Will AI eliminate programming jobs? A deep dive into why the role is more likely to evolve towards engineering oversight, verification, and system design, rather than disappear.
An analysis of why LLMs are currently better suited to augment engineers than replace executives, focusing on the critical roles of accountability, human leadership, and true innovation that AI cannot yet fulfill.
Struggling to get your side projects across the finish line? Discover a collection of proven mindset shifts, scoping techniques, and workflow disciplines to help you turn your ideas into completed projects.
The 'Tea' app suffered multiple major data breaches, yet remains on the App Store, prompting a debate about Apple's review process, financial incentives, and the software industry's lack of accountability for user data.
Discover the surprising reason companies pay millions for consultants (hint: it's not for advice) and explore other massive resource sinks, from intentionally destroyed goods to the energy drain of AI and crypto.
Developers discuss how much credit to take for code written with LLMs, debating attribution, responsibility, copyright, and the evolving nature of authorship in software development.
A Hacker News discussion explores the likelihood of AI replacing managers, weighing AI's efficiency in tasks against the irreplaceable human elements of leadership and empathy. Discover the potential futures of management in an AI-driven world.
A Hacker News discussion analyzes whether human coordinators will remain essential as AI agents grow more capable, or if clients will manage AI "staff" directly. Key arguments focus on client preference, human judgment, and accountability.