C++ Under Pressure: A Practical Interview Guide from 1k Technical Interviews
This book distills insights from over 1,000 technical interviews into a practical guide for C++ job seekers. It covers common interview topics, problem-solving strategies, and the patterns observed across real-world coding assessments, aiming to help engineers prepare effectively for C++ roles.
Background
- **Leanpub** is a platform for self-publishing technical books; authors keep high royalties and readers can pay-what-you-want above a minimum.
- **C++** is a systems-programming language widely used in finance, game engines, embedded systems, and big-tech infrastructure — notoriously complex, with manual memory management, templates, and subtle performance traps.
- This book claims to distill insights from *1,000+ technical interviews*, meaning the author likely worked as a hiring manager or senior engineer at a company (e.g., a trading firm or FAANG) that uses C++ heavily in high-stakes environments.
- The implied value: typical C++ interview prep materials are either too academic or too toy-problem-focused; this one promises practical, pressure-tested knowledge of the language features, pitfalls, and design patterns that actually come up in real interviews at competitive firms.
Max Weinbach says he had early access to OpenAI's new model GPT-5.6 Sol, calling it his favorite model by far. He highlights that it never gives up and will keep reasoning until it's done. OpenAI announced that GPT-5.6 Sol, along with Terra and Luna, will launch publicly on Thursday, with preview access expanding globally now.
The US government ordered Anthropic to suspend access to its Fable 5 and Mythos 5 models for all customers, citing a potential jailbreak technique that involved asking the model to review a codebase for vulnerabilities—a capability Anthropic says is available in other public models. Access was abruptly cut off on June 12.
Andrej Karpathy announces the release of Claude Fable 5, the same underlying model as Mythos but with added safeguards. He calls it a major step forward, particularly for long problem-solving sessions on difficult tasks, and describes it as state-of-the-art on nearly all benchmarks with exceptional performance in software engineering, research, and vision.
Roman Storm warns that the legal theory in his case could set a precedent making open-source developers liable for how others use their code, potentially criminalizing the mere publication of privacy, messaging, or crypto tools. He notes that developer Michael Lewellen cannot publish lawful code due to prosecution fears, and argues this chilling effect extends beyond any single case.
Meta's engineering culture is deteriorating under Mark Zuckerberg and Scale AI CEO Alexandr Wang, who have introduced keyboard tracking, reassignments to data labeling, and AI-centric performance metrics. Critics argue this incentivizes performative AI use, drives away experienced engineers, and contributed to a major Instagram hijacking incident caused by AI-written and AI-reviewed code.