Andrew Ng explains that concrete ideas beat vague concepts because they generate rapid binary feedback, enabling teams to fail fast and learn quickly. AI has fundamentally transformed software development by making code rebuilding so fast that starting fresh often costs less than maintaining legacy systems, shifting the bottleneck from engineering to product management. Rather than replacing programmers, AI democratizes coding, making it a universal tool like spreadsheets that enhances everyone’s primary role without turning them into professional developers.

I thought app development was only for programmers until I tried no-code platforms. My journey from complete beginner to building working apps will inspire you to start creating.

Hilary Gridley’s podcast with Lenny offers a masterclass in building resilient teams through three key insights: teaching people to “take a punch” by transforming setbacks into forward action, understanding how leaders think rather than just what they think, and using AI to dramatically accelerate professional development. These approaches fundamentally change how we build careers and lead teams in today’s complex workplace.

While project management, product management, and programme management are often confused, they serve distinct but complementary purposes: project management ensures execution within budget and timeline constraints, product management drives strategic vision from conception to market launch, and program management coordinates multiple initiatives to deliver enterprise-wide objectives.

Curious about AI’s potential, I decided to test it with a personal project. I wanted daily climate news without the hassle of checking multiple websites, so I embark on a journey to create an automated newsletter using Zapier that delivers curated stories directly to my inbox. Step 1: I started by building an RSS feed…