasting their mindset with the automation-focused perspective of developers.
Explores why non-programmers struggle to see software solutions, contrasting their mindset with the automation-focused thinking of developers.
Discusses how LLMs fit into a software developer's career, emphasizing the enduring importance of understanding fundamental computer science concepts.
A speculative blog post predicting that a universal 'Last Algorithm' for AI problem-solving could emerge in 2026 through advanced iterative loops.
A senior Google engineer shares 21 non-technical lessons on thriving in a tech career, focusing on user obsession, collaboration, and execution.
The core challenge of programming is translating ambiguous human thought into precise computational logic, not just writing code.
A critique of AI's role in software development, arguing that output is not productivity and that expertise remains essential for solving real problems.
A developer argues for using AI as a 'tutor' for critical thinking tasks, not just a tool to do the work, to maintain and improve core cognitive skills.
A guide on advancing your software engineering career by shifting from solving defined problems to identifying the right business problems to solve.
Explores how pattern matching in programming relates to the mental patterns experienced software engineers use to solve problems efficiently.
A developer argues for writing blog posts about the messy, real-world problem-solving process, not just polished 'happy path' tutorials.
Explores AI's potential as a universal problem-solving tool, framing any challenge as a transition from a current state to a desired state.
A walkthrough of solving the 'Pyramid Slide Down' coding problem using dynamic programming, starting from the bottom up.
Engineers should focus on understanding the underlying problem behind a task, not just executing it, to avoid creating useless or poorly designed features.
A developer argues that embracing confusion leads to deeper technical understanding and valuable blog content.
Explores how preparation and pre-thinking can compensate for a lack of quick-wittedness in meetings and technical discussions.
The article explains the XY Problem, a common communication issue where someone asks about their attempted solution instead of their actual goal.
Explores how software engineers create and focus on imaginary problems to escape boring tasks, leading to inefficient solutions and bad software.