Ai
17 Jul 2026
Practical AI - The Future of AI Infrastructure with CoreWeave
"AI infrastructure demands specialized, application-centric systems for training and inference, addressing challenges like GPU failures and orchestration inefficiencies, while emphasizing observability, cost optimization, and the future of AI-driven workflows and democratized research."
Business
14 Jul 2026
All Things Product - Quality Of Evidence
Recommended: How to perform Qualitative User Research
"Direct user research, like interviews and observations, is essential for informed product decisions, as indirect feedback often lacks context; qualitative insights, alongside data and expertise, help avoid assumptions, though challenges like misinterpretation and AI-assisted analysis complicate the process."
Development
16 Jul 2026
Software Engineering Daily - Agentic DevOps at AWS
"AI agents transform DevOps by automating tasks, improving incident response, and enabling faster, more efficient workflows, with AWS integrating them into existing tools while emphasizing human oversight and career growth."
15 Jul 2026
The Pragmatic Engineer - Context engineering with Dex Horthy
"Explores AI's role in software development, addressing challenges like code quality, human oversight, and balancing automation with human judgment while evaluating different AI-assisted approaches and future implications."
13 Jul 2026
Podcasts by InfoQ - Governance in the Age of AI: A Conversation with Sarah Wells
"AI and architecture decisions shape long-term systems, requiring governance to balance standardization and flexibility, while platform engineering and DevOps aim to reduce friction; challenges include fragmentation, compliance, and risks like security and cost, with AI's role evolving alongside human oversight, mentorship, and adaptability in software development."
Marketing
17 Jul 2026
AI-Driven Marketer - ChatGPT Work For Marketers (& The Trap To Avoid)
"AI advancements like ChatGPT's Codex integration enable autonomous document management and diverse output generation, while marketers grapple with information overload and practical AI application, focusing on workflow automation and solving bottlenecks for revenue growth."
Motivation